3 of 3 MLOps Jobs in East Yorkshire

Machine Learning Operations (MLOps) Engineer The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Flexible Location – Ipswich, London or Selby Permanent, full time Closing date - 2 July 2025 Who we are We’re not just talking about making a difference, we’re making it happen. We generate dispatchable, renewable power … enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. About the role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written More ❯

Trainer/Instructor/Lecturer/Teacher Consultant/Coach/Mentor/Educator ) Ability to explain complex topics clearly and adapt to different learning levels. Familiarity with modern MLOps practices, reproducibility, and collaborative workflows. Practical experience deploying or training models in cloud environments (AWS, GCP or Azure) This is a fully remote working position & salary is £65,000, with More ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