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About the Company

Our Client is a venture-backed AI startup building a next-generation foundation model to enable fully autonomous software delivery for embedded control systems.

This is an opportunity to join at an early stage work directly with the founders and help shape a technology designed to redefine how software is built optimized and deployed.

Location: London United Kingdom (Remote with monthly office visits ideally onsite)

• Employment Type: Full-time
• Level: Mid-Senior Level
• Compensation: 00 Equity (Share Options)
• Work Authorization: Existing UK work authorization required

About the Role

Were looking for a Senior Machine Learning Engineer (Foundation Models) to lead the development optimisation and production deployment of our next-generation foundation model.

This is a deeply technical hands-on role where youll architect large-scale ML systems optimise distributed training and inference build GPU-accelerated infrastructure and work directly with founders to solve complex engineering challenges.

If youre excited by cutting-edge AI research production-scale machine learning and building systems that push the limits of modern deep learning wed love to hear from you.

What Youll Do

Foundation Model Development;

• Lead the research development and deployment of large-scale foundation models
• Define long-term technical strategy for high-performance ML systems
• Build scalable training and inference infrastructure
• Own model quality performance and reliability

ML Infrastructure & Optimisation;

• Optimise distributed training and inference pipelines
• Design GPU-accelerated systems including custom CUDA kernels when needed
• Profile and optimise data pipelines training loops inference and deployment
• Build internal tooling benchmarking systems and evaluation frameworks

Architecture & Collaboration;

• Design scalable ML infrastructure and solution architectures
• Evaluate and implement state-of-the-art ML technologies
• Work closely with founders to translate product goals into technical roadmaps
• Drive engineering excellence across the ML platform

What Were Looking For

Must Have;

• Extensive experience designing and building large-scale foundation models
• Strong Python and CUDA C/C expertise
• Deep knowledge of PyTorch (preferred) or another major deep learning framework
• Experience optimising and debugging deep learning models
• Experience with distributed training and large-scale inference
• Experience building ML systems on AWS Azure or GCP
• Strong GPU optimisation experience
• Experience building production ML infrastructure
• Excellent system design skills
• Delivery-focused mindset with strong ownership
• Comfortable solving ambiguous high-impact problems
• Able to work onsite in London or visit the office at least once per month

Nice to Have;

• Experience with Mixture of Experts (MoE) or State Space Models
• Custom CUDA kernel development
• ML systems operating under strict production SLOs
• Experience building internal ML tooling and benchmarking frameworks
• Startup or research lab experience shipping foundation models
• Experience scaling distributed GPU clusters

What We Offer

• 00 salary
• Meaningful equity (Share Options)
• Opportunity to build a first-of-its-kind foundation model
• Direct collaboration with founders
• No take-home assignments or live coding interviews
• Transparent low-ego engineering culture
• High ownership and technical autonomy
• Office-first environment with flexibility for exceptional candidates

If you want to help build the next generation of foundation models and solve some of the hardest ML problems in production wed love to hear from you...