Machine Learning Engineer

Salary: Up to £66,000 depending on experience

Ref: J13039

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.

You will work in a collaborative, engineering led team focused on high quality Python modelling, automation, and robust deployment practices. The role offers genuine influence over tooling, frameworks, and standards as the function continues to grow.

Role

• Building and maintaining Python based modelling frameworks and tooling
• Supporting the full lifecycle of machine learning and statistical models
• Enabling scalable, production ready model deployment through reusable engineering solutions
• Working closely with analytics, pricing, and wider stakeholders to ensure models are robust and well governed
• Contributing to best practice, code quality, and continuous improvement

Experience

• Strong experience in Python modelling and machine learning engineering
• Background operating at senior analyst level or equivalent
• Experience deploying and supporting models in a commercial environment
• Exposure to GLM and or GBM models is beneficial
• Insurance or pricing modelling experience is highly desirable
• Comfortable working with Git and collaborative development practices
• Able to communicate clearly with both technical and non-technical teams

UK right to work required. Sponsorship is not available.

Apply to learn more or message for a confidential conversation.

• Strong experience in Python modelling and machine learning engineering
• Background operating at senior analyst level or equivalent
• Experience deploying and supporting models in a commercial environment
• Exposure to GLM and or GBM models is beneficial
• Insurance or pricing modelling experience is highly desirable
• Comfortable working with Git and collaborative development practices
• Able to communicate clearly with both technical and non-technical teams