MLOps Engineer
Location: London
We're looking for an experienced MLOps Engineer to design, build and optimise AI/ML infrastructure across hybrid cloud environments. You'll enable data scientists and ML engineers to train, deploy and scale models efficiently while shaping the future of our AI platform.
What you'll be doing
1. Architecting and implementing AI/ML platforms across hybrid cloud (on‑prem + public cloud)
2. Building infrastructure for model training, deployment and monitoring
3. Integrating cloud‑native services with on‑prem systems
4. Automating infrastructure with Terraform and IaC
5. Improving ML workflows in partnership with data science teams
6. Ensuring platform scalability, reliability and security
7. Implementing CI/CD pipelines for ML model lifecycle management
What we're looking for
Top skills (in order of preference):
8. Strong background in cloud engineering / DevOps / MLOps / platform engineering
9. Experience building hybrid cloud architectures
10. Proficiency in containerisation & orchestration
You'll also need:
11. Experience with MLOps tools/frameworks
12. Knowledge of data storage & compute solutions for AI workloads
13. Strong scripting & automation skills (Python, Bash,
14. Understanding of security, compliance and governance in cloud/AI environments
Nice to have:
15. Experience deploying and managing ML model lifecycles
16. Knowledge of distributed training frameworks
17. Familiarity with monitoring/observability stacks
18. Cloud certifications (Architect/Engineer)
19. Experience in regulated industries
Why join?
20. Drive the build‑out of a modern, scalable AI platform
21. Work at the intersection of cloud, ML and platform engineering
22. Real impact on how AI is deployed across the organisation
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.