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digiLab

(Senior) Software Engineer - Python

Exeter, Devon, United Kingdom · Bristol, England, United Kingdom

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hirly's read of this role

Role family
Engineering
Seniority
Senior
Country
GB
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest.

Our customers are among the largest and most advanced engineering and science-led organisations in the world, and they're using our technology to tackle some of society's biggest challenges. How do we make fusion energy a commercial reality? Can we drive down the cost of renewable energy and accelerate the transition to a sustainable future? How do we support coral reef restoration, or strengthen Britain's national security? These are just a few of the critical questions our technology is helping to answer.

At the heart of our work is the Uncertainty Engine, digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through more confident decisions.

We are looking for ambitious team members to help shape our pioneering technology and tackle some of the world's most impactful problems.

The role

We're looking for an experienced (Senior) Software Engineer to help build the Uncertainty Engine - the platform at the heart of everything we do at digiLab. In this role, you'll design and build the scalable, secure systems that power trustworthy AI for customers tackling some of society's hardest problems.

This is a hands-on technical role that combines deep backend expertise with a collaborative, product-minded approach.

What you'll do

Lead the design, development, and maintenance of high-quality software, owning solutions from architecture through to deployment

Build scalable systems using AWS, Python, MongoDB, and other modern technologies

Embed security best practices across the full software development lifecycle

Own and improve our CI/CD pipelines to keep deployments fast, reliable, and repeatable

Apply site reliability engineering principles to strengthen system performance and resilience

Partner with product management to translate business requirements into elegant technical solutions

Design clean, consistent RESTful APIs

Provide technical support and lead incident investigations

Champion Scrum and drive continuous improvement in how the team works

Foster a collaborative, learning-oriented environment where engineers grow

In addition to backend work, you may also be required to support tasks on the frontend — we value engineers who enjoy working across the stack

Adopt AI tools to assist and accelerate your work

Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence as we grow.

Your Experience

Significant industry experience building production software

Deep Python expertise, with clean, logical, self-explanatory code

Proven experience building production APIs with FastAPI (or similar async Python frameworks)

Hands-on experience deploying AWS infrastructure as code (IaC)

Degree-level qualification in computer science or a related field

Experience with DevOps and MLOps

Solid grasp of software design patterns, SOLID and DRY principles, and architectural patterns

Confidence with Git/GitHub, Docker and containerisation, Linux, bash, and the command line

Command of the testing pyramid and automated testing types (unit, component, smoke, performance, load, end-to-end)

Familiarity with modern statistical ML and AI tooling, including NumPy, SciPy, and Pandas

A track record of collaborating in a fast-paced agile team, ideally using Scrum

Nice to have

A Master's-level qualification in a STEM field

Frontend experience: HTML, CSS, React, JavaScript/TypeScript

An eye for UI/UX design principles

Experience with PyTorch or other deep-learning libraries

An understanding of Bayesian statistics

Location:

This role is on-site at our Exeter or Bristol office.

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.

Our Culture and Values

At digiLab, we're building something we truly believe in, and we're looking for like-minded people.

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

Competitive Salary

Personal & professional development

BUPA private health care (via salary sacrifice)

Company Cashplan

Cycle to work scheme

Referral Program

R egular social events such as pizza nights, kayaking, bouldering and bake offs

  • Equal Opportunities:
  • digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously.
  • Final Note:
  • We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.
Original posting on digiLab's site ↗

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