MLOps Engineer

MLOps Engineer | London (3 days on-site) | £80,000–£110,000 + bonus

A rapidly scaling cleantech company is looking for a mid-level MLOps Engineer to help productionise a range of ML models. The team operates across the energy market working in a fast, customer-focused environment.

You will join a small, high-quality Data and AI function, working closely with Data Engineers and AI Engineers to build, deploy and monitor production-grade ML systems. Ideal for someone who wants ownership, strong engineering standards and the pace of a scale-up.

Requirements

• 2+ years MLOps experience
• Strong Python, ML engineering and deployment foundations.
• Hands-on experience with AWS and SageMaker (essential).
• MLOps best practice: MLflow, CI/CD for ML, monitoring, reproducibility.
• Cloud and DevOps knowledge: AWS, Docker, IaC (CDK preferred).
• Experience deploying scalable pipelines and ML endpoints.
• Collaborative, proactive and comfortable with 3 days per week in the office.

Why Join

• Mission-driven cleantech scale-up accelerating the transition to clean energy.
• Opportunity to own and deliver impactful ML systems end-to-end.
• Backed by major partners and growing internationally.
• Exposure to diverse ML workloads including computer vision.

No sponsorship available.

If you are interested, get in touch or share your CV.