ML Ops Engineer | York

Oliver James
North Humberside, United Kingdom
2 weeks ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Senior Machine Learning Engineer

Platform Recruitment Cambridge, United Kingdom

Senior AI/ML Engineer

Platform Recruitment London, United Kingdom
£90,000 – £120,000 pa

Senior Software Engineer, ML Ops

Isomorphic Labs London, United Kingdom
On-site

AI MLOps Engineer

Morson Edge Peninsula, London, United Kingdom
£600 – £650 pd Remote

ML Engineer

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£60,000 – £65,000 pa Hybrid
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Machine Learning Engineering Manager

We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions.

Sitting within our Group & Enterprise Services (GES) function, this role is part of the Data vertical and reports into the Head of Data Engineering. You'll be hands-on with cloud infrastructure, APIs and deployment pipelines, working mainly in GCP Vertex AI (essential) and Azure (desirable). Your focus will be enabling data scientists to deploy high-impact models reliably and at scale.

You'll combine leadership, architectural thinking and deep engineering skills to shape the ML platform, coach engineers and deliver robust, enterprise-ready ML services.

What you'll do

* Lead, mentor and develop a small team of ML Engineers

* Oversee delivery of ML capabilities and support planning and capacity needs

* Shape architecture from early design through to production

* Build and maintain Python APIs (Flask/FastAPI) for model serving

* Develop infrastructure for real-time and batch deployments

* Design and maintain CI/CD pipelines for models

* Ensure code quality, engineering best practice and scalable cloud deployments

* Collaborate with data scientists, platform engineers and developers

* Support model lifecycle management, monitoring and automation

* Break down solution designs into deliverables and milestones

What you'll bring

* 5+ years as an ML Engineer with strong Python engineering skills

* Experience deploying and maintaining ML models in production (Vertex AI required)

* Strong software engineering fundamentals: OOP, unit testing, TDD

* Cloud experience (GCP, AWS or Azure) and IaC tools such as Terraform

* Experience with Docker, CI/CD pipelines and Git workflows

* Understanding of data science principles and taking research code to production

* Strong problem-solving skills and the ability to work independently

* Comfortable working in Agile teams

* Clear communication, collaboration and a proactive, improvement-driven mindset

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.