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.