Dex
ML / AI Platform Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
ML / AI Platform Engineer (Train & Serve at Scale | up to £300k+ TC) · London / Europe
Title: ML / AI Platform Engineer
Location: London / Europe
Salary: Total compensation up to £300,000+ plus equity
Dex is an intelligent recruiter that helps you run your job search. Tell Dex about your experience, what you want to build or solve, and your non-negotiables — we only surface the handful of roles genuinely worth your time, and manage the applications on your behalf.
Interested? Apply now by connecting your LinkedIn to Dex.
Platform work gets treated as plumbing at a lot of companies. Not at the ones we work with — frontier labs, fintechs and enterprise-AI teams whose products live or die on training throughput, inference cost and cluster reliability. There, the platform engineer is one of the most consequential hires they make, and the comp reflects it. We know these teams day to day, so we can tell you where the infrastructure genuinely is the product.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The opportunities
Salaries across these roles run up to £300k+, with equity on top. You'd own the systems everything else stands on: the training stack, the GPU clusters, the inference layer, the tooling every ML engineer ships through. Impact is measurable in the units that matter — throughput, latency, reliability — and visible to the whole company when you move them.
You could work on
- Building and running training and inference infrastructure at scale
- Owning GPU and cluster performance, throughput and reliability
- Building the platform and tooling the ML org depends on
- Taking systems from first build-out to steady production operation
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You may have
- A strong ML infrastructure or platform engineering background
- Distributed training, GPU optimisation or large-scale serving experience
- Comfort going low-level — kernels, profiling, parallelism — when it counts
- A production mindset: reliability and observability as first-class work
Why apply through Dex?
We put you in front of the right teams with a proper introduction, not a cold application — and you stay in control of what moves forward.
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location