Вакансии

Location: Tbilisi, Georgia; Kyiv, Ukraine; Minsk, Belarus; Batumi, Georgia Join LBC Mortgage and Help Shape the Future of Mortgage Marketing LBC Mortgage is a growing U.S.-based mortgage company with over 20 years of industry experience. We are looking for an energetic, innovative, and results-driven Marketing Manager who is passionate about digital marketing, embraces AI technologies, and knows how to generate real business growth. If you are someone who loves creating marketing strategies, testing new ideas, leveraging artificial intelligence, and driving measurable results, we would love to hear from you. What You'll Do Develop and execute comprehensive marketing strategies to increase brand awareness, lead generation, and loan production. Manage and optimize digital marketing campaigns across multiple channels, including Google, social media, email marketing, SEO, and paid advertising. Create and oversee content marketing initiatives, including blogs, videos, educational materials, and social media content. Utilize AI tools and technologies to improve marketing efficiency, automate workflows, enhance content creation, and analyze campaign performance. Monitor and report on key marketing metrics, ROI, and campaign effectiveness. Collaborate with sales, loan officers, and leadership to align marketing initiatives with business objectives. Manage and grow the company's online presence and reputation. Identify new growth opportunities, emerging trends, and innovative marketing solutions. Oversee marketing vendors, freelancers, agencies, and technology platforms when needed. Continuously test, optimize, and improve lead generation funnels. What We're Looking For 3+ years of experience in marketing management, growth marketing, or digital marketing leadership roles. Experience in the mortgage, lending, real estate, financial services, or related industries is highly preferred. Strong understanding of digital marketing channels, including SEO, PPC, social media advertising, email marketing, and content marketing. Hands-on experience with AI-powered tools such as ChatGPT, Claude, Gemini, Jasper, Midjourney, automation platforms, or similar technologies. Strong analytical mindset with the ability to interpret data and make data-driven decisions. Excellent project management and organizational skills. Creative thinker who enjoys experimenting with new strategies and technologies. Outstanding written and verbal communication skills. Self-motivated, proactive, and capable of working independently in a remote environment. Bonus Points For Mortgage industry marketing experience. Experience with CRM systems and marketing automation platforms. Knowledge of website optimization, conversion rate optimization (CRO), and lead nurturing. Experience managing remote teams, agencies, or contractors. Video marketing and personal branding experience. What Success Looks Like Increased qualified lead generation. Improved brand visibility and engagement. Stronger digital presence across all channels. Efficient use of AI tools to improve productivity and marketing performance. Measurable contribution to company growth and loan production. Why Join LBC Mortgage? Work with an established and growing mortgage company. Fully remote position. Opportunity to make a direct impact on company growth. Freedom to bring new ideas and implement innovative strategies. Work with leadership that values creativity, initiative, and results. Access to modern marketing and AI tools. Competitive compensation based on experience and performance. Ready to Join Us? If you're a marketing professional who combines creativity, strategic thinking, data-driven decision-making, and a passion for AI innovation, we'd love to hear from you. Apply today and help LBC Mortgage redefine mortgage marketing for the next generation.

Location: Amsterdam, Netherlands With over 200 years of tradition and excellence, our client is a proud Japanese family-owned company and one of the most innovative brands in the global pet food industry. Their premium products set standards in quality, taste, and animal well-being. To accelerate their growth in North-Western part of Europe, they are looking for an ambitious and entrepreneurial Key Account Manager for the Netherlands who is ready to take on a critical role to expand our presence on the market and actively shape our success story. Your mission As experienced Key Account Manager you will play a pivotal role in our growing business in The Netherlands. Working in an exciting and dynamic business environment, you can expect autonomy to build and execute strategic growth agendas, aligned to the business priorities. Exploring new business opportunities, developing and executing customer business plans throughout the Dutch market Sell and negotiate, build strategic growth agendas with customers. Provide training and development for “external” Sales Representatives. Communicate with clients on a regular basis. Review, monitor and manage daily business, aligned to key business priorities. Increase standards of customer service. Set and meet sales targets for individual locations. Develop and align sales forecasts with customers. Requirements Your profile Your profile: You are entrepreneurial, proactive, and passionate about sales. You combine strategic thinking with hands-on execution and enjoy building long-term partnerships. Experience in the Pet Food Industry of at least 5+ years is a must Proven experience in sales or key account management Based in the Netherlands, with a valid driver’s license Fluent in Dutch and English. Knowledge of French is a plus. Strong negotiation skills and a confident, persuasive presence. Strategic thinker with strong commercial awareness. Adaptable and responsive to a fast-growing company. High level of customer orientation and relationship-building ability. Structured, independent working style with willingness to travel across the Netherlands. Resilient and solution-oriented, even in challenging situations. Genuine passion for pets and their well-being. Benefits What we offer A high-impact role with real ownership and entrepreneurial freedom. Attractive compensation package, including a company car (also for private use). Long-term career perspective within a stable, internationally growing company. Professional onboarding and continuous development opportunities. A dynamic, motivated international team. A fast-growing premium brand with huge market potential.

