Senior ML Operations Engineer (Python)

18 Days Old

Senior ML Operations Engineer (Python)
Salary: Up to £66,000 depending on experience
Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months)
Ref: J13060

We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment.

This role focuses on production. You will work on Python based model and pricing deployments that run in live systems, designing the tooling and frameworks that allow teams to release changes safely, frequently and with confidence.

It is not a research role and it is not purely platform engineering. The impact sits in the middle, where strong engineering judgement meets real world business outcomes.

What you will do
Own and improve Python based ML and pricing deployments
Build and maintain shared deployment tools and frameworks
Enable controlled and repeatable model releases
Work closely with engineers, analysts and stakeholders
Influence technical direction within ML Operations

What we are looking for -
Experience working with production ML or data driven systems
Strong Python engineering skills
Comfort owning systems and collaborating across teams
Clear communication and thoughtful problem solving

You will have real ownership, flexibility in how you work, and the opportunity to shape how machine learning is operationalised at scale.

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.



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Location:
Manchester
Salary:
£65,000
Job Type:
FullTime
Category:
Engineering;IT;IT

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