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Salary: £75,000 - 100,000 per year Requirements: Strong Python development skills Experience with machine learning experiment tracking and model registries using MLflow, Weights & Biases, Neptune, ClearML or a similar…
Software Developer building and deploying Python-based software for agri-tech projects involving computer vision, data pipelines, and cloud platforms, working closely with researchers and data scientists on-site in Lincoln.
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
Designs and communicates AI solution architectures for defense, aerospace, and industry 4.0 clients, bridging technical and business needs with Python, Kubernetes, and cloud tools.
Senior Deep Learning Engineer developing and optimizing spatio-temporal neural networks for end-to-end autonomous driving, building scalable training pipelines, and deploying production models using Python, C++, and PyTorch/TensorFlow.
Build and ship AI-driven recommendation and ranking models for Taboola’s ad platform serving 600M+ daily users, using Python, PyTorch, Spark, and real-time ML systems.
AI/ML engineer developing, optimizing, and managing AI-based solutions at Sweden's signals intelligence agency, working with Python, containers, Kubernetes, and MLOps pipelines.
UFORCE exists to make aggression unaffordable. Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed…
We are looking for a Middle/Senior Data Scientist to join the Data Science team of a leading financial institution in Ukraine. We are open to considering candidates at the Middle to Senior level, depending on their…
Research and train large-scale diffusion models for image and video generation, ablate architectural choices, and fine-tune models for specialized tasks like upscaling and inpainting.
Привет! Это команда Возвраты ML. Мы ищем талантливого Data Scientist/ML Engineer в новую ML-команду отдела «Возвраты маркетплейса». Отдел занимается обработкой и модерацией возвратов покупателя и продавца, аннуляциями,…
Мы формируем ядро команды, которая создает с нуля экосистему интеллектуальных агентов для автоматизации бизнес-процессов. Нам нужен универсальный специалист, способный вести фичи от проектирования базы данных до…
Мы — ООО « Датаномика » , решаем проблемы структурирования разнородных данных, которые сложно поддаются анализу, помогаем среднему и малому бизнесу, банкам, ритейлу использовать данные чеков для оценки конъюнктуры…
Build next-gen AI models for retail using transformers and deep learning, turning research into production-ready solutions that power personalisation and forecasting.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
The Lead Engineer, Machine Learning will build and scale production-ready AI systems, managing the full model lifecycle from training to deployment. The role focuses on creating reliable, high-performance inference systems using Python, PyTorch, and JAX to power proactive, AI-native applications.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
Обязанности Разработка, обучение и вывод в продакшн моделей сегментации и детекции объектов на изображениях Опыт настройки инфраструктуры под задачи ML и MLOps Построение и поддержка надежного сквозного конвейера: от…
Leads the design, build, and operation of high-performance research and trading infrastructure for a quantitative investment firm, including cloud, compute clusters, and DevOps tooling.
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
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