
digiLab helps governments and organizations make confident decisions on complex, safety-critical engineering problems when data is sparse or uncertain. It provides the Uncertainty Engine, a…

digiLab helps governments and organizations make confident decisions on complex, safety-critical engineering problems when data is sparse or uncertain. It provides the Uncertainty Engine, a…
Core product: The Uncertainty Engine — uncertainty quantification and explainable ML platform
Primary customers: Governments and organisations in safety-critical, highly regulated sectors (energy, healthcare, public sector)
Founded / HQ: 2021; Exeter, United Kingdom
Funding signal: Seed-stage investors and public grant awards reported
Decision intelligence and trustworthy ML for safety-critical engineering problems where data is sparse or uncertain.
2021
Software Development
3922000
Profile data lists total funding amount and last funding date; Crunchbase entries indicate seed-stage history with some obfuscated fields.
Received an Ofwat Water Discovery Challenge award (~£0.5M) to develop senSiteUQ (public grant funding).
“East X Ventures, UK Innovation & Science Seed Fund, Oxford Technology Management”
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In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification.
From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through.
Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions.
Summary The Fission Principal at digiLab is a strategic and results-driven role responsible for driving growth and strengthening the company's presence within the Fission market. This individual will be passionate about driving innovation via the adoption of ML/AI in the Fission market. They will be a champion for digiLab in the target market and play a key role in developing and executing sector-specific business development strategies. They will build and manage a robust network of strategic clients and partners, deepen long-term relationships, and collaborate closely with cross-functional teams—including Sales, Marketing, Product, and theLab—to support sustained sector growth and contribute to the company's overall market expansion objectives.
The position operates on a 4-day workweek (Monday to Thursday) with regular travel to client sites and other digiLab office locations.
The Role As Fission Principal at digiLab, you will be responsible for:
Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills
In Addition, Some ‘nice To Haves' Are
Location: This role will be based in either our Exeter, Bristol or Oxford offices or potentially remotely/hybrid, if the location is strategically advantageous. It also involves frequent travel to client sites and attendance at conferences both within the UK and internationally.
Our Culture and Values We foster a culture of innovation, trust, and collaboration. Our values include:
Equal Opportunities digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously.
Final Note We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.
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