Staff Scientist

digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers are among the largest and most advanced engineering and science-led organisations in the world, and they're using our technology to tackle some of society's biggest challenges. How do we make fusion energy a commercial reality? Can we drive down the cost of renewable energy and accelerate the transition to a sustainable future? How do we support coral reef restoration, or strengthen Britain's national security? These are just a few of the critical questions our technology is helping to answer. At the heart of our work is digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through better informed decisions. We are looking for ambitious team members to help shape our pioneering technology and tackle some of the world's most impactful problems. The Role: In this role, you will shape theLab’s research trajectory and external scientific presence: • Own and lead significant fields, programmes, or portfolios of scientific inquiry, shaping research direction, priorities, and standards. • Design and guide coherent research projects and programmes that advance theLab’s long-term scientific capability and strategic intent. • Engage with real-world problems as contexts for scientific inquiry, leading work to test, refine, and apply research ideas to achieve tangible impact. • Exercise deep scientific judgement on complex or ambiguous problems, setting expectations for rigour, methodology, and interpretation. • Act as a scientific authority in external engagements, partnerships, and collaborations, representing theLab’s work and contributing to its reputation. • Contribute to theLab’s research profile through publication in top tier journals, open repositories, conference participation, and other externally visible outputs. • Provide structured technical and intellectual mentorship to scientists across theLab, supporting the development of technical depth, judgement, and expertise. • Shape and steward research-grade tools, libraries, and methodological frameworks as scientific artefacts, ensuring they support reproducibility, clarity, and reusability within research contexts. • Influence theLab’s scientific culture by exemplifying high standards of rigour, curiosity, openness, and constructive challenge. Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Ways of working • Remain scientifically engaged through review, synthesis, and judgement, maintaining sufficient depth of understanding to credibly arbitrate priorities, standards, and trade-offs across theLab. • Collaborate closely with the Director of AI to ensure research agendas are viable, well-supported, and appropriately resourced. • Engage with Product and delivery teams through bounded scientific authority and consultation, without assuming ownership of execution. Technical expertise and research standards: We are looking for an exceptional scientist with the mathematical depth, research independence and engineering ability to develop genuinely new approaches to machine learning. Essential • Advanced qualification (PhD or equivalent research experience) in AI, machine learning, computational science, mathematics, physics, or related discipline. • Exceptional mathematical foundations: Deep understanding of probability, statistics, linear algebra, optimisation and numerical methods, with the ability to derive, analyse and critically evaluate new ML algorithms from first principles. • Independent scientific research: Dem