Software Engineer - Python

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. Summary: 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. The role: As a Software Engineer (Backend) at digiLab, you will be responsible for: • Collaborate with a cross-functional team to design, develop, and maintain high-quality software solutions • Utilise expertise in Python, MongoDB, and other relevant technologies to contribute to scalable, secure systems • Apply security best practices throughout the software development lifecycle • Foster a collaborative, learning-oriented environment within the team • Implement software design patterns, SOLID principles, and best practices • Demonstrate an understanding of CI/CD pipelines • Provide technical support and participate incident investigations • Ensure adherence to RESTful API design principles • In addition to backend work, you may also be required to support tasks on the frontend. • Adopt AI tools to assist and accelerate your work Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth. Required Skills & Experience: • Industry experience in software development • Deep understanding of Python • Degree-level qualification in computer science or a related field • Professional experience with collaborative software development • Familiarity with Linux, bash, and the command line • Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas • Ability to write logical, consistent, self-explanatory code • Understanding of software design patterns, SOLID and DRY principles • Experience with Git/GitHub and best practices • Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end-to-end) • Experience with Docker and other containerisation platforms • Proven ability to collaborate in a fast-paced "agile" team, preferably using "scrum" In addition, some ‘nice to haves’ are: • A Master’s-level qualification in a STEM field. • Experience with front-end development: HTML; CSS; React; Javascript/Typescript. • Experience with UI/UX design principles. • Experience with PyTorch or other deep-learning libraries. • An understanding of Bayesian statistics. Location: This role is on-site at our Exeter or Bristol office. As an ambitious, rapidly-gro