Senior Research Engineer

European Tech Recruit; Slough; On-site; GBP 90,000 - 125,000; Full time

Job summary

European Tech Recruit is assisting a global semiconductor leader in recruiting a Senior Research Engineer for onsite roles in Cambridge or London, UK. You will bridge research and implementation, advancing ML and AI to power next‑gen semiconductor design and AI systems.

The role emphasizes building prototypes, collaborating with AI researchers, and contributing to practical software that scales research ideas into real-world solutions.

Qualifications

• PhD with 2+ years post-doc or research exp.
• Publications at top ML or NLP conferences (e.g., NeurIPS, ICML, EMNLP).
• 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 machine learning algorithms.
• Strong programming skills in Python; C++ is advantageous.
• Experience with PyTorch, TensorFlow, or JAX.

Responsibilities

• Implement and evaluate novel ML algorithms and AI research concepts.
• Develop prototypes and proof-of-concept systems for research initiatives.
• Collaborate with researchers to translate ideas into practical software solutions.
• Build and enhance research infrastructure, pipelines, and internal tooling.
• Analyse experimental results and contribute to technical reports and docs.
• Stay informed of emerging AI research and advise on new approaches.

Skills

PhD

ML research

LLMs

Reinforcement Learning

CUDA

PyTorch

TensorFlow

Python

C++

Education

PhD in relevant field

Tools

ML tooling

Job description

Senior Research Engineer

Cambridge or London, UK (100% Onsite)

Our client is a global leader in semiconductor innovation, developing advanced technologies that power billions of smart devices worldwide. With significant investment in artificial intelligence research, the company is driving the next generation of AI-enabled computing by combining world-class research with real-world engineering.

This is an exciting opportunity for a Research Engineer to join a collaborative team where cutting‑edge ideas become practical solutions. As a Research Engineer, you'll work on advanced machine learning technologies including large language models, reinforcement learning, optimisation, and generative AI, helping shape future semiconductor design and AI systems.

If you're a Research Engineer looking to bridge research and implementation while working alongside leading AI experts, this is an opportunity to make a genuine impact.

Key Responsibilities

• Implement and evaluate novel machine learning algorithms and AI research concepts.
• Develop prototypes and proof‑of‑concept systems to support research initiatives.
• Collaborate with researchers to translate theoretical ideas into practical software solutions.
• Build and enhance research infrastructure, experimentation pipelines, and internal tooling.
• Analyse experimental results and contribute to technical reports and documentation.
• Stay informed of emerging AI research and recommend new approaches where appropriate.

Required Experience & Skills

• PhD with at least 2+ years relevant post-doc or research exp.
• Published at top ML or NLP conferences such as NeurIPS, ICML, EMNLP, ICCV etc.
• Experience with Large Language Models (LLMs), Reinforcement Learning, optimisation techniques, 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 machine learning algorithms.
• Strong programming skills in Python; C++ experience is advantageous.
• Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks.

Why Apply?

• Join a world‑class AI research team working on cutting‑edge machine learning technologies.
• Play a key role in applying AI to next‑generation semiconductor innovation.
• Work alongside experienced researchers and engineers in a highly collaborative environment.
• Excellent opportunities for technical development and long‑term career progression.

Recruiter's Note

We're looking for candidates who enjoy building real‑world AI systems from cutting‑edge research rather than purely publishing papers. Candidates with hands‑on experience implementing modern deep learning techniques and a passion for solving complex engineering challenges will thrive in this environment.

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (about-us/privacy-notice/).