Senior ML Engineer
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Foundation Model Leadership Applied AI Research & Systems
- Location: London UK (on-site preferred; remote with monthly visit possible)
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Job Type: Full-time Senior
Compensation: share options
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Our Client: VC-backed AI/ML start-up
Work Authorization
- Must have the right to work in the UK or be able to obtain it
- On-site presence in London preferred
- Remote candidates must commit to at least monthly London visits
- Visa sponsorship not available
About the Opportunity
Our 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.
This is a hands-on technical leadership role focused on architecting optimizing and deploying large-scale foundation models in a high-urgency high-impact environment.
What Youll Do
- Lead research development and production deployment of the foundation model
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Define long-term technical strategy for high-performance ML systems
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Optimize models across diverse hardware environments
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Architect scalable distributed training and inference pipelines
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Build GPU-accelerated components including custom CUDA kernels
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Profile and optimize the full ML stack end-to-end
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Create internal tooling benchmarks and evaluation harnesses
- Work closely with founders to translate product goals into technical roadmaps
Tech Environment
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Python and CUDA C/C
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PyTorch (preferred) or similar deep learning frameworks
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Distributed training and large-scale inference systems
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Cloud platforms (AWS Azure or GCP)
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Modern foundation model architectures (MoE state-space models)
What Were Looking For
- Proven experience designing and implementing large-scale foundation models
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Strong hands-on performance optimization and debugging skills
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Practical experience with distributed training and inference
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Deep knowledge of modern deep learning frameworks
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Experience operating ML systems in production environments
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High urgency ownership mindset and comfort with ambiguity
Nice to Have
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Custom CUDA kernel development
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Internal ML tooling or benchmarking experience
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Containerisation and orchestration exposure
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Embedded or control systems background
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Experience at top-tier AI/ML companies or research labs
Why This Role Stands Out
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Ground-floor role shaping a novel foundation model
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Direct collaboration with founders
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High technical ownership and strategic influence
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Streamlined interview process (2 stages)
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Transparent no-jargon engineering culture
If youve built and optimized foundation-scale models and want real technical ownership in an ambitious AI start-up wed love to meet you...
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
