Software Engineer - Python

digiLab

West of England

On-site

GBP 45,000 - 75,000

Full time

9 days ago

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Benefits offered by this job

Competitive Salary
Personal & professional development
BUPA private health care (via salary<s

Job summary

digiLab, a pioneering AI company, is hiring a Backend Software Engineer to advance The Uncertainty Engine. Based on-site in Exeter or Bristol, you’ll apply Python and ML techniques within an agile team, contributing to scalable, secure software.

Qualifications

  • Industry experience in software development.
  • Deep understanding of Python.
  • Degree-level qualification in computer science or a related field.
  • Professional experience with collaborative software development.
  • 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.
  • 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 containerisation platforms.
  • Proven ability to collaborate in a fast-paced “agile” team, preferably using “scrum”.

Responsibilities

  • Collaborate with a cross-functional team to design, develop, and maintain high-quality software solutions.
  • Utilise expertise in Python, MongoDB, and other relevant technologies to contribute to 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 best practices.
  • Demonstrate an understanding of CI/CD pipelines.
  • Provide technical support and participate 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.
  • Adopt AI tools to assist and accelerate your work.

Skills

Python
ML/AI
Collaborative development
Linux/bash
Numpy/Scipy/Pandas
Clean, maintainable code
SOLID/DRY
Git/GitHub
Testing pyramid
Docker
Agile / Scrum
Front-end basics
PyTorch / DL libs
Bayesian statistics

Education

Degree in Computer Science or related field
Master's degree (nice to have)

Tools

Docker
MongoDB
Git/GitHub

Job description

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.


Summary:

This is a full-time role (Monday to Thursday), reporting to the Lead Software Engineer, and encompasses a range of software engineering and machine-learning skills. The primary function is to serve as a Software Engineer, specialising in Python, contributing to the development of digiLab’s product, The Uncertainty Engine. The role requires expertise in Python and involves applying machine learning principles within a fast-paced, collaborative, and dynamic environment.


The role:

As a Software Engineer (Backend) at digiLab, you will be responsible for:



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

  • Utilise expertise in Python, MongoDB, and other relevant technologies to contribute to 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 best practices

  • Demonstrate an understanding of CI/CD pipelines

  • Provide technical support and participate 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.

  • 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 to support our growth.

Required Skills & Experience:


  • Industry experience in software development

  • Deep understanding of Python

  • Degree-level qualification in computer science or a related field

  • Professional experience with collaborative software development

  • 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

  • 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 containerisation platforms

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


In addition, some ‘nice to haves’ are:


  • A Master’s-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 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

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.

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