Computer Vision – Principal Scientist

Our world-leading Laboratory is seeking an experienced Principal Scientist to lead our work in the field of trustworthy AI, with a focus on large language models (LLMs) and AI agents. You will lead a team of data and AI scientists, expand capabilities within the department, prepare technical proposals and help define our strategic priorities, whilst engaging with stakeholders across government, industry and academia. You will collaborate with scientists and engineers from across NPL and externally to solve problems. You will mentor and develop early career staff to build capability to meet future needs.

You will develop detailed technical knowledge in trustworthy AI, including general aspects of risk and quality management, testing and assessment of machine learning algorithms, evaluation of LLMs and AI agents, computer vision methods, and the generation and manipulation of synthetic or simulated data for benchmarking. You will also lead the application of machine learning, deep learning, natural language processing and computer vision methods to a wide range of measurement problems, working collaboratively with scientists across NPL and externally.

We work in a hybrid way, with a mix of remote and office working. We strive to offer a great work life balance – if you are looking for full time, part time or flexible options, we will try to make this work where possible. This will be dependent on the kind of role you do and business needs.

We believe that diversity and unique perspectives are key to the success of our science and engineering projects. For this role, we particularly encourage applications from candidates underrepresented in STEM disciplines, in particular women, disabled, black, Asian and minority ethnic candidates, as well as Armed Forces service leavers looking to transition into the civilian workforce.

Essential experience

• Extensive knowledge of machine learning and AI in the context of Physics, Mathematics, Statistics, Computer Science, or a relevant science or engineering discipline.
• An exceptional track record in research and the ability to drive ideas forward in a collaborative manner.
• Clear evidence of leadership in developing technical proposals and commercial offerings.
• Clear evidence of leadership in leading technical teams, and engaging with a variety of internal and external stakeholders to maximise the impact of our work.
• Deep knowledge of methods of machine learning and deep learning and proficiency in the practical application and implementation of those methods.
• Deep knowledge of large language models, including model evaluation, prompt engineering, retrieval-augmented generation, fine-tuning approaches, responsible deployment and limitations of generative AI systems.
• Experience with agentic AI systems, including tool-using agents, planning and orchestration, evaluation of agent behaviour, safety controls and human oversight.

Location: The role will require regular presence in one of our three hubs (Teddington, Glasgow, Cambridge). We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. There might be a requirement for the candidate to hold SC clearance or be open to obtaining one.

Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward.

The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of rewards, benefits and recognition.

Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.