European Tech Recruit
Senior Research Engineer - AI & Machine Learning
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
We are supporting a pioneering technology organisation seeking a Senior Research Engineer to lead complex AI research and engineering initiatives.
This position sits at the intersection of advanced research and practical engineering. You will help transform ambitious research ideas into scalable, robust systems, with projects spanning AI-driven semiconductor design and fundamental machine learning research.
Current areas of focus include LLMs, Reinforcement Learning, Generative Models, and optimisation techniques for deep learning.
The Role
As a senior member of the team, you will take technical ownership of challenging research projects while working closely with researchers and engineers. You will guide implementation decisions, improve research infrastructure, and ensure that experimental systems can perform reliably at scale.
You will also mentor less-experienced colleagues and contribute to a collaborative environment built around technical excellence, scientific curiosity, and practical impact.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Lead the engineering delivery of complex machine learning and AI research projects.
- Translate research objectives into robust, scalable technical solutions.
- Implement and optimise advanced machine learning algorithms.
- Work closely with researchers to define technical priorities and project direction.
- Improve the performance, reliability, and scalability of research prototypes.
- Mentor junior engineers and provide technical guidance to research colleagues.
- Maintain and enhance research infrastructure, development tools, and engineering workflows.
- Contribute to technical publications, research documentation, and knowledge sharing.
- Track emerging AI research and introduce relevant engineering practices and technologies.
Essential Experience
- Significant experience implementing and optimising machine learning algorithms and systems.
- Advanced programming skills in Python, C++ or a comparable language.
- Demonstrated experience leading technically complex engineering projects.
- Ability to work independently while collaborating effectively with multidisciplinary research teams.
- Previous experience mentoring junior engineers or technical colleagues.
- Strong analytical and problem-solving capabilities.
- Clear written and verbal communication skills, including experience producing technical documentation.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Background
Experience in one or more of the following areas would be particularly valuable:
- Large language models.
- Reinforcement learning.
- Deep-learning optimisation.
- Generative models.
- PyTorch, TensorFlow, or JAX.
- Scalable system architecture and deployment.
- AI applications within semiconductor or chip design.
- Applied or fundamental AI research.
- Technical publications or open-source contributions.
If you are an experienced AI engineer who enjoys turning advanced research into high-quality, scalable systems, apply now or email nk@eu-recruit.com
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills