At a Glance
- Tasks: Conduct groundbreaking research in machine learning and develop innovative algorithms.
- Company: Join Huawei, a global leader in ICT with a commitment to innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic, fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI research while collaborating with top scientists worldwide.
- Qualifications: PhD in relevant field and strong publication record in top-tier conferences.
The predicted salary is between 60000 - 80000 £ per year.
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 helps 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’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 Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge – Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei’s Gold Medals and Best Technology Breakthroughs.
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.
Key Responsibilities:
- 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.
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.
Required:
- 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.
- Passion for bridging fundamental AI research with impactful applications.
Research Scientist - Machine Learning (Contractor) in London employer: Huawei R&D UK
Huawei Research and Development UK Limited is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among a diverse team of world-class scientists and engineers. Located in London, employees benefit from access to cutting-edge research opportunities in machine learning and artificial intelligence, alongside a strong commitment to professional growth through mentorship and engagement with the broader research community. With a focus on impactful applications and a culture that values scientific excellence, Huawei provides a unique platform for those looking to make significant contributions to the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - Machine Learning (Contractor) in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at conferences. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and research. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and discussing your past work. We all know that confidence is key, so get comfortable talking about your achievements!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Research Scientist - Machine Learning (Contractor) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Scientist in Machine Learning. Highlight your relevant experience, especially any research you've done in reinforcement learning or AI. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any exciting projects or publications that showcase your expertise.
Showcase Your Research Impact:When detailing your research experience, focus on the impact of your work. Mention any publications in top-tier conferences and how your contributions have advanced the field. We love seeing candidates who can bridge research with real-world applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Huawei R&D UK
✨Know Your Research Inside Out
Make sure you can discuss your past research projects in detail, especially those related to reinforcement learning and Bayesian optimisation. Be prepared to explain your methodologies, findings, and how they can apply to Huawei's goals.
✨Showcase Your Technical Skills
Brush up on your Python skills and be ready to demonstrate your proficiency with ML frameworks like PyTorch or TensorFlow. You might be asked to solve a coding problem or discuss algorithms, so practice common ML concepts and coding challenges.
✨Understand Huawei's Vision
Familiarise yourself with Huawei's mission of creating a fully connected, intelligent world. Think about how your work can contribute to this vision and be ready to discuss how your research aligns with their strategic focus on innovation and customer-centric solutions.
✨Prepare for Collaborative Discussions
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any mentoring roles you've had and how you’ve contributed to a positive scientific culture in your previous positions.