WhyHireWrong?
Senior ML Engineer
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About the company
A VC-backed AI/ML startup in West London building a novel foundation model for fully automated, unsupervised software delivery in embedded control systems. Early stage, high urgency, high transparency. They value directness over jargon and hands-on ownership over titles.
What you'll actually do
- Own a large-scale foundation model end to end, from research through production. This is 0 to 1 work, not maintaining someone else's architecture.
- Design and implement custom CUDA kernels where off-the-shelf libraries fall short.
- Architect and scale distributed training and inference pipelines on cloud infrastructure.
- Build and operate ML systems with strict production SLOs. Your models ship, not just train.
- Create internal tooling and infrastructure that accelerates the whole team's output.
- Work in a fast, ambiguous environment where you define what needs building next. Core stack: CUDA, C++, Python, PyTorch, distributed training, GPU infrastructure, foundation models
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.
Criteria I check in every CV (must-haves, only these matter)
- You've shipped a large-scale foundation model from 0 to 1 at a high-growth AI/ML startup or a top-tier research lab. Papers alone don't count.
- You've designed and implemented custom CUDA kernels to optimize model performance. This is non-negotiable.
- You have direct hands-on experience scaling distributed training or inference pipelines on cloud infrastructure (AWS, GCP, or Azure).
- You've owned an ML system with strict production SLOs or SLAs end to end, not just a research prototype.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What gets rejected immediately
- Academic or research-only experience without commercial production delivery.
- No proficiency in CUDA C/C++ or Python.
- No distributed training or inference experience at scale.
EU AI Act compliance
I use TeamTailor's built-in Co-Pilot to extract signals from CVs during the review stage. The decision to move a candidate forward is always made by a human person (me or the client). No automated decisions are made about your application.
“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
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