Technical Consultant I at Suvoda is responsible for working with assigned clients and project teams delivering Interactive Response Technology (IRT) for randomization and drug supply management. Responsibilities include overall maintenance of the team's IRT systems, overseeing support processes, identifying and mitigating potential issues/risks, and collaborating with clients and vendors to ensure successful use of the Suvoda IRT system. The role leads implementation of system change controls during the maintenance phase of studies, manages design of study data integration specifications between the IRT system and other eClinical solutions, and creates data review plans to ensure timely completion. The consultant creates and maintains study FAQ documents for the customer care team, develops system training materials including manuals, walkthrough videos, and presentations, and works with client study teams to set up IRT system data upon system go-live. They serve as the primary escalation point for complex support issues requiring project team input, troubleshoot escalated issues, and identify resolutions. The role involves creating and distributing support and maintenance reports to internal Suvoda team members and client study teams, proactively identifying trends in support data to determine root causes of frequent issues, and collaborating with project managers to implement solutions. Additional duties include identifying and assisting with process improvements in the services department, assisting the product team with design and development of new features based on client feedback and project experience, traveling to client sites for meetings and user training sessions, supporting system users in multiple countries via telephone and email, training new staff on Suvoda products and processes, and performing other related duties as required.
Requirements:
— At least 2 years of experience in a similar role
— Bachelor's degree required
— Interpersonal and communication skills
— Time management and organizational skills
— Analytical thinking
— Ability to understand technical systems and perform troubleshooting
— Creative problem solving
— Attention to detail
Zexter is an ambitious product company building its own technological ecosystem in the iGaming industry. They develop a proprietary platform that is live and actively operating, continuously expanding their product portfolio to adapt quickly to market demands and introduce new innovations.
Requirements:
— 4+ years of commercial backend development experience with Node.js and TypeScript.
— 4+ years of hands-on production experience with PostgreSQL and other relational databases.
— Strong SQL expertise including query optimization for high-load systems, index design and performance analysis, transaction management and concurrency control, and identifying and resolving database performance bottlenecks.
— 3+ years of commercial experience with NestJS.
— Excellent understanding of Dependency Injection, modular application architecture, Clean Architecture and software design principles, REST API design, and backend service architecture.
— Experience developing and maintaining high-load production systems.
— Solid experience with automated testing (unit/component and integration tests).
— Experience with load and performance testing, including bottleneck identification and validating system behavior under heavy traffic.
— Experience working on systems where financial accuracy, idempotency, transaction consistency, and auditability are critical.
— Ability to write clean, maintainable, testable, and well-structured code.
— Strong ownership mindset, taking responsibility for features from implementation and testing through deployment, monitoring, and production incident resolution.
— Strong communication skills to clearly explain technical decisions, implementation details, and associated risks.
— Ability to work effectively under deadlines and independently prioritize tasks.
— Experience with code reviews, debugging, logging, monitoring, and production incident investigation.
iGaming Experience:
— Commercial experience in the iGaming industry.
— Experience developing or maintaining backend systems for online casinos, sports betting, gaming platforms, wallets, payment systems, or transaction processing.
— Experience integrating third-party game providers, payment gateways, or other external services.
— Ability to investigate and resolve discrepancies in financial data, transactions, and provider integrations.
— Strong understanding of reliability, security, and data consistency requirements of production iGaming systems.
Nice to Have:
— Practical experience using AI-powered developer assistants (Cursor, Claude, or similar).
— Experience with Redis, message queues, background jobs, and event-driven architecture.
— Experience with Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure.
Conditions:
— Work format: Fully remote.
— Compensation: Negotiable based on experience.
— Growth: Opportunity to work with a modern technology stack, a strong engineering team, minimal bureaucracy, and AI-powered development tools that help eliminate routine work.
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. They blend cutting-edge technology with five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. The company is profitable, fast-growing, with $43M raised and over $100M in annual revenue, recently launched in New York City, and expanding rapidly across the US and EMEA.
