Research Scientist -Machine Learning

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. This 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.

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• 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.
  

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• Required:
  
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  • 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.
    
  
  

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• 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