AI & ML Research Engineer for Chip Design & LLMs

European Tech Recruit; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

European Tech Recruit is partnering with a global leader in the semiconductor industry to hire a Research Engineer in London or Cambourne, UK. You will contribute to cutting-edge AI projects spanning applied and fundamental research, with a focus on AI for semiconductor design and optimisation.

Responsibilities include implementing and testing new ML ideas, building prototypes, collaborating with researchers to translate theory into practical systems, and maintaining research tooling and

Qualifications

• Experience implementing machine learning algorithms and techniques.
• Proficiency in Python, C++, or similar programming languages.
• Strong problem-solving skills with the ability to work independently and collaboratively.
• Clear written and verbal communication skills.
• Familiarity with deep learning frameworks (TensorFlow, PyTorch, JAX) advantageous.
• Experience with optimisation, reinforcement learning, or LLMs a plus.
• Exposure to chip design or applied AI research desirable.

Responsibilities

• Implement and test research ideas across machine learning and AI.
• Build prototypes and support experiments for team and company projects.
• Collaborate with researchers to translate theoretical models into practical systems.
• Maintain and improve research infrastructure, tools, and workflows.
• Prepare technical documentation and reports.

Skills

Machine learning

Python

C++

Problem solving

Communication

DL frameworks

Reinforcement learning

LLMs

Deep learning

Tools

TensorFlow

PyTorch

JAX

Job description

European Tech Recruit is partnering with a global leader in the semiconductor industry to hire a Research Engineer in London or Cambourne, UK. You will contribute to cutting-edge AI projects spanning applied and fundamental research, with a focus on AI for semiconductor design and optimisation.

Responsibilities include implementing and testing new ML ideas, building prototypes, collaborating with researchers to translate theory into practical systems, and maintaining research tooling and