Research Engineer

Job Title: Research Engineer - AI \& Machine Learning

Location: London, UK (Hybrid, 3 days onsite)

Contract Length: 12 Months

Full-time: 40 hours per week

About the Role

We are seeking an experienced Research Engineer to join a world-class AI research organisation focused on advancing the next generation of artificial intelligence systems. This role offers a rare opportunity to work at the forefront of machine learning research, helping develop cutting-edge technologies that push the boundaries of large language models, reinforcement learning, synthetic data generation, and multi-agent systems.

The successful candidate will be deeply embedded within a highly collaborative research team, contributing directly to both scientific discovery and the engineering infrastructure required to accelerate AI innovation at scale.

Key Responsibilities

• Conduct cutting-edge research to advance machine learning systems and AI technologies.
• Design and develop methods, tools, and infrastructure that improve the performance and capabilities of large language models.
• Build and maintain robust experimentation environments, research frameworks, and AI development pipelines.
• Create reinforcement learning environments and generate synthetic data to improve model performance.
• Research and develop multi-agent systems that enable collaborative AI workflows.
• Partner closely with researchers, engineers, and cross-functional stakeholders to define research priorities and translate findings into impactful outcomes.
• Communicate research plans, progress, and results clearly to technical and non-technical audiences.
• Develop production-quality code and support the deployment of research innovations.
• Contribute to publications, technical reports, and research initiatives where applicable.

Required Skills \& Experience

• Experience in Machine Learning, Artificial Intelligence, Pattern Recognition, Recommendation Systems, or related fields.
• Proven hands-on experience developing machine learning models at scale.
• Experience working with large language models, including model evaluation, experimentation, post-training, or automated interaction pipelines.
• Strong programming skills in Python.
• Hands-on experience with machine learning frameworks such as PyTorch.
• Experience designing, running, and analysing complex experiments involving large-scale AI models and datasets.
• Demonstrated ability to translate technical insights into practical recommendations and solutions.
• Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, Mathematics, or a related technical field.

Preferred Qualifications

• Direct experience in Generative AI or Large Language Model research.
• Master's degree focused on AI or Machine Learning.
• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
• Experience within leading research labs, technology organisations, or AI-focused environments.

Performance will be measured through

• Meaningful contributions to research initiatives and experimentation.
• Development of reliable and scalable AI infrastructure.
• Scientific rigor in analysing and explaining research outcomes.
• Ability to adapt quickly in a fast-moving research environment.
• Effective collaboration with researchers and engineering teams.
• Delivery of high-quality technical solutions that support research objectives.