Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer - Medical Device

CT19
Oxford
8 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer / Machine Learning Developer

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Engineer) - Hybrid

Software Engineer - Machine Learning

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

We are recruiting for an early-stage start-up based in Oxford who have recently secured their Seed funding. They are building a platform that leverages extensive Oxford University research in Raman Spectroscopy / Machine Learning to bring a disruptive technology allowing culture-free microbiology diagnostics in hours. The technology can identify bacteria and fungi from clinical samples and rapidly produce their antimicrobial profile in under 3 hours, compared to the current standard of 3 days. The success of this technology will ensure a revolution in the microbiology diagnostic space and set the standard for tomorrow.


This is a rare opportunity to join as one of the first employees on a mission to win against superbugs, we need the best and brightest to join us and enable this ambitious vision.


As an experienced Medical Device Software Engineer, you will take a hands-on role leading the development of the software for their initial prototype.


Job Title: Software Engineer – Medical Devices

Location: Oxford (Hybrid)

Salary: Highly Negotiable and Dependant on Experience


We are looking for a skilledFull-Stack Developerwith expertise inPythonto work on both front-end and back-end development of an innovative medical device. The ideal candidate will have experience working with medical devices in Python, and it would be a big bonus if they have worked with spectroscopy / imaging data.


Key Responsibilities:

  • Develop and maintain Software for both Back-End and Front-End.
  • Build and optimize APIs and backend services.
  • Integrate existing SDKs for hardware control / data acquisition from Raman spectroscopy systems.
  • Work with databases, ensuring efficient data storage and retrieval.
  • Collaborate with cross-functional teams to define and deliver new features.
  • Ensure high performance, security, and scalability of applications.
  • Testing and Debugging including unit / integration tests.
  • Collaborate with quality assurance teams to document processes in line with ISO13485.


Requirements:

  • Proficiency inPythonand relevant frameworks
  • Experience with frontend technologies (e.g., HTML, CSS, JavaScript, React).
  • Familiarity with cloud services (AWS, Azure, or GCP) is a plus.
  • Knowledge of version control systems like Git.
  • Familiarity with communication protocols such as USB, Serial, or Ethernet.
  • Ability to work in an agile environment and problem-solve effectively.


Please apply with an up to date CV for consideration.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.