Responsibilities:
— Work on privacy-focused systems and architecture that keep users' location data inaccessible, even to the company.
— Work across the stack using React, TypeScript, and Node.js or Golang to deliver high-quality solutions.
— Collaborate closely with Product Managers, Designers, and Software Engineers to shape technical solutions from concept through production.
Requirements:
— 3+ years of experience as a Full-Stack or Frontend Engineer with backend experience.
— Commercial experience with Node.js; Golang is a plus.
— Strong frontend development experience with TypeScript, React, React Query, Redux or alternative state management libraries like MobX.
— Solid understanding of HTML, CSS, JavaScript, and modern browser APIs.
— Familiarity with modern frontend tooling such as Vite/Webpack, ESLint, and package managers like npm or pnpm.
— Experience with automated testing including end-to-end tests (Playwright, Selenium), UI/Component tests (e.g. Jest), or snapshot tests.
— STEM (technical) degree.
Current stack includes Go microservices, Ruby monolith, Node.js, TypeScript, React, React Query, Vite, MongoDB, PostgreSQL, RabbitMQ, GRPC, Thrift, Redis, AWS, Terraform, Kubernetes.
Conditions:
— Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice.
— Salary £81,000 – £99,000 depending on experience.
— Employee stock options plan.
— Private medical and dental insurance.
— Life and critical illness cover.
— Latest-generation MacBook Pro and 4k display.
— Monthly credit towards Wheely journeys.
— Cycle to Work scheme.
— Professional development stipend.
— Relocation support including visa sponsorship and allowance.
ГибридseniorLondon
81 000 – 99 000 GBP
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Responsibilities
Underwriting Framework and Credit Policy:
— Design the fund's underwriting framework from scratch: credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
— Build the data edge into the process: integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring:
— Lead the underwriting of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
— Structure facilities: term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
— Draft and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance:
— Stand up and run the credit committee process: present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
— Establish portfolio monitoring: watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support:
— Be the credit face of the fund: appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
— Support capital formation: help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building:
— Codify the credit playbook: standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
— Build the bench: as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience:
— 7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
— Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred.
— Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
— A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies:
— Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
— The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
— Enjoys mentoring junior team members and building a strong credit culture as the team grows.
— Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials:
— A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
Benefits:
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap for each employee.
— Professional development through training and educational opportunities.
— Supportive environment prioritizing physical, mental, and emotional well-being of employees and their families.
TTil-Qazyna National Scientific and Practical Center
About Us & The Team
Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models.
We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning.
Key Responsibilities
• LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT).
• NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers.
• Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation.
• Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX).
Requirements
• 1+ years of hands-on experience as NLP / AI / Machine Learning engineer.
• Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization.
• Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn.
• Experience building data preprocessing pipelines and working with structured/unstructured text data.
• Practical knowledge of Docker, Linux, and Git.
• Degree in Computer Science, Data Science, Applied Mathematics.
Nice to Have
• Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ).
• Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS).
• Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language.
• Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation.
What We Offer
• Direct impact on sovereign AI development and language technology used at scale.
• Official employment in full compliance with the Labor Code of the Republic of Kazakhstan.
• Access to high-performance GPU compute clusters for model training and experimentation.
Задачи:
— Руководить техническим направлением и архитектурой frontend веб dApp 1inch с акцентом на безопасность.
— Разрабатывать production-код для критически важных функций, сложных Web3 пользовательских сценариев и областей с высокой нагрузкой.
— Проектировать и улучшать безопасные интеграции с backend-сервисами, blockchain API, провайдерами кошельков, процессами подписания, одобрений, свопов и управления жизненным циклом транзакций.
— Устанавливать и поддерживать инженерные стандарты безопасности, производительности, доступности, тестирования и качества кода.
— Внедрять практики secure-by-design и повышать надежность функционала, связанного с кошельками.