Location: Thuwal, Saudi Arabia Eram Talent is seeking a proactive and detail-oriented IT Administrative Analyst to support the day-to-day administration, reliability, and continuity of digital systems, user devices, and classroom technology. Reporting to the Operations Manager, the role is responsible for managing IT systems, supporting end users, maintaining digital platforms, coordinating hardware and audio-visual technologies, and ensuring operational readiness across the school environment. The successful candidate will also provide operational support to cross-functional teams, contributing to the efficient delivery of academic and administrative activities. The ideal candidate has experience in IT systems support, device management, and digital operations, preferably within an educational environment. Key Responsibilities Administer and support core digital platforms, including Student Information Systems (SIS), Learning Management Systems (LMS), Google Workspace, and communication platforms. Manage user accounts, permissions, and system access while ensuring compliance with security and data protection policies. Monitor system performance, troubleshoot technical issues, and escalate incidents when required. Configure, deploy, maintain, and support school-owned devices, including laptops, iPads, and shared peripherals. Coordinate device inventory, repairs, warranties, replacements, and lifecycle management. Provide operational support for classroom and shared-space audio-visual systems, including projectors, displays, sound systems, and conferencing equipment. Support technology setup and troubleshooting for lessons, meetings, school events, and assemblies. Assist with academic year preparation, including user onboarding, class creation, device allocation, and system configuration. Maintain accurate documentation of systems, devices, licences, warranties, and vendor support activities. Coordinate with external vendors for hardware, software, and AV support services. Support continuity planning, system security, and incident response in accordance with organisational policies. Collaborate with Academic, Admissions, HR, Finance, and Operations teams to support digital and operational requirements. Assist with reporting, operational coordination, and technology-related projects across the organisation. Ensure compliance with safeguarding, data protection, confidentiality, and acceptable use policies. Requirements Qualifications & Requirements Bachelor's degree or diploma in Information Technology, Computer Science, Information Systems, or a related field. Minimum 7 Years of Experience in IT support, systems administration, or digital operations. Hands-on experience supporting laptops, iPads, and end-user devices. Familiarity with Google Workspace, Student Information Systems (SIS), Learning Management Systems (LMS), or similar platforms. Experience supporting audio-visual equipment and classroom technology is an advantage. Strong organisational, documentation, and problem-solving skills. Excellent communication and interpersonal skills with the ability to support non-technical users. Previous experience in an educational or school environment is preferred.

Location: Cairo, Egypt Workplace: hybrid About the Role Work with the product and design teams to understand end-user requirements, formulate use cases, and translate them into pragmatic and effective technical solutions. Responsibilities Work with different stakeholders to establish a culture of technical excellence and be responsible for the success and personal growth of your team. Oversee engineering teams and their projects, ensuring they can deliver their best work by identifying and removing blockers and coaching teammates. Build robust and scalable software in Java. Help improve existing code quality through quality assurance practices and code reviews. Participate in brainstorming sessions and contribute ideas to technology, algorithms, and product development. Contribute to hiring the engineering team for the product you are responsible for. Requirements ·       Previous experience with digital products or in a similar product role at a FinTech company, digital bank, or payment provider. ·       At least 3 years of experience as an Engineering Manager or Tech Lead within an engineering organization. ·       Extensive experience with cloud technologies, microservices architecture, continuous delivery, and modern human-computer interfaces. ·       Strong understanding of Agile methodologies. ·       Excellent leadership and project management skills, ideally with experience managing remote teams. ·       Solid software design knowledge with the ability to create extensible, reusable, and scalable solutions. ·       Demonstrated ability to prioritize, self-start, contribute under pressure, and meet tight deadlines. ·       Highly organized, creative, and critical thinker. ·       Comfortable working in an entrepreneurial environment. ·       Experience working with core banking software is a plus. ·       BSc/MSc in Engineering, Computer Science, or a related field.

