> Markdown version of [/jobs/ext/4169909-lead-machine-learning-engineer-575-day-inside-ir35-central-london](https://www.wearedevelopers.com/jobs/ext/4169909-lead-machine-learning-engineer-575-day-inside-ir35-central-london). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer - £575/day - Inside IR35 - Central London - **Company:** RecOps - **Location:** London, UK - **Experience:** Expert - **Salary:** £149,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Kubernetes, Pure Data, Machine Learning Operations, Api Design, Software Version Control, Docker - **Published:** October 20, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-C8F09C18ACFBFFEFF0/ ## About the Role * 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.