ML Operations Engineer

Datatech Analytics; Manchester; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A major UK organisation is seeking a Machine Learning Operations Engineer in Manchester. This role will focus on developing Python-based rating engines, enhancing deployment efficiency, and collaborating with teams. Ideal candidates have strong Python and git experience, with a desire for continuous process improvement. Join a dynamic team focused on modern analytics and deployment challenges in a hybrid work setting.

Qualifications

• Strong experience in Python development and version control with git.
• Ability to work in a collaborative environment.
• Experience in fast-paced commercial settings is essential.

Responsibilities

• Develop and operationalise Python-based rating engines.
• Build scalable tools and frameworks for deployment processes.
• Enhance efficiency and control of rating changes across the organization.
• Support analysts and data scientists with deployment routes.

Skills

Building data or software products using Python

Using git

Collaborating with technical and non-technical teams

Continuous improvement mindset

Job description

Machine Learning Operations Engineer

Location: Manchester hybrid model - two days per week on site

Salary: negotiable depending on experience

Ref: J13040

This is an exciting time for a major UK organisation undergoing a significant transformation across its Pricing and Analytics function. The business is investing heavily in modernising its analytical capabilities, scaling its teams, upgrading its toolsets and expanding its technical infrastructure. As part of this growth, they are looking for a Machine Learning Operations Engineer to help shape the future of their production Python ecosystem.

This role offers the chance to work at the heart of a business where data, pricing and technology directly impact customer outcomes. You will play a key part in developing the frameworks, tooling and APIs that support high quality, high accuracy and high frequency deployment of Python based rating and analytical models.

The environment is collaborative, fast moving and focused on delivering real value.

The Role:

• Developing and operationalising Python based rating engines as part of the ML Operations team
• Building scalable tools, frameworks and APIs that improve deployment processes
• Enhancing the speed, efficiency and control of rating changes across the organisation
• Supporting analysts, data scientists and engineering teams with modern, reliable deployment routes

Experience:

• Strong experience building data or software products using Python and git
• A continuous improvement mindset and desire to evolve processes
• Ability to collaborate effectively with both technical and non-technical teams
• Experience applying these skills in a fast paced commercial setting
• Experience within financial services, insurance or other regulated industries is beneficial but not essential

This is an excellent opportunity for someone who enjoys ownership, wants to influence modern ML operations practices, and is motivated by solving complex problems in a real world environment.

If you are ready to take on a role that will shape and support next generation analytics and deployment capability, we want to hear from you.

Applicants must be eligible and authorised to work in the United Kingdom.