Senior MLOps Engineer

Edinburghonsitesenior

Posted 8mo ago · via Teamtailor

About this role

As an MLOps Engineer, you will play a pivotal role in designing, building, and operating the platforms, pipelines, and infrastructure that enable machine learning solutions to move reliably from experimentation to production. This is a blended role combining MLOps, Data Engineering, and DevOps, well-suited to an engineer who enjoys working across the full ML and data lifecycle. You will work within dynamic, multi-disciplinary project teams, collaborating closely with data scientists, software engineers, and client stakeholders to deliver scalable, production-ready ML and data solutions across a diverse range of commercial sectors. This role offers strong opportunities for career development, exposure to real-world ML systems, and continuous learning within a fast-growing engineering team.…

Read the full description on Optima Partners's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, bash, sql, databricks, azure…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Edinburgh. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonbashsqldatabricksazuresagemakerterraformansiblejenkinspysparkscikit-learnpytorchtensorflowmlflowgitteams

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