Future Tech Jobs Future Tech Jobs

Software Engineer

CV-Library
Colville, Greater London
13 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Software Engineer

Faculty AI London, United Kingdom
Hybrid

Software Engineer, Back End Leaning (Tech Lead Level)

Synthesia London, United Kingdom
Remote

Software Engineer (Principal level)

Synthesia London, United Kingdom
Hybrid

Software Engineer, Front End Leaning (Tech Lead level)

Synthesia London, United Kingdom
Hybrid

Software Engineer, Front End Leaning (Accessibility)

Synthesia London, United Kingdom
Remote

Software Engineer, Codex Ecosystem & Enterprise

OpenAI London, United Kingdom
Permanent
Posted
17 Apr 2025 (13 months ago)
Share
Save job
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

Industry Insights

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

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.