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid About the Role Work with the product and design teams to understand end-user requirements, formulate use cases, and translate them into pragmatic and effective technical solutions. Responsibilities Work with different stakeholders to establish a culture of technical excellence and be responsible for the success and personal growth of your team. Oversee engineering teams and their projects, ensuring they can deliver their best work by identifying and removing blockers and coaching teammates. Build robust and scalable software in Java. Help improve existing code quality through quality assurance practices and code reviews. Participate in brainstorming sessions and contribute ideas to technology, algorithms, and product development. Contribute to hiring the engineering team for the product you are responsible for. Requirements ·       Previous experience with digital products or in a similar product role at a FinTech company, digital bank, or payment provider. ·       At least 3 years of experience as an Engineering Manager or Tech Lead within an engineering organization. ·       Extensive experience with cloud technologies, microservices architecture, continuous delivery, and modern human-computer interfaces. ·       Strong understanding of Agile methodologies. ·       Excellent leadership and project management skills, ideally with experience managing remote teams. ·       Solid software design knowledge with the ability to create extensible, reusable, and scalable solutions. ·       Demonstrated ability to prioritize, self-start, contribute under pressure, and meet tight deadlines. ·       Highly organized, creative, and critical thinker. ·       Comfortable working in an entrepreneurial environment. ·       Experience working with core banking software is a plus. ·       BSc/MSc in Engineering, Computer Science, or a related field.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role The Data-Nexus team, a central part of the R&D department at Aidoc, is seeking a versatile Senior Data Engineer to take part in leading Aidoc’s data vision using a lake-house architecture,  and building high-scale solutions for handling and consuming the different data assets of the company. In this role you’ll go beyond traditional boundaries, taking on full product responsibilities - from conceptualization and architecture to design, maintenance, and continuous development. You will collaborate closely with stakeholders across the company to ensure our solutions effectively meet their needs. The ideal candidate will have strong data engineering capabilities, along with software development skills including understanding of designing and managing AWS cloud infrastructure and strong knowledge of different data architectures, methods and tools. Responsibilities Design and development of scalable, reliable, and secure data infrastructure and build ETL pipelines that handle diverse clinical data for research. Write production SQL, Spark jobs and craft schemas that evolve gracefully as research and production questions change. Automate releases with CI/CD and Infrastructure as Code. Optimise throughput, latency and cloud cost to meet research timelines at large scale. Develop and maintain high-quality, scalable, and efficient code while fostering a culture of continuous improvement through regular retrospectives and knowledge sharing. Take ownership of the full development lifecycle , including requirement gathering, design, implementation, testing, deployment, and ongoing maintenance. Collaborate with cross-functional teams , including data scientists, data analysts, product managers, regulatory teams, and other developers, to drive the development of new tools and features that support Aidoc's mission. Explore and adopt new technologies and frameworks that can enhance the capabilities of the Data-Nexus team and the overall data projects in Aidoc. Requirements BSc/MSc in Computer Science, Engineering, or a related field. 8+ years building data or backend systems in Python or a similar coding language, with a strong focus on cloud data infrastructure and scalable systems. Strong command of SQL and a track record of pragmatic schema design. Deep understanding of data modelling, ETLs and streaming technologies , including hands-on experience with tools like big-data tools like AWS Kinesis / Kafka, Spark. Familiarity with modern lakehouse / warehouse tech, like Databricks, Delta Lake, Iceberg, Snowflake, Redshift. Strong understanding of distributed systems, microservices architecture, containerization, and CI/CD pipelines. Proficiency in Infrastructure as Code (IaC) tools, like Terraform or AWS CDK . Experience with containerization and orchestration tools - Docker, Kubernetes (K8s). Ability to take full product ownership from ideation to delivery, ensuring alignment with business objectives. Familiarity with agile development methodologies. Excellent communication skills with the ability to work effectively across teams and a customer-oriented mindset. Clear English communication is required. Advantages: Deep expertise in Databricks (Delta Lake, Unity Catalog, DLT). Knowledge of the medical tech world, including EHR (HL7, FHIR) data and imaging data . Prior work in regulated domains (healthcare, fintech, aviation), experience with enforcing and managing compliance requirements like HIPAA or FedRAMP. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Product, you’ll own entire product domains end to end. You'll work directly with our advisors, operators, and clients to understand what they need, then prototype, ship, and iterate fast. If you ship it, you own it WHAT YOU’LL BUILD (AND OWN) - Advisor and operator surfaces. The tools your colleagues use to serve clients, built so one advisor can deliver high-touch service to far more clients than they could before. This is how the firm scales without the experience degrading. - Consumer portals. Where clients interact with their advisor, see their full financial picture, and engage on their own terms. This is also our organic growth engine: the surface that turns a good experience into clients who come to us on their own. - The AI that powers all of it. From the tools and skills agents use, to how those agents are embedded in the product itself. This is the layer that makes the other three feel intelligent rather than just digital. EXAMPLE PROBLEMS YOU’D WORK ON