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  "employer_name": "C&D Talent Advisory",
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  "job_description": "Foundation Model Leadership | Applied AI Research & Systems\n• Location: London, UK (on-site preferred; remote with monthly visit possible)\n• Job Type: Full-time | Senior\n• Compensation: £100,000 – £200,000 + share options\n• Our Client: VC-backed AI/ML start-up\n\nWork Authorization\n• Must have the right to work in the UK or be able to obtain it\n• On-site presence in London preferred\n• Remote candidates must commit to at least monthly London visits\n• Visa sponsorship not available\n\nAbout the Opportunity\n\nOur client is developing a novel foundation model to enable fully automated, unsupervised software delivery in embedded control systems. As a VC-backed, early-stage AI company based in West London, they are building the core ML stack from first principles.\n\nThis is a hands-on technical leadership role focused on architecting, optimizing, and deploying large-scale foundation models in a high-urgency, high-impact environment.\n\nWhat You'll Do\n• Lead research, development, and production deployment of the foundation model\n• Define long-term technical strategy for high-performance ML systems\n• Optimize models across diverse hardware environments\n• Architect scalable distributed training and inference pipelines\n• Build GPU-accelerated components, including custom CUDA kernels\n• Profile and optimize the full ML stack end-to-end\n• Create internal tooling, benchmarks, and evaluation harnesses\n• Work closely with founders to translate product goals into technical roadmaps\n\nTech Environment\n• Python and CUDA C/C++\n• PyTorch (preferred) or similar deep learning frameworks\n• Distributed training and large-scale inference systems\n• Cloud platforms (AWS, Azure, or GCP)\n• Modern foundation model architectures (MoE, state-space models)\n\nWhat We're Looking For\n• Proven experience designing and implementing large-scale foundation models\n• Strong hands-on performance optimization and debugging skills\n• Practical experience with distributed training and inference\n• Deep knowledge of modern deep learning frameworks\n• Experience operating ML systems in production environments\n• High urgency, ownership mindset, and comfort with ambiguity\n\nNice to Have\n• Custom CUDA kernel development\n• Internal ML tooling or benchmarking experience\n• Containerisation and orchestration exposure\n• Embedded or control systems background\n• Experience at top-tier AI/ML companies or research labs\n\nWhy This Role Stands Out\n• Ground-floor role shaping a novel foundation model\n• Direct collaboration with founders\n• High technical ownership and strategic influence\n• Streamlined interview process (2 stages)\n• Transparent, no-jargon engineering culture\n\nIf you've built and optimized foundation-scale models and want real technical ownership in an ambitious AI start-up, we'd love to meet you...",
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  "employer_website": "https://cdtalentadvisory.com",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1772409600,
  "job_posted_at_datetime_utc": "2026-03-02T00:00:00.000Z"
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