26 to 29 of 29 MLOps Jobs in the North of England

scale production-grade models and AI systems across the Economic Crime Hub. You will own the end-to-end lifecycle, establish standards for MLOps, and collaborate with Analytics, Product, and Technology teams to deliver automated decisioning. The role requires leadership of a multi-disciplinary DS/ML/MLops team ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

low. Join us on our journey... Let’s create something awesome, together, today. About the role and team: We are looking for a Lead MLOps Developer to own the design and delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain … production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite (e.g., the CVM suite) from legacy infrastructure to SageMaker, owning parity testing methodology and sign-off Build and maintain CI/ ...

capabilities including LLM-powered and generative experiences Setting technical direction across modelling, evaluation and ML lifecycle management Partnering closely with Product, Engineering and MLOps teams Improving scalability, observability and speed-to-production across ML systems Leading and developing a high-performing team of ML specialists and leaders Acting … interest in LLMs, generative AI and AI-powered customer experiences Excellent stakeholder management and communication skills Strong cross-functional collaboration across Product, Engineering and MLOps Why This Role? Opportunity to define the future of ML & AI within a major consumer platform High visibility and influence across Product, Technology and Commercial ...