MLOps Engineer

Job description

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.

Extra information

Status

Open

Education Level

Secondary School

Location

City of London

Type of Contract

Full-time jobs

Published at

17-02-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English