SUMMARY:

digiLab is a pioneering AI company transforming complex enterprise challenges through innovation in uncertainty quantification, explainable AI, and MLOps. Specialising in highly regulated and safety-critical industries, digiLab excels at addressing challenges involving sparse or uncertain data. From a core team of leading mathematicians and data scientists, digiLab empowers organisations through our secure AI platform—the Uncertainty Engine—and expert consultancy.
As we expand our R&D team, we’re seeking a Research Software Engineer (RSE) to join our talented group in Exeter. You will significantly contribute to our research and innovation efforts by designing and developing software tools that underpin cutting-edge AI research and client projects.

What Skills We Are Looking For:

• A STEM degree (e.g., computer science, software engineering, or a related field).
• Proven experience writing professional-quality software, ideally in Python, complemented by proficiency in other languages such as TypeScript or Rust.
• Familiarity with best practices in software development, including version control (Git), testing, continuous integration, and deployment.
• Basic understanding of machine learning concepts and their software implementations.
• Strong problem-solving abilities with attention to detail and reproducibility.
• Excellent communication skills and the capability to collaborate effectively with technical and non-technical team members.
• A proactive and collaborative approach with eagerness for continuous learning and development

WHAT YOU WILL BE DOING WITH US:

As a Research Software Engineer at digiLab, you will:

• Develop high-quality, maintainable, and reproducible software tools and libraries to support innovative AI research and applications.
• Collaborate with researchers and data scientists to translate complex algorithms and models into production-grade code.
• Implement best practices in software engineering, version control, automated testing, and continuous integration/deployment.
• Support interdisciplinary teams working on challenging problems ranging from nuclear fusion to healthcare.
• Ensure software solutions are scalable, reliable, and fit for deployment in cloud environments such as AWS.
• Document and disseminate software practices and methodologies within the team and across client projects.
• Contribute to the continuous improvement of digiLab’s proprietary platform—the Uncertainty Engine.
• Engage in ongoing professional development to enhance your technical skills and domain knowledge.

What Skills We Are Looking For:

• A STEM degree (e.g., computer science, software engineering, or a related field).
• Proven experience writing professional-quality software, ideally in Python, complemented by proficiency in other languages such as TypeScript or Rust.
• Familiarity with best practices in software development, including version control (Git), testing, continuous integration, and deployment.
• Basic understanding of machine learning concepts and their software implementations.
• Strong problem-solving abilities with attention to detail and reproducibility.
• Excellent communication skills and the capability to collaborate effectively with technical and non-technical team members.
• A proactive and collaborative approach with eagerness for continuous learning and development.

Nice to Have:

• A Master’s or PhD in computer science, software engineering, or a related discipline.
• Experience working in a research-focused or innovative startup environment.
• Familiarity with uncertainty quantification or probabilistic programming.

We value enthusiasm and loyalty, and we’re committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including:

• 4-day working week
• Competitive Salary
• BUPA private health care (via salary sacrifice)
• Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company’s discretion.