ML Engineer

Machine learning teams in Leeds are no longer side projects bolted onto a tech department. They’re core to how established companies compete, and this business, a growing SME in the AI & Technology space, has built its model infrastructure around that reality. The team ships models that touch real products, not slide decks. This Senior ML Engineer role sits right in the middle of that work.

Here’s what you’ll be doing:

Design, train and deploy machine learning models that solve genuine production problems, not research exercises

Build and maintain data pipelines that feed models reliably, at scale, without silent failures

Work closely with product and engineering teams to translate business questions into ML approaches that actually hold up

Monitor live models for drift, decay and performance drops, then fix what breaks

Write clean, tested code that other engineers can pick up without a translation guide

Contribute to technical decisions on tooling, architecture and where the team’s AI & Technology roadmap goes next

Solid commercial experience building and shipping machine learning models in Python

Comfort with the full ML lifecycle: data prep, training, evaluation, deployment, monitoring

Working knowledge of cloud platforms (AWS, Azure or GCP) and MLOps practices

Strong grounding in statistics and the judgement to know when a simpler model beats a flashy one

Clear communicator. You’ll need to explain model limitations to people who don’t live in Jupyter notebooks

A collaborative streak. This isn’t a lone-wolf role

£49,500 to £65,500, depending on experience

Hybrid working, with real flexibility built into the week

Private medical insurance and pension contribution

Annual leave that respects actual rest, not just box-ticking

Bonus scheme and genuine professional development support, including training budgets and progression paths

Why pursue a career in AI & Technology?

Demand for strong ML talent keeps climbing, and it shows no sign of levelling off. Leeds has quietly become one of the UK’s stronger regional hubs for AI & Technology work, with the kind of SME density that lets a Senior ML Engineer actually see their models reach production rather than gather dust in a backlog. Good people in this field build their own leverage. The skills compound, and so does the pay.