Senior ML Engineer
Londonremotesenior
Posted 1mo ago · via Teamtailor
About this role
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.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, aws, azure, gcp…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++awsazuregcppytorch