— Наставлять frontend-инженеров через техническое руководство, код-ревью, найм, адаптацию и развитие.
— Продвигать использование AI-поддерживаемых инженерных практик при сохранении высокого качества, безопасности и поддерживаемости кода.
— Сотрудничать с командами продукта, дизайна, backend, мобильной разработки, QA и аналитики для создания масштабируемых и надежных функций и улучшения долгосрочного состояния платформы.
Требования:
— Опыт профессиональной frontend или full-stack разработки от 6 лет, включая опыт на старших или технических руководящих позициях.
— Глубокие знания TypeScript и Angular, опыт создания, выпуска и поддержки крупных или сложных production веб-приложений.
— Понимание архитектуры frontend, управления состоянием, паттернов проектирования приложений и оптимизации производительности.
— Опыт интеграции REST и Web3 API в production, включая провайдеров кошельков, процессы подписания, мультичейн пользовательские сценарии и библиотеки ethers.js, viem или web3.js.
— Практический опыт работы с Cursor AI или аналогичными AI-ориентированными инженерными средами.
— Опыт применения практик безопасной разработки, моделирования угроз и безопасной обработки чувствительных пользовательских и кошельковых данных в production.
— Опыт работы с Git, CI/CD пайплайнами, процессами совместного код-ревью и AI-поддерживаемыми инженерными рабочими процессами с контролем качества.
— Опыт наставничества инженеров, повышения инженерных стандартов и эффективного общения с техническими и нетехническими заинтересованными сторонами.
— Сильное чувство ответственности и навыки решения проблем.
Будет плюсом:
— Опыт работы с Nx монорепозиториями, Angular SSR, feature flags или продуктовой аналитикой.
— Опыт AI-поддерживаемого код-ревью, тестирования или автоматизации безопасности в CI.
Компания 1inch является работодателем с равными возможностями и использует AI-инструменты для помощи в обработке заявок, но решения принимаются людьми.
About the company Join FxPro: a leading international fintech company with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro has over 600 employees from 50 nationalities.
As a Senior Business Analyst, you will work on systems responsible for order processing and execution within the CFD Forex Exchange domain. Your role includes designing and refining pricing flows for traders and internal products, ensuring seamless integration and efficiency. You will collaborate with users and integrated systems, gather requirements, analyze workflows, and contribute to optimizing trading operations. You will influence key decision-making processes in order execution, pricing strategies, and system interoperability.
Requirements and Responsibilities:
— 3+ years of experience as a Business Analyst
— Collect and analyze requirements from stakeholders, ensuring alignment with business objectives and technical constraints
— Translate business requirements into clear, actionable tasks for development teams with thorough documentation
— Solid understanding of the Software Development Lifecycle (SDLC)
— Collaborate effectively across Product, Design, Development, and QA teams throughout the task lifecycle
— Strong time management skills to plan workloads and meet deadlines
— Quick onboarding into new domains and adaptability to changing environments
— Proficiency in creating visual representations of requirements using Unified Modelling Language (UML) and Business Process Model and Notation (BPMN)
— Experienced in writing and refining User Stories, Use Cases, and Sequence Diagrams
— Proficient in English, both written and verbal
Nice to have:
— Background in fintech, especially CFD trading
— Familiarity with API types: REST API, WebSockets, gRPC, FIX Protocol
— Experience with message queues and brokers: Kafka, RabbitMQ, Solace
— Experience with CI/CD processes and their role in software development
Interview steps:
— Recruiter screen (~30 minutes)
— Technical Interview (~60 minutes)
— Final Interview with managers (~60 minutes)
Benefits:
— Excellent compensation package
— Medical insurance
— Provident fund
— In-house gym with a personal trainer
— Free daily lunch catering, snacks, and beverages
— Company discount card for various products & services
— 21 days of annual leave and 10 days of sick leave annually
— Shuttle bus service from Limassol
— Birthday gift
— Relocation bonus and visa/work permit support
Задачи:
— Определять и вести стратегическое направление продукта SIFA от MVP до ключевого продукта портфеля, включая стратегию инвестиционных этапов, подготовку доказательной базы для внешнего рандомизированного контролируемого исследования (RCT) и проверку модели CPY с учётом стоимости на 100,000 молодых пользователей.
