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Location: Aberdeen, United Kingdom Location: Aberdeen Start Dates : Wednesday 10 June & Thursday 11 June 2026 Duration: 3 days this week + 3 days next week (dates TBC) We are currently recruiting Rope Access Technicians for a short-term project in Aberdeen involving the removal of wastewater from void spaces. Requirements IRATA Rope Access Level 1 or 2 Full GWO Certification DONUT Training Confined Space Awareness Priority will be given to candidates who: Hold Medium or High-Risk Confined Space Entry certification Are based locally to Aberdeen Project Scope The project involves the removal of wastewater from void spaces, working within an industrial environment under strict safety procedures. Benefits Opportunity to work on a range of offshore subsea inspection projects. Collaborate with a team of industry experts. Opportunity to make a significant impact on safety and quality standards.

Location: Dubai, United Arab Emirates Workplace: on-site Role Overview We are seeking a highly motivated and ambitious Junior Business Development Executive to support our growth initiatives in Dubai. This role is ideal for a recent graduate or early-career sales professional eager to learn the ropes of real estate business development and progress toward becoming a full-cycle closer. Key Responsibilities Engage with pre-qualified leads to drive interest and schedule appointments. Assist in property inspections and participate in client meetings alongside senior team members. Shadow experienced managers and team leaders during deal closings to understand the end-to-end sales process. Coordinate with the operations team to support documentation and logistical requirements. Take on increasing responsibilities in deal closures based on demonstrated performance and learning progress. Requirements Bachelor’s degree in Business, Marketing, Real Estate, or a related field (fresh graduates welcome). 0–2 years of experience in sales, business development, or client-facing roles (internships or part-time roles count). Strong interpersonal and verbal communication skills. Confidence in presenting to clients and building relationships. Basic understanding of CRM systems (e.g., HubSpot, Salesforce) is a plus. Passion for real estate, sales, and learning the full sales cycle. Highly organized with good time management skills. Fluent in English and Arabic (spoken and written); Russian is a plus. A valid UAE driving license is a plus but not mandatory. Key Performance Indicators (KPIs) Number of client meetings and property inspections supported. Conversion leads to proposal and contract stages. Timely updates and responsiveness within the CRM system.

Location: Dammam, Saudi Arabia PIPECARE Group is looking for an experienced Rigger Level 1 to join our team in Dammam, Saudi Arabia. By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 25 years. Industry/sector: Oil & Gas / In Line Inspection services. Rigger Level 1 is responsible for planning, supervising, and executing all rigging and lifting activities safely and efficiently. The role ensures that lifting operations are carried out in compliance with company procedures, client requirements, and applicable safety standards. Key Responsibilities & Authorities Perform and supervise all rigging and lifting activities in accordance with approved lifting plans and safety procedures. Inspect slings, shackles, hooks, chains, wire ropes, spreader beams, and other lifting equipment before use. Ensure all lifting gear is properly certified, tagged, and fit for purpose. Determine load weights, center of gravity, and suitable lifting points before lifting operations. Coordinate with crane operators, supervisors, and lifting teams to ensure safe execution of lifting activities. Direct crane movements using approved hand signals and communication methods. Ensure loads are properly secured, balanced, and controlled during lifting operations. Conduct pre-lift inspections and participate in toolbox talks and risk assessments. Monitor lifting operations and stop any activity that presents a safety risk. Report damaged or defective lifting equipment and remove it from service. Maintain lifting equipment records and inspection logs. Assist in loading, unloading, positioning, and installation of equipment and materials. Guide and mentor junior riggers. Report incidents, near misses, unsafe conditions, and operational issues to the supervisor. Following team leader instruction all the time during the activities. Need to submit all lifting plans prior to each activity. Always available to meet the Client schedule. Train other employees when and as required by other team members as per Management. Always notify the line manager for sick leave or annual vacation. Need to attend multiple activities in given single day. Requirements High School Diploma or equivalent. Valid Saudi Aramco Rigger Level 1 certification. Minimum 5 years of experience in rigging and critical lifting operations. Knowledge of lifting equipment, rigging techniques, and load calculations. Ability to read and interpret lifting plans and rigging drawings. Good communication skills in English. Strong understanding of HSE requirements and lifting regulations. Saudi Aramco work experience. Work experience in Hydrocarbon facilities. Must have valid Driving License of KSA.

