ML Engineer

Datatech Analytics; Manchester; On-site; GBP 60,000 - 80,000; Full time

Job summary

A major organisation in data analytics is seeking a Machine Learning Engineer to design and operationalise Python-based modelling tools. You will collaborate with teams to create efficient processes for model deployment, while contributing to engineering maturity. This role offers a fast-paced and collaborative environment with hybrid working options. Candidates must have experience with Python and a drive for continuous improvement in engineering practices.

Qualifications

• Strong experience building data 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.

Responsibilities

• Develop and operationalise Python-based modelling tools and frameworks.
• Create tools, APIs and processes for deploying ML and statistical models.
• Support teams with standardised modelling approaches.
• Help raise engineering maturity through best practices.

Skills

Python programming

Git

Collaboration

Problem-solving

Continuous improvement mindset

Job description

Machine Learning Engineer – Location: Manchester - Hybrid working two days per week on site. Salary: negotiable based on experience. Ref: J13039

This is an exciting opportunity to join a major organisation that is 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.

The team is expanding 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 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.