— Обеспечивать, чтобы каждое решение на этапах развития продукта основывалось на доказательствах, а не на инерции, и чтобы AI-слой коучинга SIFA был разработан с достаточной строгостью для поддержки общей стратегии портфеля.
— Вести стратегию продукта SIFA в рамках направления, проблем и приоритетов, установленных руководителем бизнес-единицы, включая стратегию инвестиционных этапов, решения на следующих этапах и инвестиционные меморандумы, неся полную ответственность за качество представленных доказательств, анализа и рекомендаций.
— Поддерживать активное согласование с руководителем бизнес-единицы по направлению продукта, стратегии плательщиков и организационным приоритетам; проактивно выявлять стратегические последствия и компромиссы.
— Руководить ретритами и квартальными планированиями в рамках OKR подразделения и организационной стратегии; устанавливать OKR, отражающие как продуктовые доказательства, так и организационные приоритеты.
— Вести и развивать ключевые стратегические документы SIFA: ценностное предложение, теория изменений, lean canvas, пользовательские персоны (включая "Monica"), карту навыков, критерии выпуска, реестр рисков продукта и дорожную карту продукта.
— Отвечать за стратегию обучения (LX) SIFA, обеспечивать, чтобы ежедневный ритм коучинга был основан на стратегических целях и приводил к измеримым изменениям поведения.
— Отвечать за стратегии гендерного равенства и защиты в соответствии с организационными стандартами.
— Управлять бюджетом стратегии продукта и инвестиционным кейсом, проводить обзоры BvA, принимать решения по эффективности затрат с учётом модели продукта.
— Обеспечивать актуальность и использование продуктовой панели с ключевыми метриками для стратегических решений.
— Определять и вести учебную повестку SIFA, устанавливая стандарты доказательств для каждого этапа, включая внешние исследования и качественные методы.
— Сотрудничать с командой оценки для разработки и контроля плана оценки, включая пилоты, эксперименты и мониторинг вовлечённости.
— Отвечать за целостность и полезность данных продукта, интегрируя внешние исследования, результаты оценок, обратную связь пользователей и операционные сигналы.
— Управлять полным набором продуктов SIFA: LX-потоки, WhatsApp и Webapp, систему баллов, микро-действия, дизайн онбординга и активации, сценарии коучинга, инструментарий бизнес-консультанта и печатные материалы.
— Определять стратегию контроля качества, оценивать качество и обеспечивать обратную связь для дизайна и учебной повестки.
— Валидировать решения дизайна с учётом ограничений CPY и модели доставки, эскалировать компромиссы, превышающие ограничения.
— Поддерживать структурированную обратную связь с руководителем внедрения для мониторинга соответствия коучингового опыта проекту.
— Управлять отношениями с технологическими и оценочными партнёрами, сетями бизнес-консультантов и каналами набора, а также потенциальными плательщиками.
— Решать межпродуктовые и межфункциональные компромиссы, обеспечивать понимание и согласование роли продукта в портфеле.
— Вовлекать ключевых заинтересованных лиц, включая молодежь, бизнес-консультантов, лидеров подразделений и функциональных партнёров, в установку и валидацию направления продукта.
— Поддерживать активное согласование с руководителем бизнес-единицы и управлять коммуникациями вверх, вниз и по горизонтали.
— Представлять продукт на организационных и лидерских форумах, обеспечивать ответственность за продукт при изменении приоритетов.
Требования:
— Опыт более 10 лет в управлении продуктами, лидерстве в продукте или смежных ролях с доказанным опытом формирования стратегического направления в сложных или мультипродуктовых портфелях.
