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About the Role

The Reinforcement Learning Team at the London Office is seeking a highly skilled Machine Learning Scientist / Engineer to advance the state-of-the-art in reinforcement learning (RL), Bayesian optimisation (BO), AI agents, large language models (LLMs), and vision-language models (VLMs). This role involves working at the intersection of core research and applied innovation to solve complex, real-world AI challenges.

Responsibilities

Design, implement, and evaluate novel algorithms and architectures in RL, BO, AI agents, LLM tuning, or VLMs for reasoning, planning, and decision-making under uncertainty.
Translate cutting-edge research concepts into working prototypes, scalable systems, and applications.
Conduct original research and engage with the scientific community through publications in top-tier conferences or open-source contributions.
Partner with multidisciplinary teams to integrate research models into production environments and broader strategic initiatives.
Drive technical problem-solving across diverse or emerging domains outside your primary area of expertise when business needs evolve.

Requirements

Master’s or PhD (completed or in progress) in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
Demonstrated expertise in AI/ML topics, specifically Reinforcement Learning or LLM tuning/alignment (evidenced by peer-reviewed publications, open-source code, or technical portfolio projects; standard coursework alone is not sufficient).
Strong mathematical understanding of core AI approaches.
High proficiency in Python.
Hands-on experience with PyTorch (or JAX/TensorFlow).
Proven track record of technical versatility—ability to quickly adapt, learn, and deliver impact in new domains or projects outside your core specialization.
Ability to thrive in a fast-paced, research-driven environment with ambiguous, evolving objectives.
First-author publications in top-tier venues (NeurIPS, ICML, ICLR, JMLR, etc.).
Hands-on experience with RL fine-tuning frameworks (e.g., TRL, verl) and distributed multi-GPU training.
Active GitHub portfolio demonstrating applied ML/AI implementations or system engineering.

Skills

Reinforcement Learning (RL)
Bayesian Optimisation (BO)
AI agents
Large Language Models (LLMs)
Vision-Language Models (VLMs)
Python
PyTorch
JAX
TensorFlow

Location

London

Work Type

Full-time

Experience Level

Mid-level
Senior

Education Level

Master's Degree
PhD

About the Company

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.
Huawei has 207,000 employees and operates 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.
Huawei Research and Development UK Limited works in close partnership with leading academic institutions in the UK to develop and refine the latest technologies.
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.