(Senior) Software Engineer - [R03]

Please note that only applications with cover letters will be considered. 

Summary:

digiLab is a pioneering AI company that helps enterprises transform complex challenges into innovation with uncertainty quantification, explainable AI and MLOps. Working with organisations in highly regulated or safety-critical industries to solve their complex engineering, infrastructure or data challenges, digiLab specialises in solving problems where data is sparse or uncertain. Having grown from a small team of leading mathematicians and data scientists, digiLab teaches your teams how to solve their grand challenges using a secure AI platform, alongside expert consultancy. digiLab's platform - the Uncertainty Engine is a no-code agentic AI platform that combines data, models and workflows to connect a trustworthy AI digital thread through an organisation.

The full-time role (Monday to Thursday), reporting to the Lead Software Engineer, covering a range of software engineering and machine-learning skills.

What we are looking for:

We are seeking an enthusiastic full-stack Software Engineer or Senior Software Engineer to join our team and contribute to the development of our product, The Uncertainty Engine. The ideal candidate will have experience working with Python and a strong interest or familiarity with machine learning. They should thrive in a fast-paced, collaborative, and dynamic environment.

What you will be doing with us:

As a Senior Software Engineer/ Software Engineer at digiLab, you will be responsible for:

• Collaborate with a cross-functional team to design, develop, and maintain high-quality software solutions

• Contribute to architectural design, development, testing, and deployment of software applications

• Utilize expertise in AWS, React, Python, MongoDB, 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 management investigations

• Ensure adherence to RESTful API design principles

What Skills we are looking for:

• Degree in computer science or related field

• Industry Expereinece in a similar role

• Extensive experience with collaborative software development

• Deep understanding of Python, Linux, bash, and the command line

• Familiarity with statistical machine learning, AI, and libraries like Numpy, Scipy, and Pandas

• Ability to write logical, self-explanatory code

• Experience with security best practices and user-account management

• Experience with RESTful API design and best practices

• Expertise in AWS (IAM, Lambda, S3, CloudWatch, CloudFormation, API Gateway, ECR, EC2, Cognito)

• Strong understanding of software design patterns, SOLID, DRY principles, and architectural patterns

• Experience with Git/GitHub and best practices

• Experience configuring and using CI/CD pipelines

• Knowledge of the software testing pyramid and automated testing (smoke, component, unit, performance, load, end-to-end)

• Experience with Docker and other containerization platforms

• Knowledge of deployment-reliability engineering and reliability best practices

• Proven ability to collaborate in a fast-paced agile team, preferably using scrum

• Excellent communication and interpersonal skills

• Proven leadership and mentoring skills

In addition, some nice to haves are:

• A Masters-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 based on-site at digiLabs offices on the Quay, Exeter.

Our Culture and Values

At digiLab, we prioritize 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 paddleboarding.

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

• Creativity & Agility: Encouraging innovation and flexibility in goal achievement.

• Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation.

• Open & Honest Collaboration: Ensuring transparent communication and alignment.

• High-Performance Standards: Continuously challenging ourselves to excel in delivery.

• Value-Driven Work: Regularly assessing our contributions toward company goals.

Benefits:

We value enthusiasm and loyalty, and we are 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 after one year with the company)

Please

high volume of applications, we may not be able to