— Опыт ведения продуктов от определения стратегических гипотез и моделей воздействия до построения бизнес-кейсов, финансовых прогнозов, получения одобрения руководства и корректировки стратегии на основе результатов.
— Уверенность в принятии решений в условиях неопределённости и ответственность за результаты и обучение.
— Глубокие знания lean startup, design thinking и agile-разработки продуктов, умение устанавливать высокие стандарты и обучать команды их соблюдению.
— Опыт управления и развития старших продуктовых специалистов, создание культуры ответственности, непрерывного обучения и экспериментов.
— Высокие аналитические способности, умение синтезировать качественные и количественные данные, финансовый анализ и результаты оценок для принятия стратегических решений.
— Навыки выстраивания согласованности между продуктами, командами и старшими заинтересованными сторонами, включая взаимодействие с управляющими директорами, руководящими командами, инвесторами и внешними партнёрами.
— Отличные коммуникативные навыки для объяснения сложной продуктовой стратегии и результатов как технической, так и нетехнической аудитории.
— Эмпатия и любознательность, понимание реалий и вызовов уязвимых и маргинализованных сообществ.
— Страсть к созданию трансформационных возможностей для молодежи, интерес к средам с фокусом на непрерывное улучшение, инновации и обучение.
— Интерес к созданию и масштабированию цифровых продуктов для молодежи с низким доходом или неучащейся в странах Африки к югу от Сахары, особенно через мобильные каналы WhatsApp, SMS и веб-приложения.
— Опыт или интерес к AI-коучингу, дизайну изменения поведения, программам по средствам к существованию, разработке продуктов на основе доказательств, включая RCT, измерение воздействия и отчётность перед инвесторами.
— Понимание или желание изучать микро-предпринимательство и реалии неформального сектора Восточной Африки, ориентированность на пользователя.
Условия:
— Работа в миссионерской среде с поддерживающей командой.
— Гибкость: полностью удалённая или гибридная работа (в зависимости от локации).
— Конкурентная зарплата и социальные гарантии в зависимости от локации.
— Возможности обучения и развития.
— Контракт с фиксированным сроком с возможностью продления по результатам работы.
— Предпочтительное расположение: удалённо, предпочтительно Восточная Африка.
Description
We are looking for a highly motivated Backend Engineer to join our team from anywhere in the World. There are a lot of opportunities for you to influence our direction, both on the product and technical side. As a senior engineer on the team, we’d look to you to help shape our future direction.
Duties
— Data architecture, data modeling, and data infrastructure ecosystem.
— Design, build, and maintenance of data processing pipelines.
— Design, build and maintain micro-service architecture.
— Balance speed and quality, with a focus on tangible results.
— Actively participate in establishing the underlying technology for the company.
Musts
— 3+ years of experience crafting high-quality solutions in professional environments
— Hands-on experience implementing and maintaining scalable, highly available, high-load systems
— Proficiency in any backend programming language and willingness to learn
— Sharp analytical skills
— Attention to details
— Deep understanding of technology
— Ability to handle multiple projects, tasks, and people in a fast-paced environment
— Flexible and focussed on finding a balanced solutions
— Excellent English skills.
Benefits
— Flexible working hours
— Work with professionals of your field
— Multicultural and diverse environment
— Free parking
— Learning budget
— Sports and leisure
— Possibility to work remotely
Responsibilities
AI-Assisted Prototyping & Vibe Coding
— Build interactive prototypes and design explorations using AI coding tools (Claude Code, Cursor, v0, Framer, or similar), using code as the primary creative tool.
— Design and prototype AI-assisted product solutions (agents, copilots, generation and automation tools) together with product and engineering teams.
— Build and iterate prompt → flow → result pipelines; contribute reusable prompt patterns and workflow libraries.
— Use no-/low-code tools (Webflow, Retool, Zapier) to reduce dependency on core engineering.
