4 of 4 Permanent MLOps Jobs in Leeds

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000

Hiring Organisation
Owen Thomas | Pending B Corp™
Location
Leeds, West Yorkshire, United Kingdom
growth. Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ...

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000

Hiring Organisation
Owen Thomas | Pending B Corp™
Location
Leeds, West Yorkshire, United Kingdom
Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people … opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The role of Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps ...

Marketing Data Engineer

Hiring Organisation
ThePlaceToBe
Location
Leeds, England, United Kingdom
knowledge of Linux to manage locale devcontainers, services and Could Run deployments Confidence to take lead upon client and internal meetings Experience within MLOps workflow, Python ML Frameworks, Apache Beam would be beneficial Digital Marketing Agency experience (not essential) You must be able to commute to Leeds City Centre ...

Machine Learning Engineer (Mid-Senior, Remote)

Hiring Organisation
Renude
Location
Leeds, West Yorkshire, United Kingdom
Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques Influence key decisions on architecture and implementation … including latency, token cost control, context window constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field such as computer science or years ...