💎2+ года опыта управления командой разработки с полной ответственностью за результат и своевременный релиз продукта, опыт в геймдеве, Fluent English&Russian.

Location: Москва Команда управления развития искусственного интеллекта (блок «Развитие клиентского опыта B2C») ищет NLP/LLM-инженера для развития AI-copilot премиальных клиентских менеджеров. Мы переходим от классических NLP-решений к адаптивным мультиагентным системам, способным самостоятельно решать задачи в контуре бизнеса: поиск по базе знаний, суммаризация профиля, извлечение инсайтов из звонков, управление графиком, проактивные подсказки на звонке. Ищем Senior-инженера, который возьмет на себя архитектурную ответственность за решения с LLM под капотом, выстроит процессы оценки качества и будет писать чистый, поддерживаемый код, готовый к интеграции в продакшн выделенной бэкенд-командой. Обязанности * архитектура и разработка: проектировать и реализовывать end-to-end LLM-пайплайны, включая продвинутые RAG-системы и автономных AI-агентов с использованием планирования, function calling и мультиагентной оркестрации * дообучение и адаптация: SFT/RLHF/DPO, LoRA/QLoRA под специфичные бизнес-задачи. Принимать решения о том, когда дообучение необходимо, а когда достаточно промпт-инжиниринга или RAG * система оценки (Eval): поддерживать культуру качества, внедряя продуктовые и ML-метрики (RAGAS, DeepEval, кастомные LLM-as-a-Judge), автоматизировать регрессионное тестирование, связывать технические метрики с бизнес метриками * качество кода и интеграция: писать чистый, хорошо документированный и тестируемый python-код, который легко интегрируется и поддерживается бэкенд командой. Формировать стандарты разработки в рамках DS экспериментов и проектировать API-контракты для ML-компонент * менторство и влияние: участвовать в код-ревью, формировать технические стандарты команды, декомпозировать бизнес-задачи и предлагать оптимальные ML-решения. Работать напрямую с продуктом и стейкхолдерами. Требования * опыт в DL/NLP от 4 лет включая обучение/дообучение моделей на PyTorch, из них не менее года практического опыта с LLM * практический опыт построения AI-агентов и LLM-пайплайнов с использованием LangChain/LangGraph * глубокое понимание архитектуры современных LLM, включая механизмы attention, MoE, RoPE, KV-cache, методы alignment (RLHF/DPO), принципы эффективного инференса * сильная инженерная культура: Python (asyncio, pydantic, fastapi), написание чистого тестируемого кода (pytest), опыт разработки асинхронных микросервисов. Понимание Docker/K8s, CI/CD для ML * оценка и мониторинг: уверенное владение инструментами LLMOps (Arize, LangSmith, W&B, Phoenix). Опыт создания кастомных eval-пайплайнов и понимания того, как метрики влияют на продукт * работа с данными: опыт предобработки сложных данных для подготовки датасетов, знание SQL * автономность и коммуникация: Умение переводить неопределённые бизнес-задачи в технический план, аргументированно отстаивать архитектурные решения, работать без микроменеджмента. будет плюсом: * опыт опромышливания AI-агентов и знание принципов LLMOps, включая CI/CD, оркестрацию и управление версиями промптов * опыт интеграции ML-решений в высоконагруженные системы * понимание безопасности LLM-приложений. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы после испытательного срока * 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 * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы — core-команда, которая отвечает за ML для понимания аудио во всем Сбере. За последний год мы выложили в open source SOTA-модель для распознавания речи на русском языке — **GigaAM**, а прошлой весной первыми в России запустили **нативное понимание звука в LLM — GigaChat Audio**. Сейчас мы активно улучшаем мультимодальные возможности GigaChat: работаем над качеством на сложных аудио- и визуальных контекстах и учим модель понимать видео не только по звуковому потоку, но и по кадрам. **Цель** — совместное обучение на vision+audio и video+audio диалогах длительностью 90+ минут. