RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £575 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong experience as a Lead Machine Learning Engineer, Lead ML Engineer or Senior MLE with technical leadership experience. Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and production coding standards. Comfortable building and debugging Python systems without heavy reliance on AI tooling, frameworks or Internet-based support. Experience designing and building clean, well-tested, production-quality AI/ML systems from scratch. Strong experience with testing, validation, TDD and Python unit testing, ideally using pytest. Experience leading the deployment and life cycle management of ML/AI models in secure or restricted production environments. Strong GenAI/LLM experience, including RAG pipelines, embeddings, vector databases, agentic workflows and model evaluation. Ability to compare models and approaches, explain trade-offs, and choose the right model/architecture for the use case. Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation. Experience building automated ML pipelines across training, testing, deployment, monitoring and rollback. Strong understanding