Machine Learning Engineer
Why This Role Stands Out
This hybrid Machine Learning Engineer role offers a fantastic opportunity to shape cutting-edge pricing and analytics models within a major organization, with a competitive salary of GBP 66,000. You'll thrive here if you're a seasoned Python and ML engineer eager to influence tooling and deployment practices in a collaborative, engineering-led team. Apply today to build scalable, production-ready models and advance your career!
Quick Overview
Job Description
Location: Manchester | Hybrid working - currently 40% on site increasing to £60% within 12 months
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.
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