A unique opportunity has arisen for a Research Scientist in On-Device AI to join a leading-edge Artificial Intelligence Centre in Cambridge.

This is a permanent, full-time role ideal for a passionate researcher or engineer with a strong background in Machine Learning and a keen interest in efficient AI systems for mobile and embedded platforms. You'll be joining a world-class team focused on developing and commercialising next-generation AI solutions-including on-device LLMs, VLMs, and adaptive inference systems-that will power millions of consumer devices globally.

Key Responsibilities for a Research Scientist based in Cambridge:

• Drive and contribute to research in efficient machine learning, including on-device large language and vision-language models
• Collaborate with cross-functional product and research teams to integrate ML solutions into real-world consumer devices
• Design and implement novel ML algorithms and mobile ML systems with a focus on performance, scalability, and efficiency
• Translate research into practical solutions, contributing to the development of Samsung's next-gen AI-powered products
• Publish your findings in top-tier conferences and journals (e.G. NeurIPS, ICLR, ICML)
• Document research progress, contribute to patent filings, and support knowledge sharing within the team
• Participate in a collaborative, learning-focused environment that values innovation, openness, and personal growth

Skills & Experience:

• PhD in Computer Science, Electrical Engineering, or equivalent industry research experience
• Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX)
• Experience in efficient ML techniques: quantization, pruning, distillation
• Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU)
• Strong skills in Python, C/C++, and GNU/Linux environments
• Distributed and multi-GPU training experience
• Proficient with Git and GitHub workflows

Why Join Us?

• Be part of an elite, forward-thinking AI team focused on real-world innovation
• Work at the forefront of AI commercialisation, where your research will impact millions of global users
• A competitive salary and benefits package
• Access to state-of-the-art tools and infrastructure

If you're passionate about shaping the future of AI in embedded and mobile systems, this role is your chance to make a real-world impact while continuing to grow as a top-tier researcher.

APPLY NOW for the role of Research Scientist based in Cambridge, Send your CV to or call Rachael on to find out more.