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

Apply Now

Software Engineer

Colville
5 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Data Engineer (Contract)

Machine Learning Engineer – Insurance

Senior Data Engineer

Lead R Data Scientist - Sustainability

Data Scientist - Contract

Full-Stack Developer- Software Engineer
We are developing an innovative web and mobile-based application to support a Class 2b medical device, enabling personalized treatment and remote patient monitoring. We are looking for a Full-Stack Software Engineer with a strong emphasis on frontend development who is also confident in backend systems. You will work as a key member of a multi-disciplinary team delivering a regulation-compliant digital health platform that makes a difference in people's lives.
Responsibilities Details as a Software Engineer:
Design, develop and deploy new features and modules, shape product frameworks for a web and mobile based software application to be suitable for a regulated medical device.

  1. Develop, maintain new features/improvements and user interfaces from wireframe models and build new one as needed for planned outcome.
  2. Ensuring the best performance and user experience of the application
  3. Write high quality (clean, readable, and testable) source code to program complete applications within deadlines.
  4. Troubleshoot, debug and test applications
  5. Evaluate existing applications to reprogram, update and add new features.
  6. Develop, prepare and/or maintain documents with technical requirements and software design specifications handbooks to accurately represent application design and code- timely, comprehensive, and accurate documentation.
  7. Work closely on embedded firmware development for systems integration.
  8. Establish and perform the execution of software test plans, assess device limitations.
  9. Communicate and work effectively with hardware developer/s for the timely completion of the technical deliverables.
  10. Conduct functional and non-functional testing.
  11. Software development is to be undertaken in accordance with industry standards and working within an ISO 13485 quality management system relevant to a class 2b device under IEC 62304, IEC (phone number removed) and IEC (phone number removed)
    Person Specifications as a Software Engineer:
    A Full-Stack Developer- Software Engineer: with a particular focus on front-end skills , but experienced in both front-end and back-end coding languages, development frameworks:
    Hands-on experience of full project life cycle from design, coding, documentation, prototyping, testing & maintenance.
    Essential:
  12. A degree in Software Engineering, Computer Science, Engineering, Information Technology or similar.
  13. Experience in assignments within DeepTech/MedTech/FinTech, IT & Digital Solutions, both as a mid/senior developer and/or technical lead with in-depth knowledge of programming for diverse operating systems and platforms using development tools
  14. Proven ability in programming with either/several: React Native, React, NodeJS, SQL design, HTML, CSS, Java Script, development, verification testing and deployment
  15. Full right to work in the UK
    Person Specifications Desirable:
  16. Experience in Azure or equivalent cloud platform
  17. Knowledge of machine learning and AI
  18. Python, Java, development, verification testing and deployment
  19. Knowledge of multiple front-end languages and libraries, and UI/UX design
  20. Additional modules from vendors such as for 3D imaging, image processing, animation
  21. Experience developing APIs, agile methods.
  22. An interest in medical and diagnostic devices, consumer personal electronics devices; Integrated health tech solutions with wearables, mobile, and IoT devices
  23. Understanding of HIPAA, FDA, GDPR compliance

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.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.