Python Software Engineer

Qureight Ltd
Cambridge
1 month ago
Applications closed

Related Jobs

View all jobs

Contract Python Software Engineer - Trading

Software Engineer (Python React)

Senior Software Engineer

Python Data Engineer & Data Scientist

Principal Software Engineer - Remote (Edinburgh) - 100-120K

Application Software Engineer - grad - mid level

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.