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

London Office of UKRD is one of Huawei’s core global R&D institutions, dedicated to breaking frontiers in artificial intelligence. Backed by an international research team and abundant computing resources, the center focuses on core research directions including multimodal understanding and generation, vision-language large models, and embodied intelligence. This is a permanent, full-time position located in the tech hub of King's Cross, London.

Key Responsibilities:

Frontier Technical Breakthroughs

－Develop ViT and multimodal large model architectures with improved reasoning and efficiency

－Advance multimodal alignment, representation learning, and long-context modeling

－Explore scalable training methods for large multimodal models

－Optimize model architectures for generalization and performance

Data Ecosystem Construction

－Process large-scale multimodal data across images, videos, audio, and text

－Build pipelines for data cleaning, filtering, annotation, and quality control

－Construct and maintain datasets with versioning and reproducibility

－Optimize data mixtures and sampling strategies for model training

－Improve data quality through feedback-driven curation loops

MLLM Systems & Infrastructure

－Build distributed training systems for large-scale multimodal models

－Optimize GPU utilization, cluster efficiency, and resource scheduling

－Develop open-source training frameworks for scalable model development

－Engineer training, inference, and serving infrastructure

－Improve scalability, stability, and performance of model systems

Business Value Delivery

－Integrate multimodal capabilities into assistant and content generation scenarios

－Translate research into production and user-facing applications

－Collaborate with product and engineering teams to deploy and iterate models

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:

Essential Requirements:

－Academic Background: Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related technical disciplines.

－Technical Skills: Proficient in Python programming with strong hands-on experience in PyTorch and deep learning frameworks.

－Core Competencies: Strong algorithm development and implementation skills, solid mathematical and logical reasoning ability, and excellent cross-functional communication and collaboration skills.

－Traits: Self-driven and highly motivated toward advancing artificial intelligence (AI), with strong resilience and the ability to tackle challenging technical problems.

Desired:

－Strong track record of publications in top-tier AI or computer vision conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR)

－Hands-on experience in large-scale model pre-training or fine-tuning

－High-impact open-source projects or internship experience in leading technology companies within CV, NLP, or multimodal domains

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