These aren’t hypothetical; we’re actively working on versions of all of these. - A research agent advisors actually trust. An advisor prepping for a client meeting needs to know how a pending divorce affects an estate plan, cross-referenced with tax law and the client's portfolio. The agent has to search proprietary data, integrations, and the web, then synthesize something the advisor can act on without second-guessing. "Close enough" isn't acceptable here. The hard part is building a system that knows what it doesn't know, and surfaces that uncertainty in a way that builds trust, under real constraints: compliance, auditability, and datasets where a stale answer is as harmful as a wrong one. - Generative UI that doesn't break the advisor's flow. Our agents view and update the advisor's frontend in real time: dynamic scenarios, interactive plan adjustments, visualizations that shift as the conversation does. The challenge is ensuring agents can reliably render and manipulate our pages without feeling unpredictable. An advisor mid-call can't be troubleshooting their UI. - An agentic planning engine that earns trust over time. A client about to retire wants to know if they can help their kids with a down payment. The agent has to hold a continuously updated model of each client's situation, surface the right adjustments at the right moment, and explain its reasoning in terms the advisor can relay in plain English—getting more accurate the longer it knows someone. - A migration engine that makes every acquisition possible. Every firm runs on something different: a CRM last updated in 2011, a proprietary custodian export, a decade of notes in a shared folder. The engine has to ingest all of it and produce data clean enough to power the models we build on top. Get it wrong and the personalization doesn't work. Data quality is the moat; migrations are how we grow. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You're unusually good at understanding users and willing to act on it. You'd rather sit next to an advisor during a client call, watch where they hesitate, and come back with a point of view than wait for a PM to hand you a spec. You know the difference between what users ask for and what they actually need. - You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint. - You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix. - You’re someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don’t have clean answers. The people who thrive here want to argue about product direction at lunch and then build something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you’re genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: Des Moines, IA Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Mechanical Engineer, you will work with leading technology companies and mission-critical clients to support the design and delivery of complex, high-impact projects. You’ll contribute to mechanical design efforts by performing calculations, assisting with technical reports, and preparing construction documents. In this role, you’ll collaborate with experienced engineers and cross-functional teams to develop solutions for large-scale infrastructure projects, including data centers and central utility systems. You’ll gain hands-on experience while building your technical expertise in fast-paced, high-performance environments. You’ll work closely with Olsson teams, technical staff, and clients, supporting project success while continuing to grow your skills and take on increasing responsibility over time. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: 4+ years of related mechanical engineering experience required Project management experience preferred Proficient in Revit Ability to contribute and work well on a team Bachelor's degree in mechanical engineering Strong communication skills Must be a registered professional engineer Previous experience managing employees preferred #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Buenos Aires; Lima; Asunción; Uruguay; Sucre; Quito; Panama; San Jose; puerto rico; San Salvador; Bogotá; Mexico City Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a hands-on User Acquisition Manager to support our marketing team. In this role you will assist in executing and scaling paid campaigns across multiple digital channels, helping grow the user base for two of our flagship apps, Boss Money and Boss Revolution. This is a great opportunity for someone looking to develop their UA skills through smart strategy, continuous testing, and data-driven optimization.  * The interview process will be conducted in English. Responsibilities: Support the execution of paid campaigns across multiple channels, including Google Ads, Meta, TikTok, Snapchat, Reddit, X and others, assisting with strategy, setup and daily optimization. Help develop and execute channel strategies to contribute to user acquisition targets (CPI, CPA, ROAS). Analyze the full performance funnel from ad impression through install, activation and downstream conversions, connecting paid media inputs to outcomes that inform budget and optimization decisions. Support creative testing from concept to completion, executing A/B tests and helping establish a structured testing framework. Monitor and measure creative performance to evaluate how UA optimizations and changes influence results. Identify areas of improvement by analyzing performance data and converting insights into clear actions. Support the day-to-day collaboration with designers and creative teams to ensure ad assets are aligned with each app's messaging and audience. Continuously seek to learn and experiment with new channels, optimization strategies and creative concepts, staying ahead of the latest trends in mobile user acquisition. Experience or interest in leveraging AI tools to support day-to-day marketing tasks, from creative production and copywriting to campaign workflows and performance analysis. Requirements: 3+ years managing paid campaigns in a UA or growth role. B2C App acquisition experience needed. Hands-on experience with paid social platforms such as Meta, TikTok, and Snapchat. Strong analytical mindset with the ability to analyze performance data and turn it into clear optimization decisions. Fluent in English and Spanish ; written and spoken. What we offer: 100% Remote work opportunity! B2B Employment ($, gross). Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.

