Senior Software Engineer (R03)

digiLab; Exeter; On-site; GBP 50,000 - 80,000; Full time

Job summary

An innovative AI company is seeking a Senior Software Engineer to join their dynamic team. This role offers the opportunity to work on cutting-edge technology, specifically the Uncertainty Engine, in a collaborative environment. The ideal candidate will possess strong skills in Python and AWS, contributing to software development and machine learning projects. With a commitment to work-life balance, the company promotes a 4-day workweek, allowing for extended weekends. Join a team that values creativity, trust, and open collaboration, while tackling complex challenges in AI and software development.

Benefits

4-day working week

Competitive Salary

BUPA private health care

Discretionary EMI scheme

Qualifications

• Experience in scientific software development and collaborative environments.
• Deep understanding of software design patterns and CI/CD pipelines.

Responsibilities

• Collaborate with teams to design and maintain high-quality software solutions.
• Utilize AWS and Python to build scalable, secure systems.

Skills

Python

AWS

MLOps

DevOps

MongoDB

Git/GitHub

Statistical Machine Learning

Linux

Docker

Agile/Scrum

Education

Degree in Computer Science

Masters in STEM

Tools

Docker

Numpy

Scipy

Pandas

Job description

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.

Role Details:

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

What we're looking for:

We are seeking an enthusiastic Senior Software Engineer with cloud (AWS) experience 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.

Responsibilities:

• 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, 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 investigations
• Ensure adherence to RESTful API design principles

Skills and Experience:

• Industry experience in (scientific) software development
• Experience with DevOps 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/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 containerization platforms
• Proven ability to collaborate in a fast-paced "agile" team, preferably using "scrum"

Nice-to-Haves:

• 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.

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 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 note that while we strive to respond to every applicant, due to the high volume of applications, we may not be able to.