MLOps Engineer- Contract Role

MLOps Engineer | Contract | Initial 3 Months | London (Hybrid) | £500–550/day Outside IR35

We’re hiring a Senior MLOps Engineer to join a central AI platform team that underpins multiple product streams. You’ll help take cutting‑edge ML and GenAI work (LLM evaluation, conversational AI, fine‑tuning) from R&D into production with reliable pipelines, solid infrastructure, and clean APIs.

This role is London‑based and hybrid, you will be required onsite 2–3 days per week.

Key Responsibilities and overview:

• Build and operate end‑to‑end pipelines across classic ML and GenAI (training, fine‑tuning, evaluation, packaging, deployment).
• Implement CI/CD for models and services, including automated tests and safe rollback paths.
• Stand up and manage inference endpoints (for LLMs and other models) with appropriate performance, security, and observability.
• Develop the platform services and APIs that ML specialists and product teams consume (e.g., for conversational AI).
• Proven experience with LLM/GenAI infrastructure (evaluation, serving, or fine‑tuning) and traditional ML workflows.
• Comfortable writing and reading Python in a collaborative codebase; able to work with platform and backend engineers.
• Hands‑on with Databricks (Unity Catalog, MLflow) or equivalent ML platforms.

Tech Stack:

• Python
• Databricks
• Experience with AWS, GCP, or Azure
• SageMaker/Vertex/Azure AI experience
• CI/CD with Docker/Kubernetes
• Terraform

This is an urgent role so you must be readily available to start and interview ASAP.

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