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.
