ML Ops Engineer | York

Oliver James
North Humberside, United Kingdom
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

PoliceAI: Senior AI Engineer

College of Policing London, Eng, United Kingdom
£78,000 – £85,000 pa Remote

Senior ML Systems Engineer, Frameworks & Tooling

Cohere London, United Kingdom
Remote

Machine Learning Engineer

PhysicsX United Kingdom
£150,000 – £190,000 pa Remote

Machine Learning Engineer

PhysicsX England
£150,000 – £190,000 pa On-site Clearance Required

MLOps Engineer

Harnham - Data and Analytics Recruitment London, United Kingdom
£75,000 – £85,000 pa

Staff ML Engineer | Agentic AI & Applied ML | London | |

WeDoTech Bunhill, London, United Kingdom
£800 – £1,000 pd Hybrid

Staff Machine Learning Engineer | | Up to+ Bonus

WeDoTech Bunhill, London, United Kingdom
£120,000 – £160,000 pa Permanent
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (6 months 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.