RecOps is partnered with a leading consultancy supporting a large AI/ML programme for an insurance client.
This is a hands-on Lead Machine Learning Engineer role, focused on taking AI/ML systems into production and building the engineering around them.
Key skills:
- Strong commercial experience building, deploying and supporting machine learning systems in production.
- Excellent Python, including Back End/API development, async programming and clean software engineering practices.
- Recent hands-on experience building, deploying and supporting AI/ML systems in production.
- Strong cloud infrastructure experience. Azure is preferred, but strong AWS/GCP experience is transferable.
- Docker, Kubernetes, CI/CD, monitoring and production troubleshooting.
- Experience with MLOps, model/version management and production life cycle management.
- Good understanding of security, access controls, reliability and governance around AI/ML systems.
- Experience with GenAI/RAG, vector search, evaluation and LLM reliability.
- Lead-level experience setting technical direction while remaining hands-on.
This isn't a pure data science or prompt engineering role. The focus is on the engineering required to get AI/ML systems running reliably in production.
If the above sounds like you, please apply now for immediate consideration.
Rate:
£575/day
Location:
London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
AI & Machine Learning
Seniority Level:
Senior