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.