Senior Ml Engineer

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.

• 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

• 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.

I use Team Tailor'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.