Machine Learning Engineer

Machine Learning Engineer
Location: Manchester, hybrid working - currently 40% on site increasing to £60% within 12 mths
Salary: Up to £66,000 depending on experience
Ref: J13039

This is an exciting opportunity to join a major organisation undergoing a large-scale transformation within its Pricing and Analytics function. Significant investment is being made in modern technology, tooling, and engineering capability, creating a genuine opportunity to influence how machine learning and pricing models are built, deployed, and scaled across the business.
The team is expanding and is seeking a Machine Learning Engineer to design, build, and maintain robust Python-based frameworks, tooling, and packages that support high-quality modelling and analytical workflows. You will play a key role in enabling fast, reliable, and scalable delivery of machine learning driven solutions in a production environment.
The culture is collaborative and engineering focused, with a strong emphasis on automation, high standards, and continuous improvement.

Role
·Develop and operationalise Python-based modelling tools and frameworks supporting the full modelling lifecycle
·Build tooling, APIs, and processes that enable efficient, controlled deployment of machine learning and statistical models
·Enable consistent, high-quality modelling practices through reusable frameworks and engineering standards
·Work closely with stakeholders to ensure models are production ready, scalable, and well governed
·Contribute to improving engineering maturity through best practice, knowledge sharing, and high-quality code delivery

Experience
·Around 18 to 24 months experience operating at senior analyst level or equivalent, with a strong focus on machine learning and modelling
·Strong experience building and maintaining Python-based modelling solutions in a commercial environment
·Experience developing, deploying, and supporting machine learning or statistical models across the full model lifecycle
·Exposure to GLM and or GBM modelling techniques is advantageous
·Previous experience contributing to pricing models or pricing-related modelling is beneficial
·Familiarity with Git and collaborative software development practices
·A mindset of continual improvement with a focus on scalable, reliable engineering
·Ability to communicate effectively with both technical and non-technical stakeholders
·Experience delivering solutions in a fast-moving commercial environment
·Exposure to regulated industries or insurance is beneficial but not essential

Additional Information
Right to work in the United Kingdom is required. Sponsorship is not available.

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