Senior 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.

The Senior Software Engineer (Backend) is a full‑time position (Monday to Thursday), reporting directly to the Lead Software Engineer. This role is central to the ongoing development and maintenance of digi

Lab's core product, The Uncertainty Engine. It encompasses a broad range of responsibilities that leverage expertise in software engineering and machine learning, with a strong focus on Python development within a fast‑paced, collaborative, and dynamic engineering environment.

As a Senior Software Engineer (Backend) at digi

Lab, you will be responsible for:

• Collaborate with a cross‑functional team to help lead on the design, development, and maintenance of high‑quality software solutions
• Contribute to architectural design, development, testing, and deployment of software applications
• Utilise expertise in AWS, Python, Mongo
  
  DB, and other relevant technologies to build 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 architectural best practices
• Demonstrate a deep understanding of CI/CD pipelines and ensure efficient deployment processes
• Apply site reliability engineering knowledge to enhance system reliability and performance
• Champion “Scrum” and contribute to team process improvements
• Collaborate with product management to translate business requirements into technical solutions
• Provide technical support and lead 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.

• Significant industry experience in (scientific) software development
• Demonstrable experience deploying AWS infrastructure as code
• Experience with Dev Ops and MLOps
• Degree‑level qualification in computer science or related field
• Professional experience with collaborative software development
• Deep understanding of Python
• 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, and architectural patterns
• 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 containerization 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 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…