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. 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 C++/CUDA experience for performance‑critical components (nice to have) Competitive salary, bonus, and meaningful equity Flexible remote/hybrid setup with London/Cambridge/Oxford bases Your work ships to real semiconductor customers and runs inside production chip‑design tools
Machine Learning Engineer (full-time) in Oxford employer: Intellectual Capital Resources
Join a dynamic team where innovation meets collaboration, as we empower our Opto Mechanical Engineers to transform cutting-edge optical concepts into tangible products. Our supportive work culture fosters continuous learning and professional growth, with hands-on opportunities in a state-of-the-art laboratory environment. Located in a vibrant area, we offer competitive benefits and a chance to work alongside industry experts, making this an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Intellectual Capital Resources Recruitment Team