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Проводить эксперименты по обучению Vision / Audio / Video LLM: данные, стадии обучения, способы смешивания модальностей * Оптимизировать ML-инфраструктуру для обучения на длинных мультимодальных контекстах * Формулировать и проверять гипотезы о том, как улучшать качество LLM на видео. Требования * Сильный опыт в DL-инженерии, желательно в обучении LLM-моделей * Глубокое знание PyTorch, включая DDP / FSDP * Понимание distributed training и efficient deep learning: DP / TP / PP / EP / SP, mixed precision, checkpointing, offloading, профилирование и оптимизация обучения * Понимание архитектуры LLM: Transformer, attention (MHA / GQA / MLA), RoPE и другие позиционные эмбеддинги, long context, MoE * Уверенный Python на уровне production-кода: asyncio, multiprocessing, профилирование, отладка больших систем. **Будет плюсом:** * Опыт обучения мультимодальных LLM * Опыт снижения стоимости контекста при обработке видео * Опыт расширения контекста LLM * Понимание RL-подходов для обучения моделей: RLHF / RLVR, PPO / GRPO / DPO * Опыт построения бенчмарков с использованием LLM-as-a-judge. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы развиваем GigaChat и ищем сильного руководителя направления ML pretrain больших языковых моделей. Недавно мы обучили MoE-модель на 700 миллиардов параметров и не собираемся останавливаться — обучение идёт на кластерах H100 и B200, а pretrain является ядром самого быстрорастущего AI-проекта Сбера. Это роль для человека, который возьмёт на себя архитектурную часть pretrain: design моделей, законы масштабирования, выбор и адаптация attention / MoE / позиционных схем, а также все архитектурные решения, которые определяют, какой именно будет следующая флагманская модель GigaChat. Обязанности * развивать архитектуру моделей GigaChat * определять, как должна развиваться архитектура pretrain-моделей: какие направления наиболее важны, как измерять прогресс и что в первую очередь ограничивает рост качества модели * проектировать архитектуру флагманских моделей и отвечать за ключевые архитектурные решения: attention, позиционные схемы (RoPE и варианты), нормализации, активации, инициализация * развивать MoE-архитектуру: маршрутизация, балансировка экспертов, устойчивость маршрутизатора, влияние на качество и производительность * работать с long-context и мультимодальностью на уровне архитектуры: что именно нужно менять в модели, чтобы эти возможности работали стабильно * изучать и применять законы масштабирования * проводить scaling-эксперименты и на их основе принимать решения по размеру модели, ширине / глубине, числу и размеру экспертов, размерам батча и длительности обучения * предсказывать, как архитектурные изменения поведут себя при переходе с небольших абляций на полный масштаб * определять и развивать метрики, которые корректно отражают архитектурные изменения в обучении моделей * определять, в каких случаях архитектурные изменения действительно дают прирост качества по сравнению с более простыми baseline'ами, а в каких — нет * анализировать стабильность архитектурных решений * разбираться с нестабильностью на больших прогонах со стороны архитектуры: почему конкретная конфигурация расходится, где проявляются артефакты маршрутизации, коллапс энтропии, неустойчивости в attention * предлагать изменения в нормализациях, клиппинге, точности вычислений и структуре блоков, которые делают обучение более предсказуемым * обеспечивать безопасное масштабирование при внедрении крупных архитектурных изменений в основной трейн * писать ключевой код и оставаться сильным исследователем * самостоятельно писать и дорабатывать архитектурные компоненты и абляции. * Делать надёжные и воспроизводимые эксперименты: понятные версии данных, конфиги, сравнение запусков, контроль деградаций * читать статьи, воспроизводить ключевые результаты и адаптировать лучшие идеи под наши задачи и инфраструктуру * руководить сильной технической командой * руководить командой исследователей и инженеров, работающих над архитектурой, задавать высокую планку по качеству решений, скорости работы и глубине проработки * Паомогать команде превращать архитектурные идеи в работающие решения, которые можно встроить в основной цикл обучения * удерживать баланс между глубиной исследований, инженерной надёжностью и практическим результатом для модели. Требования * отличное владение Python и PyTorch * глубокое понимание устройства обучения нейросетей: не на уровне обзоров, а на уровне, где вы можете объяснить, почему конкретная архитектурная конфигурация расходится, глядя на кривые функции потерь, нормы градиентов и энтропии * глубокое понимание архитектуры LLM: Transformer, attention (MHA/GQA/MLA), RoPE и варианты позиционных эмбеддингов, нормализации, инициализации, long-context, MoE * практический опыт с обучением больших моделей (а не только инференсом) и проведением архитектурных абляций * способность самостоятельно взять направление и довести его до результата: от чтения статей и постановки гипотез до внедрения в основной трейн * умение ставить гипотезы, проектировать эксперименты и