Location: Georgian office About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Role Summary The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work Accountable for • Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs • Design, automation, and continuous improvement of cloud and on-prem infrastructure • Timely and high-quality response to incidents and escalated support requests • Security, compliance, and cost-efficiency of the infrastructure under the team's ownership • Day-to-day operations of the infrastructure owned by the team Main Responsibilities • Participate in a 24/7 shift schedule • Monitor systems and respond to automated alerts in line with Lineate support SLAs Diagnose and resolve system problems • Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks • Perform routine system administration on Linux and Windows servers • Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk • Document, categorize, and prioritize incoming support requests • Communicate the status of open requests clearly and regularly to customers • Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance) • Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews • Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases • Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking • Contribute to CI/CD pipelines and basic infrastructure automation • Follow basic information security practices (IAM, secrets handling, least privilege) • Participate in the improvement of support and infrastructure processes Necessary Qualification s: • Minimum 3 years of hands-on Linux system administration experience (required) • Minimum 2 year of hands-on experience with AWS in a production environment (required) • Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required) • Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required) • Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks • At least 1 year of Windows system administration experience • Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use) • Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent • Proficiency with Git and standard version-control workflows • Hands-on experience with Docker and container workflows • Experience managing and maintaining production IT infrastructure • Comfortable working with a broad range of open-source technologies and tools Preferred: • Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation • Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts • Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing • Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging • Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring • Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems • Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks) • Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus Exposure to GCP or Azure in addition to AWS We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.

Location: London Workplace: Hybrid Why Engineering @loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: Senior Software Engineers at loveholidays have strong expertise in: - Supplier integration systems that process vast amounts of data - Industry leading bespoke, high performance search and recommendation systems - Sophisticated real time pricing systems - Complex domain modelling and implementation of booking payment, fulfilment and management systems - AI-powered solutions to assist customers pre and post booking - Best in class, modern user experience through web and mobile applications For a better understanding of our work, refer to some of our blog posts https://tech.loveholidays.com/. Or our open source contributions: - github.com/loveholidays/ripley http://github.com/loveholidays/ripley - github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit - github.com/loveholidays/po-test http://github.com/loveholidays/po-test As part of our tech culture we continuously improve our time to delivery, reducing errors and generally leaving things better than you found them. Your day-to-day: - Adoption of our engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 - Building and running services at scale in the cloud - Collaborating with engineers, designers, product managers within and outside of the team - Implementing maintainable and well-tested solutions iteratively, keeping business impact and observability as a primary focus - Understanding the wider context of the business and designing system architectures that meet short and long term business goals Your skillset: - Algorithms, data structures - Observability - Web services, REST, HTTP - Containers, cloud - Testing, reliability, monitoring - Strong knowledge in building and owning application end-to-end, from inception to maintenance, to retirement - Designing systems that scale - Expertise in some of our main programming languages - TypeScript, Java, Golang, Rust, Python Desirable - Experience with Kubernetes, Prometheus, Terraform, NoSQL or GCP Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers The interview journey: - TA screening - 30 mins - 1st Stage - Introduction - 45 mins - Coding challenge - take home test or live pairing - 2nd Stage - 3 hours At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

