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 the Uncertainty Engine, digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through more confident decisions.
We are looking for ambitious team members to help shape our pioneering technology and tackle some of the world's most impactful problems.
This is a full-time role (Monday to Thursday), reporting to the Lead Software Engineer, and encompasses a range of software engineering and machine-learning skills. The primary function is to serve as a Software Engineer, specialising in Python, contributing to the development of digiLab's product, The Uncertainty Engine. The role requires expertise in Python and involves applying machine learning principles within a fast-paced, collaborative, and dynamic environment.