Machine Learning Engineer

I’m working with a deep‑tech startup specialising in machine learning, building next‑generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk — giving chip design teams a step‑change in capability. 

This is a high‑impact opportunity for a Machine Learning Engineer looking to make a difference in silicon.

What they’re looking for:

• First degree in relevant STEM subject
• 3+ years in industry building production ML systems
• Python + PyTorch/JAX expertise for training, inference, and model export
• Experience building data pipelines for complex scientific/engineering datasets
• Solid software engineering fundamentals — testing, CI/CD, clean APIs
• End‑to‑end ML system ownership from data ingestion to model deployment
• Clear communication — writing specs, documenting APIs, presenting to customers
• Familiarity with circuit simulation or EDA tools (nice to have)
• C++/CUDA experience for performance‑critical components (nice to have)
• Startup or fast‑moving team experience

Why consider it:

• Competitive salary, bonus, and meaningful equity
• Flexible remote/hybrid setup with London/Cambridge/Oxford bases
• Support for learning and development
• Close collaboration with researchers and exposure to real customer workflows
• Your work ships to real semiconductor customers and runs inside production chip‑design tools

Please contact Chris Amison for more information.