Machine Learning Researcher

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 Researcher who wants high-autonomy and for their research to matter in silicon. 

What they’re looking for:

• Degree in Physics/Engineering/Electronics and a PhD in Machine Learning
• Strong Python + PyTorch/JAX skills
• Publication record in ML or EDA venues
• Ability to move between research and implementation
• Clear communication across ML and circuit‑design audiences
• Experience modelling dynamic systems
• Familiarity with SPICE data and analogue circuits
• Knowledge of behavioural modelling languages or EDA tools
• Startup or applied‑research experience

Why consider it:

• Competitive salary, bonus, and meaningful equity
• Flexible remote/hybrid working with London/Cambridge/Oxford bases
• Direct access to real customers testing your models on real silicon
• Small, senior team where your work ships and has visible impact

Please contact Chris Amison for more information.