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

Nominate & Attend

Software Engineer (Python)

Qureight Ltd
Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer, Machine Learning and Electronic Design Automation

Software Engineer (Machine Learning)

Software Engineer (Leadership) - Machine Learning

Software Engineering Manager, Machine Learning

Software Engineer (Python) 

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.  

Role 

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 with 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: 

  • Excited to work in an innovative company 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

Minimum 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 
  • You have built, documented, and tested REST APIs 
  • 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 

Preferred skills and experience 

  • Comfortable with Unix like operating systems  
  • Experience using Django and Pydantic  
  • Have worked with AWS cloud services  
  • Some experience with Javascript, TypeScript or React 
  • Familiarity with SQL and good schema design 
  • Experience working in containerised environments (Docker/Kubernetes) 

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.
  • 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 Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

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.