Research Scientist -Machine Learning

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Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. Huawei has a large global presence with a focus on innovation and collaboration with academic institutions. The company’s vision is to bring digital to every person, home and organization for a fully connected, intelligent world.

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. The role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities.

This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting-edge ideas into working prototypes and real-world applications.

• Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and others).
• Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding.
• Design and implement new algorithms for efficient decision-making under uncertainty with applications to chemistry, physics, open math problems, and robotics.
• Collaborate with cross-functional teams to integrate research outputs into scalable systems and real-world use cases.
• Explore novel ways to align and enhance AI agents for complex, open-ended tasks.
• Actively engage with the broader research community through publications, talks, and open-source contributions.
• Mentor junior researchers and contribute to the scientific culture of the team.

• Required:
• PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeurIPS and the like.
• Deep expertise in at least two of the following: reinforcement learning, Bayesian optimisation, AI agents, LLMs, VLMs.
• Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX).
• Ability to work in a fast-paced, research-oriented environment with ambiguous and evolving goals.
• Excellent problem-solving, collaboration, and communication skills.
• Ability to lead a team of junior researchers and engineers.
• Passion for bridging fundamental AI research with impactful applications.

• 33 days annual leave entitlement per year (including UK public holidays)
• Group Personal Pension
• Life insurance
• Private medical insurance
• Medical expense claim scheme
• Employee Assistance Program
• Cycle to work scheme
• Company sports club and social events
• Additional time off for learning and development

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: Telecommunications

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