Plan:it
MLOps Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior MLOps Engineer
£90k + Share Options
AI ScaleUp
London
We're working with a London scale-up building proprietary AI that operates under strict real-time performance constraints. Their technology is deployed in production environments where reliability and latency aren't negotiable. If you want something more exciting and higher stakes than a standard SaaS ML problem, this is for you.
This is a genuine engineering role with real ownership, not a support function for researchers.
The Role
You'll own the infrastructure that moves models from research into production and keeps them performing reliably at scale. You'll work closely with research and engineering teams, sitting at the boundary between experimentation and production systems.
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.
What you'll be doing:
- Designing and maintaining end-to-end ML pipelines across the full lifecycle
- Deploying and monitoring models in production across multiple compute environments
- Building observability and alerting layers to catch performance regressions before they reach users
- Implementing CI/CD pipelines with automated quality checks
- Enabling reproducible experimentation for the research team
- Managing versioning across datasets, features, and models
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What we're looking for:
- Strong Python and software engineering fundamentals
- Hands-on production ML systems experience
- GCP experience is a real bonus
- Docker, Kubernetes, CI/CD
- Experience with low-latency or real-time systems
- Startup background - comfortable in a small, fast-moving team
- Domain-specific ML experience (signal processing, audio, speech) is a genuine advantage
The Package:
- £90,000 base
- Share options
- Private medical insurance
- ~38 days holiday
- Hybrid - 3 days in office per week, central London
“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