Software Engineer; Python

In a world of immense uncertainty, digi

Lab 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 digi

Lab’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.

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 digi

Lab'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.

As a Software Engineer (Backend) at digi

Lab, you will be responsible for:

• Collaborate with a cross‑functional team to design, develop, and maintain high‑quality software solutions
• Utilise expertise in Python, Mongo
  
  DB, 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.

Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.

• Industry experience in (scientific) 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/Git Hub 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"

• A Master’s‑level qualification in a STEM field.
• Experience with AWS would be a massive advantage
• Experience with front‑end development: HTML; CSS;
  React;
  Java script/Typescript.
• Experience with UI/UX design principles.
• Experience with PyTorch or other deep‑learning libraries.
• An understanding of Bayesian statistics.

On site.

As an ambitious, rapidly‑growing start‑up, we’re looking for proactive, adaptable people who thrive in a fast‑paced environment. Our standard working hours are 9.00–5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs.

At digi

Lab, we prioritise work‑life balance with a 4-day workweek (Monday to Thursday), offering a full‑time salary and three‑day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddle boarding.

We foster a culture of innovation, trust, and collaboration. Our values include:

• Creativity & Agility: Encouraging innovation and flexibility in goal achievement.
• Trust & Responsibility: Supporti…