# Senior ML Engineer at C&D Talent Advisory in London,…

> Senior ML Engineer at C&D Talent Advisory in London, United Kingdom. Salary: GBP 100 - 150. Category: Engineering Jobs. View full job details and apply now…

# Senior ML Engineer

C&D Talent Advisory

## Job Description

### Senior ML Engineer | Foundation Models & CUDA

TechTree's client is hiring a Senior ML Engineer to help build and scale a novel foundation model for automated software delivery in embedded systems.

This is a deeply technical role for an engineer who has built large-scale foundation models, developed custom CUDA kernels, and scaled distributed ML systems in production.

- Location: London — On-site

- Employment: Full-time

- Estimated compensation: £100,000–£150,000/year + equity

- Level: Mid-Senior / Senior

### What you'll own

- Lead development and production deployment of a large-scale foundation model

- Design and implement custom CUDA kernels for performance-critical workloads

- Optimise training and inference across GPUs and distributed infrastructure

- Architect scalable ML systems with demanding reliability and performance requirements

- Profile and improve data pipelines, training loops, inference, and serving infrastructure

- Evaluate modern architectures including Mixture-of-Experts and state-space models

- Build internal tooling, benchmarks, evaluation systems, and observability infrastructure

- Work closely with founders on technical strategy and optimisation priorities

- Improve model quality, latency, scalability, and compute efficiency

### What we're looking for

- Deep professional experience with CUDA C/C++

- Strong Python skills

- Experience building and shipping large-scale foundation models

- Proven custom CUDA kernel developmentExperience with distributed training and inference

- Strong knowledge of modern deep learning architectures

- Production expertise with PyTorch or another major ML framework

- Experience operating ML workloads on AWS, Azure, or GCP

- Strong understanding of ML observability, evaluation, and production SLOs

- Experience delivering complex systems in fast-moving environments

### Strong advantages

- Built a foundation model from 01

- Early-stage AI startup or top-tier research lab experience

- Experience with MoE, state-space models, and advanced inference optimisation

- Built tooling that significantly improved engineering or research productivity

- Experience optimising large-scale GPU workloads for cost and performance

### Why consider this opportunity?

- Work on a genuinely novel foundation-model problem

- Significant technical ownership from day one

- Direct influence over architecture and ML strategy

- Work closely with an experienced founding team

- Competitive compensation plus equity

Posted August 25, 2026

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