Research Engineer – Fundamental AI Research
Location: London
Working Model: Hybrid – 3 days onsite
Contract: 12 months | 40 hours/week
About the Role
We are looking for a
Senior Research Engineer
to join a cutting-edge AI research team working on next-generation machine intelligence.
This role sits at the intersection of
AI research and software engineering
, with opportunities to work on
LLMs, reinforcement learning, AI agents, synthetic data and large-scale AI systems
.
You’ll work closely with experienced researchers and engineers, contributing directly to active research projects while building production-quality tools and infrastructure.
Key Responsibilities
- Conduct hands-on AI/ML research and experimentation.
- Develop and evaluate
LLMs and large-scale ML models
.
reinforcement learning environments, AI-agent systems and experimentation frameworks
.
synthetic data, large datasets and complex AI systems
.
- Build robust pipelines, sandboxes and infrastructure for AI research.
- Analyse experiments, investigate why approaches succeed or fail, and translate findings into recommendations.
- Read and apply the latest
AI/ML research papers
.
- Write high-quality Python code and collaborate closely with research and engineering teams.
What We're Looking For
Python
and software engineering skills.
machine learning models at scale
.
PyTorch
and large datasets/models.
- Strong analytical and problem-solving abilities.
- Ability to understand and apply research findings beyond benchmark results.
- Bachelor’s degree in Computer Science, AI/ML, Computer Engineering or a related field, or equivalent experience.
Nice to Have
Generative AI / LLMs and LLM evaluation or post-training
.
- Reinforcement learning and AI-agent/multi-agent systems.
- Synthetic data generation.
- AI research infrastructure or experimentation frameworks.
- Research experience or a Master’s/PhD in AI/ML.
Why This Role?
frontier AI research problems
.
research and hands-on engineering
.
- Work alongside experienced AI researchers and engineers.
- Gain exposure to advanced
LLMs, AI agents and large-scale experimentation
.
- Potential opportunities to contribute to research outputs and publications.
If you're passionate about AI research, machine learning and building systems that push the boundaries of AI, this is an opportunity to work on genuinely challenging problems at the forefront of the field.