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.