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.