Senior ML Engineer — Production AI (Hybrid, Leeds)

The Opportunity Hub UK Ltd; Leeds; Hybrid; GBP 50,000 - 66,000; Full time

Benefits offered by this job

Hybrid working

Private medical insurance

Pension contribution

Annual leave

Bonus scheme

Training budgets

Job summary

The Opportunity Hub UK Ltd in Leeds is seeking a Senior ML Engineer to design, train and deploy production ML models. You will build data pipelines and collaborate with product and engineering teams to translate business questions into robust ML solutions.

You will monitor models for drift, write clean code, and help steer tooling and architecture decisions. Hybrid working, £49,500–£65,500 per year, and a supportive plan for professional development are offered.

Qualifications

• Solid commercial experience building and shipping machine learning models in Python.
• Working knowledge of the full ML lifecycle: data prep, training, evaluation, deployment, monitoring.
• Experience with cloud platforms (AWS, Azure or GCP) and MLOps practices.
• Strong grounding in statistics and ability to judge when a simpler model is better.

Responsibilities

• 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

Skills

Python

ML lifecycle

Cloud platforms

MLOps

Statistics

Communication

Collaboration

Tools

AWS

Azure

GCP

Job description

The Opportunity Hub UK Ltd in Leeds is seeking a Senior ML Engineer to design, train and deploy production ML models. You will build data pipelines and collaborate with product and engineering teams to translate business questions into robust ML solutions.

You will monitor models for drift, write clean code, and help steer tooling and architecture decisions. Hybrid working, £49,500–£65,500 per year, and a supportive plan for professional development are offered.