Senior AI Research Engineer (ML, LLMs & Semiconductors)

European Tech Recruit; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

European Tech Recruit is seeking a Research Engineer for a global leader in semiconductor AI. You will work on advanced ML technologies including large language models, reinforcement learning, optimisation, and generative AI to help shape AI-enabled semiconductor design and systems.

You will bridge research and implementation, collaborating with leading AI experts to deliver practical software and tooling, and contribute to experimental pipelines and technical reports.

Qualifications

• PhD with at least 2+ years of post‑doc or research experience.
• Publications at top ML/NLP conferences (e.g., NeurIPS, ICML, EMNLP, ICCV).
• Experience with LLMs, RL, optimisation, or generative AI.
• Experience developing research infrastructure or ML tooling.
• Knowledge of distributed training, GPU computing, or CUDA.
• Exposure to semiconductor technologies, chip design, or applied AI research.
• Commercial or research experience implementing ML algorithms.
• Strong programming skills in Python; C++ experience advantageous.
• Experience with PyTorch, TensorFlow, JAX, or similar DL frameworks.

Responsibilities

• Implement and evaluate novel ML algorithms and AI research concepts.
• Develop prototypes and proof‑of‑concept systems to support research.
• Collaborate with researchers to translate ideas into software solutions.
• Build and enhance research infrastructure, pipelines, and tooling.
• Analyse experiments and contribute to reports and documentation.
• Stay informed of emerging AI research and suggest approaches.

Skills

PhD

Post‑doc experience

ML research

Python

C++

Research collaboration

Communication

Problem solving

Teamwork

Deployment mindset

Education

PhD in ML/AI/CS

Tools

PyTorch

TensorFlow

JAX

CUDA

Python

C++

Job description

European Tech Recruit is seeking a Research Engineer for a global leader in semiconductor AI. You will work on advanced ML technologies including large language models, reinforcement learning, optimisation, and generative AI to help shape AI-enabled semiconductor design and systems.

You will bridge research and implementation, collaborating with leading AI experts to deliver practical software and tooling, and contribute to experimental pipelines and technical reports.