Location: Cyprus Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. Company & Culture EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account. We cultivate a culture that transcends the ordinary, where rapid responses to market dynamics and proactive problem-solving are the norm. At EXANTE, the potential to make a meaningful impact is ever-present. Our team members continuously pursue personal and professional growth, empowered to spearhead change across people, processes, and products. True innovation stems from an insatiable desire for improvement, and everyone at EXANTE is committed to fostering this spirit and propelling the company forward. As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance. About the Role Build, run and develop EXANTE’s principal trading book across asset classes. Provide liquidity against client flow, manage the resulting inventory and hedge residual exposure to generate P&L within the firm’s regulatory, best-execution and conflict-of-interest framework, with full P&L responsibility for the principal trading book. Reporting line: Chief Operations Officer. Worksite : Remote Responsibilities Principal trading book — provide liquidity against client flow, internalise and aggregate exposures where commercially attractive, manage inventory and hedge residual market risk. Trading strategies — market making, flow trading, relative-value and other legitimate strategies the candidate identifies, within Board-approved risk limits. Counterparty and execution venues — identify, negotiate and onboard the exchanges, prime brokers and OTC counterparties needed for hedging and inventory management. Risk management framework — in partnership with the Risk function, design, implement and operate the risk limits, monitoring and escalation framework for the book. Stock Lending cooperation — coordinate securities inventory, financing and revenue with the existing Stock Lending team, avoiding disruption to that revenue line. Desk cooperation — work with the Options Trading and Fixed Income & Structured Products desks to ensure complementary principal books and shared risk visibility. Operations and platform — cooperate with Operations, Treasury and Technology on workflow, financing, settlement and platform tooling. Conflict and best execution — manage conflicts of interest, best-execution arrangements and product-governance compliance across the relevant booking entities (MiFID II, FCA, SFC and equivalent regimes). Team build-out — size, composition and sequencing at the hire’s discretion as the book grows, consistent with the approved business plan. Experience 10–20 years’ experience in principal trading, flow trading, market making or running a multi-asset trading book at a sell-side firm, broker-dealer, prime broker or proprietary trading house, with documented P&L through different market regimes. Multi-asset risk management — strong background across delta, gamma, vega, correlation, liquidity and counterparty risk. Regulatory expertise — hands-on familiarity with the MiFID II Systematic Internaliser regime, best-execution obligations and conflict-of-interest management in a regulated broker-dealer environment is essential. Securities financing — familiarity with securities financing and stock lending operations is a strong plus. Cooperative profile — non-negotiable; the role only succeeds by working closely with the existing Stock Lending team and the new trading desks, and a track record of operating effectively across desks and functions is expected. Fluent English — mandatory. Commercial and disciplined — technical, comfortable with full accountability for a P&L. What we offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: Switzerland Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. Company & Culture EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account. We cultivate a culture that transcends the ordinary, where rapid responses to market dynamics and proactive problem-solving are the norm. At EXANTE, the potential to make a meaningful impact is ever-present. Our team members continuously pursue personal and professional growth, empowered to spearhead change across people, processes, and products. True innovation stems from an insatiable desire for improvement, and everyone at EXANTE is committed to fostering this spirit and propelling the company forward. As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance. About the Role Build, run and develop EXANTE’s principal trading book across asset classes. Provide liquidity against client flow, manage the resulting inventory and hedge residual exposure to generate P&L within the firm’s regulatory, best-execution and conflict-of-interest framework, with full P&L responsibility for the principal trading book. Reporting line: Chief Operations Officer. Worksite : Remote Responsibilities Principal trading book — provide liquidity against client flow, internalise and aggregate exposures where commercially attractive, manage inventory and hedge residual market risk. Trading strategies — market making, flow trading, relative-value and other legitimate strategies the candidate identifies, within Board-approved risk limits. Counterparty and execution venues — identify, negotiate and onboard the exchanges, prime brokers and OTC counterparties needed for hedging and inventory management. Risk management framework — in partnership with the Risk function, design, implement and operate the risk limits, monitoring and escalation framework for the book. Stock Lending cooperation — coordinate securities inventory, financing and revenue with the existing Stock Lending team, avoiding disruption to that revenue line. Desk cooperation — work with the Options Trading and Fixed Income & Structured Products desks to ensure complementary principal books and shared risk visibility. Operations and platform — cooperate with Operations, Treasury and Technology on workflow, financing, settlement and platform tooling. Conflict and best execution — manage conflicts of interest, best-execution arrangements and product-governance compliance across the relevant booking entities (MiFID II, FCA, SFC and equivalent regimes). Team build-out — size, composition and sequencing at the hire’s discretion as the book grows, consistent with the approved business plan. Experience 10–20 years’ experience in principal trading, flow trading, market making or running a multi-asset trading book at a sell-side firm, broker-dealer, prime broker or proprietary trading house, with documented P&L through different market regimes. Multi-asset risk