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Наш продукт — единая точка входа для рекламодателей, которая обеспечивает гибкое управление рекламой на всех цифровых площадках сети X5. На сегодняшний день платформа имеет доступ к аудитории в 24 млн. человек,…
Salary: £ 65,360 - £81,700 p.a. Closing date: Tuesday 8 September 2026 Contract type: Permanent Interviews: w/c 21 September 2026 The Wellcome Trust is a global charitable foundation. We improve health for everyone by…
Зарплата: до 400000 RUR (на руки)
Design and ship production ML/AI systems—LLM assistants, chatbots, recommenders, spam detection, and search—at TradingView's Limassol office, using Python/Go with Docker, Kubernetes, and MLOps infrastructure.
The Senior Software Engineer will build and maintain a scalable machine learning platform at Wise, focusing on infrastructure for model serving, training pipelines, and experiment tracking. The role requires strong backend engineering experience in Java or Python and cloud infrastructure expertise to support data scientists in deploying models at scale.
The Lead Machine Learning Engineer will spearhead technical direction and delivery for complex AI projects, architecting scalable systems and mentoring engineering teams. The role requires deep expertise in Python, cloud infrastructure, and containerization to deliver high-impact AI solutions for clients in sectors like healthcare.
Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and…
12-month contract Software Engineer role focused on Python development and AI/ML work, including building APIs from scratch and working with Kubernetes, based on-site in Phoenix.
Lead ML Engineer (6-month contract, 4 days onsite in Ft. Lauderdale) building and operationalizing ML solutions including recommendation engines, customer prediction models, personalization, and AI-driven customer intelligence systems.
AI/ML Risk & Controls Architect Responsibility - Designs the continuous monitoring framework: metrics, drift/performance thresholds, alerting cadence, replacing the annual point-in-time review - Defines the minimum…
Build AI-native tools, LLM workflows and AWS infrastructure for a PR/communications consultancy, primarily using Claude Code, Python and LLMs to ship practical AI capabilities from prototype to production.
The Machine Learning Integrations Engineer bridges data science and production by deploying and maintaining ML models within a logistics platform. The role involves full-stack development using TypeScript, Python, and React, alongside managing microservices and CI/CD pipelines.
The Integration Engineer will bridge data science and production by deploying and maintaining machine learning models within a full-stack environment. The role involves working with TypeScript, Python, React, and microservices to deliver scalable AI features for a logistics platform.
Staff ML Engineer (Ops/Release) responsible for owning release gates across complex model training phases, ensuring quality/safety standards, and driving improvements in ML delivery pipelines using PyTorch, TensorRT, GitHub Actions, and MLOps tooling.
The Machine Learning Specialist will lead the development, governance, and lifecycle of agricultural data models using satellite imagery and ML to provide intelligence for insurers and lenders. This role involves building scalable MLOps pipelines on AWS and mentoring a technical team to ensure model accuracy and reproducibility.
АО «ВИМ Инвестиции» — признанный лидер на российском рынке управления инвестиционными фондами. Мы создаем передовые финансовые продукты, помогая крупным частным клиентам и корпорациям эффективно управлять капиталом и…
The MLOps Engineer Senior will industrialize, deploy, and scale machine learning models into production environments using tools like MLflow, Docker, Kubernetes, and Databricks. This remote role involves building CI/CD pipelines and collaborating with data teams to ensure reliable, production-grade ML systems.
Optimize and deploy ML models for embedded automotive autonomy, balancing model quality with hardware efficiency using quantization, mixed-precision, and hardware-aware techniques.
Builds and deploys AI/ML and agentic systems as a Senior Engineer, focusing on robust backend APIs, production-grade pipelines, and cross-team collaboration to integrate AI solutions.
The Machine Learning Engineer will develop generative world models and interactive simulation environments to advance autonomous driving research. The role focuses on creating efficient, real-time models using Python and PyTorch to improve training and evaluation for self-driving systems.
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