# Senior Ml Engineer at Whyhirewrong? in London, United…

> Source: https://confidential.careers/job-detail/senior-ml-engineer-whyhirewrong-london

# Senior Ml Engineer

Whyhirewrong? 

** London, United Kingdom ** Full Time ** Engineering Jobs ** United Kingdom ** New

[Apply Now](https://confidential.careers/go/16178122) ** Save 

## Job Description

### 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

### 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.

### 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.

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Posted August 29, 2026