Machine Learning Engineer

Datatech; Manchester; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A leading technology organization in Manchester is seeking a Machine Learning Engineer or Senior Machine Learning Engineer. The role involves developing Python-based tools for modelling and analytics, supporting teams with deployment of ML models, and fostering a culture of engineering excellence. Ideal candidates will have strong experience in Python and Git, and the ability to collaborate across teams. This hybrid role allows for collaborative engagement while working on innovative data solutions.

Qualifications

• 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.

Responsibilities

• Develop and operationalise Python-based modelling tools and frameworks.
• Create tools, APIs, and processes for controlled deployment of ML models.
• Support teams with standardised modelling approaches.

Skills

Python

Git

Collaboration

Scalable Engineering

Continuous Improvement

Job description

Machine Learning Engineer / Senior 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 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 we are 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.

Referral

Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate that you introduce to us that we place, you will be entitled to our general gift/voucher scheme.