ML Engineer: Chip Verification & Production Pipelines

Intellectual Capital Resources; Oxford; Hybrid; GBP 59,000 - 99,000; Full time

Benefits offered by this job

Bonus

Equity

Remote/hybrid setup

Learning & development

Job summary

Intellectual Capital Resources is hiring a Machine Learning Engineer to build and deploy production ML systems for complex IC verification. The role emphasizes end-to-end development from data ingestion to model deployment, with strong Python and PyTorch/JAX skills and experience in data pipelines.

You will work in a deep-tech startup setting with a flexible remote/hybrid setup centered around London, Cambridge, and Oxford, collaborating with researchers and customers on real workflows.

Qualifications

• First degree in a relevant STEM subject.
• 3+ years of industry experience building production ML systems.
• Expertise in Python and PyTorch/JAX for training, inference, and model export.
• Experience building data pipelines for complex scientific or engineering datasets.
• Solid software engineering fundamentals, including testing, CI/CD, and clean APIs.
• Experience owning end-to-end ML systems from data ingestion to model deployment.
• Clear communication skills, including writing specs, documenting APIs, and presenting to customers.
• Familiarity with circuit simulation or EDA tools is a plus.
• C++/CUDA experience for performance-critical components is a plus.
• Experience in a startup or fast-moving team environment.

Responsibilities

• Build next-generation machine learning tools that transform how complex integrated circuits are verified.
• Accelerate simulation coverage and reduce tapeout risk for chip design teams.
• Own end-to-end ML systems from data ingestion through model deployment.
• Build and maintain data pipelines for scientific and engineering datasets.
• Develop training, inference, and model export workflows using Python and PyTorch/JAX.
• Write specifications, document APIs, and present technical work to customers.
• Collaborate closely with researchers and work with real customer workflows.
• Contribute to production chip-design tools used by semiconductor customers.

Skills

Python

PyTorch

JAX

Data pipelines

CI/CD

Testing & APIs

End-to-end ML systems

Communication skills

Startup environment

C++/CUDA (plus)

Education

Bachelor's degree in STEM

Tools

CUDA

CI/CD tooling

APIs

Job description

Intellectual Capital Resources is hiring a Machine Learning Engineer to build and deploy production ML systems for complex IC verification. The role emphasizes end-to-end development from data ingestion to model deployment, with strong Python and PyTorch/JAX skills and experience in data pipelines.

You will work in a deep-tech startup setting with a flexible remote/hybrid setup centered around London, Cambridge, and Oxford, collaborating with researchers and customers on real workflows.