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. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.

 For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.

This strategic focus is a reflection of our core values:

• staying customer-centric,
• inspiring dedication,
• persevering,
• growing by reflection.

Huawei Research and Development UK Limited Overview

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. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. 

Job Summary

The Huawei Consumer Cloud service (CBG Cloud) team is seeking highly skilled and motivated Research Scientists/Engineers with expertise in LLMs, NLP, Knowledge Graphs and Agents, preferably emphasis on LLM evaluation methodologies. In this role, you will play a crucial part in developing robust and comprehensive evaluation frameworks for our state-of-the-art LLMs, ensuring their safety, reliability, fairness, and performance across diverse tasks and applications. You'll contribute to cutting-edge research, design novel metrics, build scalable evaluation pipelines, and provide critical insights that directly impact the quality and deployment of our foundational AI models. The CBG Cloud team at London Research Centre is committed to providing a full-scenario, high-quality smart life experience for hundreds of millions of users by enhancing the AI abilities in our products like Huawei Video, Music, Reading, Browser and Game, and we would like you to help us achieve this.

Key Responsibilities:

• Work to solve challenges and conducting cutting-edge applied research relating to our businesses, i.e. Video, Music, Reading, Browser, Game.
• Carry out literature review and stay updated on the state-of-the-art frameworks or models regarding LLMs, NLP, Knowledge Graphs, Agent and ML/DL.
• Design, develop, and implement AI/ML solutions to support research projects and initiatives. Research and propose novel quantitative and qualitative metrics to assess LLM capabilities and limitations, moving beyond traditional benchmarks to capture nuanced model behaviors.
• Conduct experiments on LLMs fine-tuning, prompting, model deployment, evaluation etc., and analyze results, and iterate on solutions to improve performance, effectiveness and robustness.
• Develop and optimize scalable and automated evaluation pipelines for continuous integration and monitoring of LLM performance.
• Collaborate with cross-functional teams, and provide technical guidance and support to team members, fostering a collaborative and innovative environment.
• Contribute to research publications, presentations, and intellectual property development as appropriate.

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:
  • PhD degree in Computer Science, Mathematics and Engineering or related subjects.
  • Strong foundational understanding and hands-on experience with Large Language Models, especially LLMs training, fine-tuning and applications are highly desirable.
  • A track record of research excellence, with publications in TOP tier Computing/NLP/AI/ML conferences or journals, such as NeurIPS, ACL, ICLR etc.
  • Strong communication skills, both written and verbal, with the ability to articulate complex technical concepts clearly. A collaborative mindset, capable of working effectively in multidisciplinary teams and contributing positively to team dynamics.
  • Exceptional analytical and problem-solving skills, with a rigorous, detail-oriented approach to research and experimentation.

What we offer 

• 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