— Move prototypes to production in close collaboration with engineers, ensuring smooth handoff and feasibility.
UI/UX Design
— Turn ideas into clear UX flows, wireframes, and high-fidelity mock-ups in Figma when needed.
— Apply strong visual and interaction design skills including hierarchy, clarity, motion, and micro-interactions.
— Create partner-facing materials such as product presentations, landing pages, one-pagers, and infographics for go-to-market and integrations.
Discovery, Research & Experimentation
— Contribute to discovery activities: interviews, JTBD, surveys, CJMs, translating insights into product decisions.
— Validate solutions and hypotheses through quick tests and experiments.
— Collaborate with analytics to define success metrics and interpret experiment results.
Monetization UX
— Translate monetization and growth ideas into concrete prototypes, UX changes, and experiments.
— Design and iterate flows for D2C, in-app/F2P, and LiveOps scenarios (shops, offers, bundles, events).
Bridge Business ↔ Design ↔ Tech
— Translate business problems and partner needs into clear artifacts: flows, specs, clickable prototypes, and simple documentation.
— Work closely with engineers to ensure feasibility and smooth transition from prototype to production.
— Contribute to internal standards for AI-assisted workflows, UX quality, and visual consistency (without direct people-management).
Qualifications & Skills
— 5–7+ years in product design, UX/UI, or hybrid design-engineering roles.
— Hands-on experience with AI coding tools (Claude Code, Cursor, v0, or similar) for building and prototyping.
— Passion for vibe coding and AI-assisted prototyping.
— Proficiency in Figma for UX flows, wireframes, and high-fidelity design.
— Proven AI production experience: building prompt and workflow pipelines, shipping automated or AI-assisted flows.
— Strong UI skills: visual clarity, hierarchy, attention to detail, polished prototypes.
— Strong UX thinking: flows, structure, consistency, edge cases, designing connected product experiences.
— Research skills: discovery (interviews, JTBD, CJM), usability tests, surveys.
— Analytics & experiments: framing hypotheses, reading A/B-test results, linking UX changes to business metrics.
— Strong English communication skills.
Nice to Have
— Experience designing and shipping D2C and F2P/in-app monetization experiences.
— Experience in gaming industry or with game developers/publishers.
— Ability to write functional front-end code (HTML/CSS/JS/React) to build prototypes independently.
— Deep craft in interaction design, motion, design systems; experience with design systems.
— Broad understanding of modern product architecture (APIs, client–server, microservices, cloud).
— Experience with no-code/low-code tools (Webflow, Retool, Zapier).
— Experience in fast-paced startup or scale-up environments.
— Familiarity with growth design principles (conversion optimization, funnel analysis, pricing presentation).
— Additional language skills relevant to key markets (e.g. Russian, Malay, Chinese).
Salary
$65,000 - $80,000 a year
Benefits
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap.
— Professional development through training and educational opportunities.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer committed to diversity and inclusion.
Criminal History Consideration
Background check including criminal history, employment and education verification due to role responsibilities.
Rights Under the Fair Chance Act
Applicants encouraged to inquire about their rights; contact careers@xsolla.com for questions.
Use of AI tools in hiring process with final decisions made by humans.
Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us!
Задачи:
— Design, build, and maintain streaming pipelines.
— Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
— Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
— Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
— Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
— Maintain infrastructure as code (Terraform) for ingestion and processing resources.
— Monitor pipelines, troubleshoot, and resolve incidents.
— Contribute to our ongoing work on safe data access for AI agents and tooling.
— Continuously improve ingestion architecture, tooling, and engineering practices.
Требования:
— 5+ years of commercial Python experience in a backend or data engineering role.
— Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
— Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
— Experience building streaming pipelines (Kinesis, SQS, or equivalents).
— Experience with infrastructure as code (Terraform or equivalents).
— Working knowledge of SQL: ability to read and write queries, including joins and window functions.
— Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
— Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
— Operational mindset: comfortable owning production systems and monitoring them.
— Ability to make architectural decisions independently and review the work of teammates.
Желательно:
— Strong SQL and data modeling skills.
— Experience with Snowflake and dbt.
— Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
— Experience working with analytics and product teams as a data provider.
— Experience working with sensitive or regulated data.
Условия:
— Open-minded teams, a welcoming and inclusive company culture.
— Competitive salary package based on expertise, skillset, and impact plus stock options.
— In-office, remote and hybrid work opportunities.
— Equipment needed for productivity.
— Premium SIMPLE subscription.
— 21 days annual leave plus bank holidays.
— Flexible hours focusing on results, not desk time.
О компании и ценностях:
— Data-driven decision making.
— Focus on impact and speed.
— Ownership and responsibility.
— Encouragement to push limits and innovate.
— Team accountability and collaboration.
Задачи:
— разрабатывать backend-сервисы платформы на Python и развивать существующие компоненты
— проектировать и реализовывать API и интеграции с внешними системами и инфраструктурными компонентами
— разрабатывать интерфейсы и коннекторы для подключения к платформе LLM, инструментов (tools), баз знаний, внешней памяти и RAG-компонентов
— строить и поддерживать пайплайны оценки качества агентов (evals, LLM-as-a-judge)
— использовать AI-инструменты для ускорения разработки и валидировать их решения — через ревью, тесты и проверку на соответствие требованиям
— участвовать в проектировании архитектуры сервисов, ревью кода и разборе инцидентов
Требования:
— опыт промышленной разработки на Python от 3 лет
— практический опыт разработки кода с ИИ-агентами: Codex, Gemini, Claude Code, Qwen Code или аналоги
— сильные навыки system design: умение спроектировать сервис целиком, выбрать паттерны взаимодействия компонентов и обосновать архитектурные trade-off-ы
— умение декомпозировать крупную задачу на части, годные для постановки агенту
— умение критически оценивать и валидировать решения, сгенерированные AI-агентами: находить ошибки, проверять корректность и границы применимости
— опыт разработки веб-сервисов и API на FastAPI, Flask или аналогах
— уверенное знание SQL и навыки проектирования реляционных схем данных
— опыт работы с Docker, Kubernetes или OpenShift
Условия:
— комфортный, современный офис м. Кутузовская
— возможность выбрать удобный график – офис/гибрид
— ежегодный пересмотр зарплаты, годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— программа адаптации и помощь руководителя на старте (для Junior позиций)
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— льготная ипотека для каждого сотрудника
— бесплатная подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера
— отсутствие строгого дресс-кода
Responsibilities:
• Own the product roadmap, prioritize features, and turn customer, market, and data insights into requirements.
• Partner with engineering, design, and AI/ML teams from discovery through launch and iteration.
• Define KPIs, conduct user research, and validate assumptions through experiments and feedback.
Requirements:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Product Management experience, ideally with SaaS or AI/ML products.
• Strong analytical, organizational, communication, and cross-functional collaboration skills.
About the company
We are building business-focused media across popular social platforms.
Responsibilities
— Conduct research in English: find relevant information, organize it clearly, and draw conclusions from it;
— Find, evaluate, and implement new tools and services;
— Work with social media platforms: publish content and analyze performance metrics;
— Source freelancers, including video editors, designers, lawyers, and other specialists;
— Assign tasks to our English-speaking team and oversee the quality of their work;
— Improve existing workflows and guidelines, and create new ones when needed.
Requirements
— You must be based outside Russia;
— At least 2 years of experience as a business assistant, business analyst, product or project manager;
— English proficiency at C1 level or above, with the ability to communicate confidently with English-speaking freelancers and research and analyze information from English-language sources;
— Ability to independently figure out new tools and processes.
What we offer
— Full-time;
— Fully remote work;
— Payment terms will be agreed upon with the successful candidate.