принимать решения на основе результатов * опыт руководства сильной технической командой и готовность лично писать важные части системы руками. Условия * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Проектировать и реализовывать end-to-end LLM-пайплайны, включая продвинутые RAG-системы и автономных AI-агентов (планирование, function calling, мультиагентная оркестрация) — Дообучение и адаптация: SFT/RLHF/DPO, LoRA/QLoRA под бизнес-задачи; решать, когда нужно дообучение, а когда достаточно промпт-инжиниринга или RAG — Поддерживать культуру качества: внедрять продуктовые и ML-метрики (RAGAS, DeepEval, LLM-as-a-Judge), автоматизировать регрессионное тестирование — Писать чистый, документированный и тестируемый python-код, проектировать API-контракты для ML-компонент — Участвовать в код-ревью, формировать технические стандарты команды, работать напрямую с продуктом и стейкхолдерами Требования: — Опыт в DL/NLP от 4 лет, включая обучение и дообучение моделей на PyTorch, из них не менее года практического опыта с LLM — Практический опыт построения AI-агентов и LLM-пайплайнов с использованием LangChain/LangGraph — Глубокое понимание архитектуры современных LLM: attention, MoE, RoPE, KV-cache, методы alignment (RLHF/DPO), принципы эффективного инференса — Сильная инженерная культура: Python (asyncio, pydantic, fastapi), чистый тестируемый код (pytest), асинхронные микросервисы; понимание Docker/K8s, CI/CD для ML — Оценка и мониторинг: уверенное владение инструментами LLMOps (Arize, LangSmith, W&B, Phoenix), опыт создания кастомных eval-пайплайнов — Работа с данными: опыт предобработки сложных данных для датасетов, знание SQL

Location: Karabatan, Kazakhstan We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivaled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. Main Responsibilities & Key Result Areas Follow and comply with all HSSE requirements and regulations. Ensure the work is performed safe and with due care of Company’s assets. Operate and inspect machines or heavy equipment to diagnose defects. Repair and replace damaged or worn parts. Dismantle and reassemble heavy equipment using hoists and hand tools. Clean, lubricate and perform other routine maintenance work on equipment and vehicles. Examine parts for damage or excessive wear using micrometers and gauges. Read, understand, and interpret operating manuals, parts manuals, blueprints, and technical drawings. Overhaul and test machines or equipment to ensure operating efficiency. Inspect, test, and listen to defective equipment to diagnose malfunctions using. Prepare equipment for RoK related inspection and arrange all required paperwork. Carry out fault diagnosis and route cause analysis on components after failure. Manage the team and ensure the working area is in good condition. Perform all other duties as required by Company’s Lifting Equipment Supervisor within the physical constraints of the job. Requirements BS in mechanical or electrical engineering or equivalent diploma. Minimum of ten (10) years’ experience. Working (i.e diagnosing/ troubleshooting) on lifting equipment and accessories. Familiar with testing mechanical products and equipment after repair or modification to ensure proper performance and compliance with manufacturer’s specifications. Has detailed knowledge of overhead crane maintenance, including crane rails, associated lifting equipment, hooks, ropes, motors, and engines, moving parts, trolleys, crane hydraulic system, crane electrical systems, limit switches etc. English proficiency in verbal and written communication, upper intermediate level. Benefits • Location – Karabatan, Atyrau, Kazakhstan of Republic • Work schedule -28/28 rotation

Задачи: — Владеть стеком обучения и архитектурой моделей для семейства Mellum LLM. — Делать обучение быстрее, дешевле и стабильнее в больших масштабах. — Профилировать, проектировать и внедрять изменения в pipeline обучения, включая архитектуру и кастомные GPU ядра. — Улучшать производительность end-to-end для multi-node LLM pre-training и post-training pipeline. — Профилировать узкие места (Nsight Systems/Compute, NVTX) и устранять их с помощью overlap вычислений и коммуникаций, fusion ядер, планирования и др. — Проектировать и оценивать архитектурные решения (глубина/ширина, варианты внимания, RoPE scaling/NTK, MoE маршрутизация и балансировка нагрузки). — Реализовывать кастомные операции (Triton и/или CUDA C++), интегрировать через PyTorch extensions и по возможности вносить upstream. — Оптимизировать память и производительность: FSDP/ZeRO, активационное