management — strong background across delta, gamma, vega, correlation, liquidity and counterparty risk. Regulatory expertise — hands-on familiarity with the MiFID II Systematic Internaliser regime, best-execution obligations and conflict-of-interest management in a regulated broker-dealer environment is essential. Securities financing — familiarity with securities financing and stock lending operations is a strong plus. Cooperative profile — non-negotiable; the role only succeeds by working closely with the existing Stock Lending team and the new trading desks, and a track record of operating effectively across desks and functions is expected. Fluent English — mandatory. Commercial and disciplined — technical, comfortable with full accountability for a P&L. What we offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: Tallinn, Estonia Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover , which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits . Collaboration with SportBenefit. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: Munich, Germany; Berlin, Germany What Client look for: You help clients unlock the full potential of their data strategy, by combining strategic thinking, hands-on implementation, and close collaboration with clients and internal teams. You advise leading companies on the organizational and technical optimization of data management. You support change management and data strategy initiatives to ensure sustainable success. You design and implement data strategies, architectures, and scalable data processes. You work closely with clients to co-create pragmatic and impactful solutions that drive digital transformation. You develop innovative data products that create real business value. You conduct data analyses and visualizations to uncover insights and identify improvement opportunities. You facilitate workshops, perform process assessments, and deliver tailored training sessions. You contribute to developing best practices, innovative solutions, and continuously challenge the status quo. Requirements What the client requires: You hold a completed university degree with excellent academic performance in Computer Science, Data Science, Information Systems, or a related field. You have gained first professional experience in data management, analytics, or digital transformation consulting. You possess strong knowledge of SQL and Python as well as hands-on experience with cloud platforms such as AWS, GCP, or Azure. You are familiar with visualization tools such as Power BI, Tableau, or Looker, as well as modern data platforms. You demonstrate excellent communication and presentation skills and are able to convey complex topics in a clear and practical manner. You bring a proactive, service-oriented mindset and stand out through a high level of ownership and commitment. You feel comfortable working in a collaborative and agile environment where you can fully develop your potential. You are fluent in English; additional local language skills are a plus. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - client concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company, and you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: Yerevan, Armenia Description We are seeking an experienced Senior Business Data Analyst to lead analytical initiatives within our Partner Performance Analytics Team. This role plays a critical part in driving partner success through advanced business analysis, strategic recommendations, performance optimization, and cross-functional collaboration. The successful candidate will act as a trusted business partner for senior stakeholders, helping shape strategic decisions through data-driven insights and deep understanding of the iGaming business ecosystem. Responsibilities Lead analysis of partner performance, profitability, retention, and business growth opportunities Own and continuously improve the analytical framework used to evaluate partner success Analyze the effectiveness and ROI of bonus campaigns, promotional mechanics, loyalty initiatives, and retention activities Identify business risks, performance bottlenecks, and emerging trends across partner portfolios Deliver strategic recommendations that improve partner engagement, player value, retention, and profitability Design and develop advanced dashboards, KPI frameworks, and performance monitoring systems Conduct deep-dive investigations into business issues and provide root-cause analysis Support senior management with decision-making through analytical insights and business cases Mentor junior analysts and contribute to the development of analytical standards within the team Requirements 4+ years of experience in Business Analytics, Commercial Analytics, Business Intelligence, Performance Analytics, or related fields Strong experience within iGaming, Sportsbook, Online Casino, or Retention Analytics environments Advanced SQL expertise Advanced proficiency in Power BI Strong experience with KPI design, performance measurement, forecasting, and business performance management Proven ability to transform analytical findings into strategic business recommendations Experience working directly with senior stakeholders and decision-makers Strong understanding of business drivers, profitability metrics, and customer lifecycle analytics Upper-Intermediate or higher English level Deep understanding of iGaming KPIs including GGR, NGR, Bonus Cost, Retention, Churn, ARPU, ARPPU, LTV, CPA, ROI, and Player Segmentation Experience with predictive analytics, forecasting, and statistical modeling Knowledge of Python is a plus Experience leading analytical initiatives or mentoring analysts Excellent communication and presentation skills Ability to explain complex analytical findings to non-technical audiences Ability to challenge assumptions and drive data-driven decision-making Strong business partnering mindset