Machine Learning Engineer

Intellectual Capital Resources Limited
Oxford, UK
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) C++ (Programming Language) Nvidia CUDA Continuous Integration Electronic Design Automation Python (Programming Language) Machine Learning Data Ingestion Pytorch Machine Learning Operations Data Pipelines

Requirements

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

Benefits & conditions

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

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Good distractions

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