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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.
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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.
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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.
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