Oliver Bernard
Machine Learning Engineer (Up to £180k + equity)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Machine Learning Engineer | Up to £180k + Equity | London, 5 Days Onsite
We're working with a well-funded London AI startup building complex production ML systems for major global organisations.
The business is tackling a technically difficult problem that sits across large-scale modelling, LLMs and real-world decision support.
They've already secured strong commercial traction, are backed by leading investors, and are now expanding the engineering team around the core ML platform.
This role is focused on taking ambitious research ideas and turning them into reliable production systems.
The Role
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.
You'll sit between research and engineering, owning the path from ML prototype through to deployment, optimisation and scale.
Responsibilities
- Take new ML research from prototype through to production
- Fine-tune, post-train and distil language models
- Build and optimise inference systems at scale
- Design data pipelines for large, messy real-world datasets
- Improve model performance, latency and cost
- Own ML systems end-to-end from experimentation through deployment
Requirements
- 2+ years shipping ML systems in a startup or high-ownership environment
- Strong experience with deep learning and language models
- Hands-on experience with fine-tuning, RL, distillation or model post-training
- Strong Python engineering skills
- Experience deploying models used by real customers, within a startup or fast growing scale-up environment.
- Strong academic pedigree with a bachelors degree from a top university.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Sponsorship is available for strong candidates.
Tech
Python, LLMs, fine-tuning, RL, model distillation, distributed training, inference optimisation, data pipelines.
Location
London, 5 days per week onsite.
Package
Up to £180,000 depending on experience plus equity.
“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