Research Scientist/Engineer - General Decision & Control Agent in London

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world.

Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services.

Job Summary London Office of UKRD is dedicated to researching and building sustainable, generalizable and evolvable Agent systems. We believe that enabling models to operate stably over extended periods across diverse task environments with continuous self-iterative optimization is an essential path toward artificial general intelligence. We are seeking passionate, creative talents with expertise in Agents and reinforcement learning to join our team and conduct cutting-edge research together.

• Key Responsibilities
• Agent Memory: Participate in the design and development of Agent memory systems to equip Agents with ultra-long context processing capabilities and address memory degradation issues in long-running execution environments.
• Agent Self-Evolution: Work on building self-evolution capabilities for Agents. Explore unified representation and optimisation techniques for Agent Harness to realise continuous evolution of the Agent Harness framework.
• Agentic RL: Investigate agent optimisation techniques based on parametric and non-parametric reinforcement learning, and build collaborative update pipelines linking Agent policy models and Agent Harness.

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

• Person Specification
• Required: Solid engineering implementation skills OR profound theoretical foundations (candidates must excel in at least one of the two, with promising potential in the other). In-depth theoretical understanding or hands-on practical experience in related fields including Agents, LLM reasoning and reinforcement learning. Commitment to sufficient working hours: full-time researchers work five days per week; interns are required to work 2–3 days per week for a minimum duration of six months.
• Desired: First-author publications at top-tier conferences or journals including ICLR, NeurIPS, ICML, ACL, EMNLP and so on. High-citation research papers or influential open-source Agent projects. Outstanding rankings in relevant competitions such as Kaggle and ARC-AGI.