Junior ML Operations Engineer

Datatech Analytics; Manchester; Hybrid; GBP 34,000 - 40,000; Full time

Job summary

A leading recruitment agency in the UK is seeking a Junior ML Operations Engineer to join their growing team in Manchester. The role involves working on Python-based machine learning deployments and collaborating with various teams to ensure high-quality model implementations. Ideal candidates should have strong Python fundamentals and a keen interest in machine learning systems. This position offers a hybrid work model and the opportunity for long-term technical growth.

Benefits

Gift or voucher scheme for referrals

Access to modern tooling and experienced engineers

Qualifications

• Genuine interest in machine learning systems.
• Desire to grow engineering capability in Python.
• Logical approach to problem solving.
• Curiosity and willingness to learn.

Responsibilities

• Work on Python based machine learning deployments.
• Support testing to ensure changes are quality-assured.
• Build tools and frameworks for confident model deployment.
• Collaborate with engineers and stakeholders on solutions.
• Contribute to technical documentation.

Skills

Python fundamentals

Logical thinking

Clear communication

Team collaboration

Education

Degree in a mathematical or technical subject

Job description

Overview

Junior ML Operations Engineer (Python)
Salary: Up to £40,000 depending on experience
Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months)
Ref: J13059

This is an exciting opportunity to build a career in production machine learning within a large scale pricing and analytics environment.

You will join a growing Machine Learning Operations team at the heart of a major transformation programme. The focus is on modernising how pricing models are built, tested and deployed into live systems. This role is ideal if you enjoy Python, problem solving and want to understand how machine learning works in real business settings rather than just notebooks.

This is not a research focused role and it is not purely infrastructure. The impact happens in the middle, where models become reliable, scalable and ready for customers.

What you will be doing

• Working on Python based rating and machine learning deployments used in live pricing systems
• Supporting testing and analysis to ensure changes are accurate, controlled and high quality
• Building and improving tools, frameworks and APIs that help teams deploy models with confidence
• Collaborating with engineers, analysts and stakeholders to turn ideas into working solutions
• Contributing to clear and well-structured technical documentation
• Developing an understanding of how machine learning impacts customer pricing and business performance

What you will bring

• A genuine interest in machine learning systems and how models move into production
• Strong Python fundamentals and a desire to grow your engineering capability
• A degree in a mathematical or technical subject or equivalent practical experience
• Logical thinking and a structured approach to problem solving
• Curiosity, initiative and a willingness to learn
• Clear communication skills and comfort working as part of a collaborative team

You will work on real systems that matter, not isolated exercises. You will be supported by experienced engineers, exposed to modern tooling, and given the space to build confidence in production machine learning and ML Operations. This role is designed to set strong foundations for long term technical growth.

Right to work

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

Apply to learn more or message for a confidential conversation.

If you have a friend or colleague who may be interested, please refer them to us. For each successful placement, you will be eligible for our general gift or voucher scheme.

Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit www.datatech.org.uk.