At a Glance
- Tasks: Lead the development of cutting-edge foundation models and optimise ML systems.
- Company: Join a venture-backed AI startup shaping the future of software delivery.
- Benefits: Competitive salary, equity options, and flexible remote work with office visits.
- Other info: Dynamic startup culture with high ownership and career growth opportunities.
- Why this job: Make a real impact in AI and collaborate directly with founders.
- Qualifications: Extensive experience in large-scale ML systems and strong Python/CUDA skills.
The predicted salary is between 100000 - 150000 £ per year.
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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: £100,000-£150,000 + Equity (Share Options)
- Work Authorization: Existing UK work authorization required
About The Role
We're 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 you'll architect large-scale ML systems, optimize distributed training and inference, build GPU-accelerated infrastructure, and work directly with founders to solve complex engineering challenges.
If you're excited by cutting-edge AI research, production-scale machine learning, and building systems that push the limits of modern deep learning, we'd love to hear from you.
What You'll 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 We're Looking For
- Must Have
- Extensive experience designing and building large‑scale foundation models
- Strong Python and CUDA C/C++ expertise
- Deep knowledge of Py Torch (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 (Mo E) 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
- 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, we'd love to hear from you.
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Senior ML Engineer | London in Glasgow employer: C&D Talent Advisory - Academy
Join a fast-growing PropTech SaaS company that is revolutionising the management of commercial real estate across Europe. With a competitive salary, performance-based bonuses, and a hybrid working model, you will thrive in an international and collaborative culture that values ownership and personal growth. The company offers ample opportunities for professional development, including an annual learning budget and engaging team events, making it an excellent employer for those seeking meaningful and rewarding careers.
Contact Details:
C&D Talent Advisory - Academy Recruitment Team
