Job Description
MLOps / ML Engineer –
Details-
6 months
IR35: Outside
Location: London (1 day/month)
Start: ASAP
Role
Build and maintain end‑to‑end ML pipelines
Deploy models into production using CI/CD, containers, and cloud tooling
Implement monitoring, drift detection, and observability
Develop retrieval/LLM components using Python, LangChain/LlamaIndex, and vector DBs
Work with Data Science teams to scale and operationalise models
Ensure compliance and governance for models in a regulated insurance environmentRequirements
Strong MLOps + ML Engineering background
Python, ML pipelines, CI/CD, orchestration, monitoring
Experience with LLM/NLP integration
Knowledge of vector search & embeddings
Enterprise/regulated experience
Insurance domain experience is essential
Must have full right to work in the UK (no sponsorship)
Details-
6 months
IR35: Outside
Location: London (1 day/month)
Start: ASAP
Role
Build and maintain end‑to‑end ML pipelines
Deploy models into production using CI/CD, containers, and cloud tooling
Implement monitoring, drift detection, and observability
Develop retrieval/LLM components using Python, LangChain/LlamaIndex, and vector DBs
Work with Data Science teams to scale and operationalise models
Ensure compliance and governance for models in a regulated insurance environmentRequirements
Strong MLOps + ML Engineering background
Python, ML pipelines, CI/CD, orchestration, monitoring
Experience with LLM/NLP integration
Knowledge of vector search & embeddings
Enterprise/regulated experience
Insurance domain experience is essential
Must have full right to work in the UK (no sponsorship)
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