- Pay
- £50–63k
- Where
- Birmingham, West Midlands, GB · GB · Remote · Remote
- Level
- Mid
Perfect role for a mid professional looking to grow their AI & Technology career in Birmingham.
Machine learning only earns its keep once a model survives contact with production.
That's the gap this MLOps Engineer role sits in.
The company is an established enterprise player in AI & Technology, running large-scale systems where reliability and governance matter as much as the models themselves, and it's built its reputation on doing the unglamorous infrastructure work properly.
Here's what you'll be doing: Build and maintain CI/CD pipelines for machine learning models, from training through to production deployment Monitor model performance in production and flag drift, degradation or data quality issues before they become problems Design and manage infrastructure for training and serving models at scale, using containerisation and orchestration tools Work with data scientists to package experimental code into reproducible, version-controlled pipelines Automate testing, validation and rollback processes so deployments stay safe and repeatable Maintain documentation and contribute to the established frameworks that keep the wider AI & Technology function running smoothly Here are the skills you'll need: Solid experience with MLOps tooling such as MLflow, Kubeflow, or similar model lifecycle platforms Strong Python skills, plus comfort with Docker and Kubernetes in a production setting Working knowledge of cloud platforms (AWS, Azure or GCP) and infrastructure-as-code approaches Experience with CI/CD tooling and a genuine interest in automation over manual fixes Good communication skills.
You'll be the bridge between data science and engineering, so you need to explain technical tradeoffs clearly A methodical approach.
Mid-level here means you can own a pipeline end to end without someone checking your homework Key perks and benefits: £49,500 to £63,000, depending on experience Fully remote working, with flexibility built into how the team operates Private medical and dental insurance Enhanced pension scheme and performance-based bonuses A comprehensive benefits package alongside structured career development within an established industry leader Why pursue a career in AI & Technology?
Demand for people who can actually ship and run machine learning systems keeps climbing, and it shows no sign of slowing.
Birmingham has quietly become a serious base for AI & Technology work, with enterprise employers investing in the city rather than defaulting to London.
Few fields reward solid, dependable engineering as consistently as this one does right now.
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