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Veeva Systems is building the industry cloud for Life Sciences to help companies work in a more efficient and connected way. Consulting is changing, and Veeva Business Consulting was launched in 2019 and has grown quickly to a global organization of over 400 people. The team focuses on making the Life Sciences industry more efficient and effective through software, data, and consulting working together. The company expects significant growth in Business Consulting towards 2030 and is looking for great people to make it happen.
The Role:
We are hiring high potential people who are early in their careers and want to pivot into Life Sciences Consulting through our Master Class Program. This program is designed as an entry path to shape experienced professionals as Business Consultants capable of making an impact for the Life Sciences industry. Early in the program, you will own key workstreams on customer-facing engagements to create high-impact business solutions while collaborating with team members at all levels of Veeva. You will be given tools and resources to accelerate your consulting skills development.
Our Business Consulting team builds effective business and operational improvement strategies powered by Veeva’s unique industry insights and market-leading technology. Our offerings focus on speeding drug development, launching treatments more effectively, and shaping the best engagement for our customers.
Requirements:
Candidates should be graduating with an advanced degree or have 3-5 years of industry experience and be excited to pivot their career into consulting for a critical industry.
The anticipated start date is April 2027.
Work format: remote.
When applying, please indicate that you found the vacancy on Remocate.
Responsibilities:
— Developing applications for web and mobile using React Native;
— Writing and supporting components with strict types, documentation, and tests;
— Creating scalable and reusable components with smooth 60fps animations for both mobile and web platforms;
— Working with real-time high-rate and high-throughput data flow ensuring performance on low-end devices;
— Developing shared components codebase usable across web and native platforms.
Requirements:
— 3+ years hands-on frontend coding experience;
— Strong knowledge of React, React Native, and TypeScript;
— Strong user experience design skills and attention to detail in UX interface design;
— Experience with responsive design, media queries, resolution independent image display, and delivering functionality across devices and platforms;
— Experience building large-scale web and mobile applications;
— Comfortable with Agile methodologies including Scrum and Kanban;
— Native or fluent English.
Nice to have:
— Experience in financial sector (brokers, banks, investment projects, crypto-exchangers);
— Fluent English.
Bonuses:
— Flexible holidays: 5/2 all year round, 30 working days vacation per year;
— Opportunities for professional development and career growth;
— Corporate English classes;
— Legalization (work permit) for candidate and family in Montenegro;
— Assistance in relocation;
— Ability to work remotely.
Responsibilities:
— Developing applications for web and mobile using React Native;
— Writing and supporting components with strict types, documentation, and tests;
— Creating scalable and reusable components with smooth 60fps animations for both mobile and web platforms;
— Working with real-time high-rate and high-throughput data flow ensuring performance on low-end devices;
— Developing shared components codebase usable across web and native platforms.
Requirements:
— 3+ years hands-on frontend coding experience;
— Strong knowledge of React, React Native, and TypeScript;
— Strong user experience design skills and attention to detail in UX interface design;
— Experience with responsive design, media queries, resolution independent image display, and delivering functionality across devices and platforms;
— Experience building large-scale web and mobile applications;
— Comfortable with Agile methodologies including Scrum and Kanban;
— Native or fluent English.
Nice to have:
— Experience in financial sector (brokers, banks, investment projects, crypto-exchangers);
— Fluent English.
Bonuses:
— Flexible holidays: 5/2 all year round, 30 working days vacation per year;
— Opportunities for professional development and career growth;
— Corporate English classes;
— Legalization (work permit) for candidate and family in Montenegro;
— Assistance in relocation;
— Ability to work remotely.
ГибридMontenegro
Зарплата не указана
Удалённоhead
Зарплата не указана
Удалённо
Зарплата не указана
Удалённо
65 000 – 80 000 $
Удалённоsenior
Зарплата не указана
ГибридleadLondon
Зарплата не указана
Все вакансии в одном месте — страница 41 · Job Hunters
