National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Python Software Engineer

Qureight Ltd
Cambridge
4 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer - Agentic bioimage data platform

Artificial Intelligence And Machine Learning Engineer

Experienced Ai / Machine Learning Engineer

Data Scientist

Machine Learning Engineer (W/M/D)

Staff Machine Learning Engineer (London)

No agencies please - any questions to

About Qureight

Qureight is a MedTech company based in Cambridge, UK. It was founded by medical doctors in 2018. Our mission is to combine platform technology and life sciences to generate new insight and transform the way we use clinical data to improve the lives of patients with complex diseases.

Qureight utilises Machine Learning technology to curate and analyse clinical imaging data to better understand complex heart and lung diseases which benefits biopharma and academic institutions achieve new insights into understanding diseases and response to treatment.

We have built a cloud-based platform which allows clients to upload, curate and analyse their data using advanced ML techniques. We are looking for experienced developers to help direct the development of our platform, REST APIs and web-based UI. You will be working on our Python backend and depending on your skills our Next.js front end which is deployed using Terraform to our EKS environment on AWS.

Here are some signs you might love to work with us:

  • You are excited to work in an innovative start-up in one of the most exciting cities in the world
  • You enjoy working with a multidisciplinary team and collaborating with your colleagues
  • You can work independently to drive projects to completion
  • You want to work in a company who wants to make a real difference in people’s lives


We have listed some requirements below. Don’t worry if you don’t meet all the requirements, as these are just a guide.

Requirements

Requirements: 

  • A STEM degree from a well-respected university 
  • Full right to work in the UK without restriction, time limit, or sponsorship 
  • Proficiency in Python 
  • Have built, documented, and tested REST APIs 
  • Experience with AWS cloud services 
  • Produce maintainable, testable, documented, production-grade code 
  • Have utilised CI/CD processes (gitlab preferred) 
  • Strong written and verbal communication skills 
  • Experience of working in a team using agile methodologies 
  • Experience in AI as a Medical Device (AIaMD) development (EU MDR/US FDA) and applicable standards (e.g. ISO 62304/ISO 14971/ISO 34971) is essential 

Preferred skills and experience: 

  • Comfortable with Linux-based operating systems 
  • Experience using Django
  • Exposure to JavaScript/TypeScript is a bonus but not essential
  • Familiarity with SQL and good schema design
  • Have built and optimised Docker containers and Docker-compose

Benefits

The chance to join a friendly, motivated group of people on a mission for universal good in healthcare.

  • Flexible working hours.
  • Hybrid working policy.
  • Competitive salary.
  • 25 days annual leave, plus bank holidays.
  • Contributory pension.
  • Private medical insurance (including pre-existing).
  • Medical Cash Plan benefit.
  • Death In Service benefit.
  • Discretionary employee share options scheme.
  • Opportunities for professional development and academic collaborations in a vibrant and fast-acting company.
  • Experience in a highly regulated industry where high-quality code is essential.
  • Co-working passes.

Qureight reserve the right to amend or remove any of these at any given time.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.