Machine Learning Engineer / Senior Machine Learning Engineer – Manchester – Hybrid working two days per week on site. Salary: negotiable based on experience. Ref: J13039.
We are an organisation undergoing a large scale transformation within its Pricing and Analytics function. Significant investment is being made in technology, tooling and people development, creating a genuine chance to influence how modern data and analytics products are built and deployed.
We are expanding the team and looking for a Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the 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 ML driven solutions across the business.
The environment is collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement.
Role
- Develop and operationalise Python-based modelling tools and frameworks that support the full analytical lifecycle.
- Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models.
- Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices.
- Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code delivery.
Experience
- Strong experience building data or software products using Python and Git.
- A mindset of continual improvement and a passion for reliable, scalable engineering.
- The ability to collaborate effectively with both technical and non-technical colleagues.
- Experience delivering in a fast moving commercial environment.
- Exposure to regulated industries or personal lines insurance is beneficial but not essential.
Applicants must be eligible and authorised to work in the United Kingdom.
If you are driven by building high quality ML tooling, enjoy solving complex engineering challenges and want to contribute to a major transformation, we would be keen to hear from you.
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