Machine Learning Engineer

As a Machine Learning Engineer, the work centres on working closely with analytics, pricing, and wider stakeholders to ensure models are robust and well governed. It would suit someone who can bring handling site-by-site responsibilities with consistency and care to the role.

How the role is set up

Able to communicate clearly with both technical and non-technical teams. Building and maintaining Python based modelling frameworks and tooling.

Where someone would start

Working closely with analytics, pricing, and wider stakeholders to ensure models are robust and well governed.

What helps someone build confidence

Handling site-by-site responsibilities with consistency and care. Strong professional approach.

What is expected

• Strong experience in Python modelling and machine learning engineering.
• Experience deploying and supporting models in a commercial environment.
• Insurance or pricing modelling experience is highly desirable.

Job details

• Manchester | Hybrid working - currently 40% Onsite increasing to £60% within 12 months.
• Join a major organisation investing heavily in its Pricing and Analytics transformation.
• This is a hands on opportunity to shape how machine learning and pricing models are built, deployed, and scaled in a modern production environment.
• Work in a collaborative, engineering led team focused on high quality Python modelling, automation, and robust deployment practices.