чекпоинтинг, FP8/TE, параллелизм тензоров/пайплайнов/последовательностей/экспертов, настройка NCCL. — Обеспечивать устойчивость больших запусков: elastic и fault-tolerant training, надежный чекпоинтинг, воспроизводимость, устойчивость к прерыванию. — Поддерживать высокую скорость обработки данных с помощью стриминговых и шардированных загрузчиков данных и токенизаторов, улучшать пропускную способность и эффективность кэша. — Определять метрики, строить дашборды и обеспечивать постоянные улучшения. — Эффективно запускать pre-training и post-training (включая SFT, RLHF, GRPO) на больших кластерах. Требования: — Опыт работы с PyTorch и PyTorch Distributed, запуск multi-node задач с десятками и сотнями GPU. — Практический опыт с Megatron-LM/Megatron-Core/NeMo, DeepSpeed или глубокие знания FSDP/ZeRO. — Опыт профилирования (Nsight Systems/Compute, nvprof) и работы с NVTX-инструментированными workflow. — Навыки программирования GPU с Triton и/или CUDA, умение писать, тестировать и отлаживать ядра. — Хорошее понимание NCCL collectives, топологии и эффектов fabric (IB/RoCE) и их проявлений в трассах. Желательные навыки: — Опыт с FlashAttention-2 и 3, CUTLASS и CuTe, TransformerEngine и FP8, Inductor, AOTAutograd, torch.compile. — Опыт работы с MoE в масштабе (экспертный параллелизм, потери маршрутизатора, управление емкостью) и трюки для длинного контекста (ALiBi/YaRN/NTK scaling). — Опыт работы с Kubernetes или SLURM в масштабе, настройка размещения и affinity, а также с GPU кластерами AWS, GCP и Azure. — Опыт с web-scale data plumbing (стриминг датасетов, Parquet и TFRecord, производительность токенизаторов), eval harnesses и benchmarking. — Знания методов безопасности и пост-тренировки, таких как DPO, ORPO, GRPO и reward models. — Опыт с экосистемами инференса, такими как vLLM и paged KV.

Location: Mauritania Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking an Applications Engineer to support our Mining product lines, with a primary focus on Excavator Buckets, Ground Engaging Tools and Crawler Systems and broader support across for electric rope shovels and hydraulic excavators. This is a hands-on, customer-facing engineering role. You will work closely with customers, Sales, Product Design, Manufacturing and Supply Chain teams to understand site issues, support product performance and help turn field feedback into practical engineering solutions. This is a remote-based role for anyone currently based anywhere in Mauritania, with regular travel to customer sites (approximately 50–75%). About the role As an Application Engineer, you will provide technical support across Bradken’s mining products, from site-based problem solving through to product updates, reverse engineering and product development. You will help capture customer requirements, provide engineering input, support field evaluations and ensure technical information is shared clearly across the business. Key responsibilities · Provide technical support for mining customers and regional Sales teams. · Support product performance reviews, field evaluations and warranty-related technical analysis. · Assist with product design, customisation, reverse engineering and product improvement work. · Prepare solid CAD models, drawings, analysis/simulation inputs and technical documentation. · Work with internal teams to ensure products can be designed, manufactured and delivered to customer requirements. · Support product trials, testing, validation and customer feedback. · Maintain a strong focus on safety, quality, customer outcomes and Bradken’s engineering standards. About you You are a practical Mechanical Engineer (or equivalent) who can work confidently with customers, technical teams and site-based challenges. You bring strong problem-solving skills, sound engineering-based judgement and the ability to communicate technical information clearly. You are comfortable moving between design work, product support and customer-facing conversations. This is a 100% fully remote role and is strictly open to candidates currently residing within Mauritania . Fluency in English is a mandatory requirement as all daily operations, training, and the interview process will be conducted entirely in English. You will bring: · A Bachelor’s degree in Mechanical Engineering or equivalent. · Experience in design, reliability, application engineering or a related technical role. · Experience in mining, construction equipment, fabrications, heavy manufacturing or similar industrial environments. · Product design, product development or project delivery experience. · Working knowledge of 3D CAD and FEA software. · A current driver’s licence and ability to travel locally and regionally. · Fluent in English and French skills are essential and Arabic language capability would be advantageous. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. Location & Eligibility : This is a 100% fully remote role. It is strictly open to Mauritanian citizens and legal residents currently residing anywhere within Mauritania. Technical Requirements : Candidates must possess a highly stable, high-speed internet connection and a reliable power source suitable for remote digital work. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages Employee Assistance Program for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Zambia Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking an Application Engineer to support our Mining product lines, with a primary focus on Excavator Buckets, Ground Engaging Tools and Crawler Systems and broader support across for electric rope shovels and hydraulic excavators. This is a hands-on, customer-facing engineering role. You will work closely with customers, Sales, Product Design, Manufacturing and Supply Chain teams to understand site issues, support product performance and help turn field feedback into practical engineering solutions. This is a remote-based role for anyone currently based anywhere in Zambia, with regular travel to customer sites (approximately 50–75%). About the role As an Application Engineer, you will provide technical support across Bradken’s mining products, from site-based problem solving through to product updates, reverse engineering and product development. You will help capture customer requirements, provide engineering input, support field evaluations and ensure technical information is shared clearly across the business. Key responsibilities · Provide technical support for mining customers and regional Sales teams. · Support product performance reviews, field evaluations and warranty-related technical analysis. · Assist with product design, customisation, reverse engineering and product improvement work. · Prepare solid CAD models, drawings, analysis/simulation inputs and technical documentation. · Work with internal teams to ensure products can be designed, manufactured and delivered to customer requirements. · Support product trials, testing, validation and customer feedback. · Maintain a strong focus on safety, quality, customer outcomes and Bradken’s engineering standards. About you You are a practical Mechanical Engineer (or equivalent) who can work confidently with customers, technical teams and site-based challenges. You bring strong problem-solving skills, sound engineering-based judgement and the ability to communicate technical information clearly. You are comfortable moving between design work, product support and customer-facing conversations. You will bring: · A Bachelor’s degree in Mechanical Engineering or equivalent. · Experience in design, reliability, application engineering or a related technical role. · Experience in mining, construction equipment, fabrications, heavy manufacturing or similar industrial environments. · Product design, product development or project delivery experience. · Working knowledge of 3D CAD and FEA software. · A current driver’s licence and ability to travel locally and regionally. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. This position is open to Zambian citizens and holders of valid Zambian Permanent Residence permits only. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages Employee Assistance Program for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Aberdeen, United Kingdom Location : Aberdeen – Commercial Quay / Offshore Start Date : 10 June 2026 Duration: 7–10 Days We are currently seeking an experienced NDT Inspector for a short-term offshore project. The successful candidate will mobilise from Aberdeen Commercial Quay on 10 June 2026 at 06:45hrs. Requirements Candidates must hold the following valid certifications: NDT Certification: VT & UT Level 2 Rope Access Certification: IRATA Level 1 or 2 GWO Certification: GWO BST Medical: Valid OEUK Medical Additional Requirements: Valid Eye Test Chester Step Test DONUT User Training Personnel must provide their own safety boots and V-Gard helmet Benefits Opportunity to work on a range of offshore subsea inspection projects. Collaborate with a team of industry experts. Opportunity to make a significant impact on safety and quality standards.

