5 of 5 MLOps Jobs in Warrington

Senior MLOps Engineer | Established Bank | £70,000-£ 85,000 base + Bonus | Hybrid We are looking for an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with … environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/ More ❯

MLOps Engineer – AI Consultancy | Manchester | £50k–£60k + Equity + Benefits We’re hiring a MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. What you … TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have: MLOps experience Open source contributions Curiosity for learning new tech Perks: £50k–£60k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension More ❯

Senior MLOps Engineer – AI Consultancy | Manchester | £60k–£70k + Equity + Benefits We’re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. … TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have: MLOps experience Open source contributions Curiosity for learning new tech Perks: £60k–£70k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension More ❯

Lead MLOps Engineer – AI Consultancy | Manchester | £70k–£85k + Leadership Opportunity We’re looking for a Lead MLOps Engineer to help shape the future of AI deployment. Based in Manchester City Centre (3 days on-site), you’ll lead technical direction, manage engineers, and work hands-on with clients to bring AI into production. What you’ll be doing: Leading … the technical delivery of MLOps projects Balancing hands-on engineering with leadership responsibilities Managing and mentoring a team (1:1s, development planning) Working across research, prototyping, and production divisions Supporting commercial engagements and client relationships What we’re looking for: Proven experience owning and delivering multiple projects Strong Python skills and experience writing production-grade code Familiarity with ML frameworks … TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Experience with cloud platforms and MLOps best practices Emotional intelligence and people leadership skills UK citizen eligible for SC clearance Why join? £70k–£85k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension A collaborative, mission-driven team working on cutting-edge AI More ❯

Python, GCP, and Vertex AI foundations. What You’ll Be Doing Taking full engineering and architectural ownership of a synthetic data platform already in the advanced build phase. Driving MLOps and production deployment workflows across GCP, Vertex AI, and model lifecycle management. Making critical design decisions—defending your technical strategy and knowing when to push back. Collaborating with data scientists … with direct C-suite engagement in a global organisation with a multi-£billion turnover . What We’re Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management . Ability to operate in a high-visibility, high-stakes environment with resilience and More ❯