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Job Description

Senior Machine Learning Engineer (MLOps Focus)

We’re working with an insurance client on a cutting-edge AI Copilot for underwriting, they’re looking for a Senior Machine Learning Engineer (MLOps Focus) to own the production backbone of this platform.

You’ll sit at the intersection of ML, DevOps and Cloud Infrastructure, enabling data scientists to move fast while ensuring models are deployed securely, reliably and at scale.

Location: Hybrid – 2 days per week onsite in Central London

Start Date: 12th Jan for an initial 3 months

IR35: Outside IR35 - rate depending on experience

The Role

You’ll take technical ownership of the ML production environment, supporting the full lifecycle from experimentation to live deployment for an AI underwriting Copilot.

Key responsibilities include:

Leading task planning, workload allocation and delivery coordination

Owning CI/CD and multi-environment release workflows via Azure Pipelines

Building and maintaining Infrastructure-as-Code using Terraform

Managing Azure cloud deployments (networking, , security, environment)

Supporting Databricks & MLflow

Enabling data scientists with scalable environments

Developing Python-based automation, tooling and pipelines

Supporting agent-based systems (LangChain / LangGraph, orchestration, logging, monitoring)

What We’re Looking For:

Strong experience as a Senior ML Engineer / MLOps Engineer / ML Platform Engineer

Commercial MLOps experience with MLflow & Databricks

Deep Terraform expertise for Azure infrastructure

Hands-on Azure DevOps / CI-CD / multi-environment deployment

Strong Python engineering skills

Experience supporting agentic AI / LLM pipelines

Comfortable working with data scientists in fast-moving product teams

Confident technical communicator with delivery leadership skills

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.