Location: South Africa; Ethiopia; Pakistan; Jamaica; Morocco; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is an innovative leader in the premium automotive care and lifestyle space, redefining the traditional service model by blending world-class craftsmanship with a high-end community experience. Operating out of a luxury facility in the Dallas-Fort Worth area, the team specializes in high-precision services for car enthusiasts, including paint protection film, ceramic coatings, and custom vinyl wraps. They serve a discerning clientele ranging from daily drivers to exotic vehicle collectors, providing an environment that feels more like a luxury lounge than a standard workshop. This fast-growing company has built a unique culture centered on passion and precision, where the customer experience is just as important as the technical result. With a focus on quality over volume, the team utilizes advanced techniques and premium products to deliver flawless protection and aesthetics. They are looking for dedicated professionals who thrive in a detail-oriented, collaborative environment and are eager to contribute to a brand that is setting new standards in the automotive aftermarket industry. Role Type: Full-time Engagement: Independent Contractor Job Summary Join a fast-growing automotive specialist as a Junior Sales Development Representative and turn your passion for cars into a career. This company is a one-stop shop for performance upgrades, routine maintenance, premium wraps, and PPF, complemented by a thriving e-commerce platform. As an early member of the sales team, you will be the driving force behind new business, engaging with enthusiasts and car owners to build a high-performance sales pipeline. This is a unique opportunity for an automotive enthusiast to learn the ropes of high-intent sales in a startup environment that values results over seniority. Key Responsibilities Handle inbound and outbound outreach to prospective clients interested in maintenance, custom upgrades, and e-commerce products. Conduct discovery calls to identify client needs and match them with the shop's specialized services. Manage and nurture leads through the sales funnel with a primary focus on hitting high closure rate targets. Engage with clients during peak "after-work" hours and weekends to maximize conversion when customers are most available. Maintain organized records of all interactions and client data within the CRM. Requirements Foundational automotive knowledge; you must understand the basics of car maintenance and aftermarket modifications. Exceptional communication skills with a clear, professional, and persuasive speaking style. High level of English proficiency to build trust and rapport with a diverse client base. Flexibility to work CST hours, specifically during evenings and weekends when client engagement is at its highest. A competitive mindset driven by KPIs, specifically closing ratios. Nice-to-Haves Prior experience with GoHighLevel or similar CRM platforms. Experience in objection handling and running discovery calls. Background in CRM administration or sales operations. Advanced technical knowledge of wraps, PPF, or specific automotive performance parts. Benefits 💰 Competitive base salary 🌎 Fully remote work environment 🚀 Career growth opportunities as the startup scales 📈 Base salary increases tied directly to KPI achievement

Location: Mesa, AZ, USA Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking a Design Engineer to support the development, improvement and customisation of Bradken’s mining equipment product lines, with a primary focus on Crawler Systems for electric rope shovels and hydraulic excavators. This is a hands-on mechanical design role suited to someone who enjoys detailed engineering work, product problem-solving and seeing designs move from concept through to manufacture and field use. About the role You will work across product design, reverse engineering, modelling, drafting, simulation and technical documentation. With strong design judgement and practical problem-solving skills, you will support new product development, product updates and customer-specific designs across Crawler Systems, Buckets, Ground Engaging Tools and other mining products. You will: · Create and update 3D models, detailed drawings and design documentation. · Support reverse engineering, product improvements and new concept design. · Complete analysis, simulation and technical checks to support safe, reliable product design. · Work with Manufacturing and Supply Chain to ensure designs can be built, supplied and supported effectively. · Support field evaluations and product reviews through site and manufacturing visits when required. · Capture product data, specifications and design changes in Bradken’s Product Lifecycle Management system. · Provide technical input to internal teams on product performance, design intent and manufacturability. · Contribute to quality, safety and continuous improvement across engineering activities. This role is primarily office or shop-based, with some travel to customer and manufacturing sites. Travel is expected to be around 10–20%. About you You will bring: A Bachelor’s degree in Mechanical Engineering or equivalent. Experience in mechanical design, product design, reliability engineering or product development. Experience in mining equipment, construction equipment, heavy manufacturing or a similar industrial environment. Strong capability in 3D CAD, detailed drafting and engineering analysis. Experience working with manufactured products, design changes and technical documentation. Ability to work with engineering, manufacturing, supply chain and commercial teams. A current driver’s licence and ability to travel locally and regionally. Spanish language capability is highly preferred, and French language capability would be advantageous. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, crawler systems, manufacturing processes, ISO 9001, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. Applicants must currently be authorised to work in the United States without employer sponsorship. Bradken is unable to sponsor or take over sponsorship of an employment visa or other employer-supported work authorisation process for this role. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. If you are interested in joining a team that is making a significant impact in the industry, we invite you to submit your application, along with your resume and a concise cover letter outlining why this position aligns with your career aspirations. Shortlisting for candidates will commence immediately. Everyone has a story... become a part of ours! How We Hire About Our Screening Process: As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them. If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. WE RESPECTFULLY REQUEST NO APPROACHES FROM RECRUITMENT AGENCIES. Bradken is an Equal Opportunity Employer. We are dedicated to fostering a diverse, inclusive, engaging, and flexible work environment for our employees, as we believe that remarkable outcomes arise when individuals are empowered to express their authentic selves in their work. All employment decisions will be based on merit, competence, performance, and business needs.