Software Engineer

Colville
8 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer - (Machine Learning Engineer) - Hybrid

Software Engineer (AI & Machine Learning Focus)

Software Engineer III - MLOps

GenAI Software Engineer/Data Scientist

GenAI Software Engineer/Data Scientist

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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.