At a Glance
- Tasks: Join us to develop cutting-edge AI models and optimise multimodal systems.
- Company: Be part of Huawei's innovative R&D team in the heart of London.
- Benefits: Enjoy 33 days off, private medical insurance, and a supportive work culture.
- Other info: Dynamic environment with opportunities for personal growth and learning.
- Why this job: Make a real impact in AI while working on exciting projects with top-tier talent.
- Qualifications: Bachelor's degree in a relevant field and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
Overview
London Office of UKRD is one of Huawei's core global R&D institutions, dedicated to advancing artificial intelligence.
This permanent, full‑time position is located in King's Cross, London.
Responsibilities
- Frontier Technical Breakthroughs
- Develop Vi T 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 job holder 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.
Qualifications
- 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 Py Torch and deep learning frameworks.
- Core Competencies
- Strong algorithm development and implementation skills.
- Solid mathematical and logical reasoning ability.
- Excellent cross‑functional communication and collaboration skills.
- Traits
- Self‑driven and highly motivated toward advancing artificial intelligence (AI).
- Strong resilience and the ability to tackle challenging technical problems.
- Desired Experience
- Strong track record of publications in top‑tier AI or computer vision conferences (CVPR, ICCV, ECCV, Neur IPS, 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.
Benefits
- 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.
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We think you need these skills to ace Research Scientist - Computer Vision (Perm)
Python Programming
PyTorch
Deep Learning Frameworks
Algorithm Development
Mathematical Reasoning
Logical Reasoning
Cross-Functional Communication