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:

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:

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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