26 to 30 of 30 MLOps Jobs in the North West

strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products … pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such ...

ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role … leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps ...

experimentation strategy, model optimisation and AI innovation Collaborating with Product, Engineering and Commercial teams to embed Data Science into core decision‐making Shaping scalable MLOps and ML infrastructure within AWS environments Mentoring and developing a technically strong team of Data Scientists and ML Engineers Influencing long‐term AI strategy … engineering Hands‐on experience with PyTorch and deploying scalable ML models Expertise in recommendation systems, pricing models or personalisation engines Strong understanding of MLOps, experimentation frameworks and ML infrastructure Experience operating within AWS cloud environments A commercially minded approach to AI, modelling and automation Track record of building, mentoring ...

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 ...

Principal Machine Learning Engineer – Manchester About the job. As part of the development of our Digital Services function, we are recruiting to strengthen our internal digital capability. These roles are central to building sustainable in ...