Software Engineer

Colville
1 week ago
Create job alert

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

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer (Junior)

Software Engineer (Junior)

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.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.