Hire by role

Hire ml platform engineers in the UK

What ml platform engineers are paid, what to name in the advert, and who you are up against — from the adverts on Machine Learning Jobs, not a survey. Looking for the roles themselves? See ML Platform Engineer jobs.

What you will pay

£66k to £109k, most around £90k

The range employers advertised for ml platform engineers on Machine Learning Jobs over the last 12 months, base salary only, across 12 priced adverts. Adverts that state a salary get more applications than those that hide it, and a figure at or above the midpoint is the single cheapest thing you can do for the response.

Remote or anchored

A fully remote role draws the whole country and can pay a little under the London figure; an anchored one competes locally and cannot.
Greenfield or inherited

Building from nothing is worth more to the right person than running what exists, and they will ask which it is.
Someone senior to learn from

A strong lead in the team is worth thousands on the offer; without one, expect to pay for that experience directly.

Who you are competing with

Hiring ml platform engineers on Machine Learning Jobs right now

Isomorphic Labs 1

Three live adverts for the role, as candidates see them. How rivals pitch it is worth a look before you write yours.

Faculty · 51–200 people · Series B

Platform Engineer

London
Hybrid
Mid-level
Permanent

Design, build and deploy secure, scalable cloud infrastructure for AI and ML workflows, working in a cross-functional team with data scientists and ML engineers. The role involves infrastructure-as-code with Terraform, containerised deployments on Docker and Kubernetes, CI/CD and GitOps, plus client-facing requirements gathering and technical scoping.

Azure · AWS · Terraform +4

5 days ago

PhysicsX

Platform Engineer - Self Hosting LLMs

London

Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.

vLLM · SGLang · KServe +6

Last week

Wayve · 11–50 people · Series A

Platform Engineer, AI Enablement

London
Hybrid
Permanent

Design, build and operate shared infrastructure for language model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Partner with security, IT and engineering teams, and support adoption through troubleshooting, documentation and reusable patterns.

Kubernetes · MCP · RAG

Visa sponsorship Last month

The guide

How to hire machine learning engineers in the UK

The job is keeping models working on your data, not building them once. What separates the roles, why your data maturity decides which one you can fill, and how to interview for the part that actually fails.

Read the guide