National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Computer Scientist

Aylesbury
13 hours ago
Create job alert

The Company & The Role
An innovative and forward-thinking organisation at the cutting edge of technology is seeking a Senior Computer Scientist to join its multidisciplinary R&D team. This is a technically challenging position, ideal for a highly capable individual with a background in Electronic Engineering or Computer Science and a strong academic track record.

Key Responsibilities
You will take a lead role in the development of advanced algorithms and embedded software used in surgical and diagnostic applications. The ideal candidate will have exceptional academic credentials—ideally a 1st class degree in Computer Science from a top UK university. A PhD in Image Processing or a related field would be a distinct advantage.

Responsibilities include:

  • Leading a small team of Computer Scientists on critical development projects

  • Supporting team growth through mentoring, coaching, and knowledge sharing

  • Collaborating closely with Electronics and Mechanical Engineering colleagues

  • Defining software requirements based on clinical user needs and system design goals

  • Developing high-performance software for use in regulated medical environments

    Candidate Requirements
    Me client are looking for someone with a deep technical understanding and a passion for innovation. The ideal candidate will have:

    2–5+ years of commercial experience in a relevant industry

    Strong programming skills in Python, C++, and JavaScript

    Experience in one or more of the following areas:



* Image Processing

* Computer Vision

* Robotics

* Machine Learning

* Software Deployment

A commitment to writing high-quality, maintainable code

A passion for continual learning and professional development

The Package
Salary: £40,000 – £65,000 (depending on experience and qualifications)

We operate and advertise as an Employment Agency for permanent positions and an Employment Business for contract/temporary roles

Related Jobs

View all jobs

Senior Applied Scientist - Computer Vision (City of London)

Senior Applied Scientist - Computer Vision

Senior Applied Scientist, Computer Vision, Camera and Sensors

Senior Data Scientist (City of London)

Senior Data Scientist

Principal Data Scientist

National AI Awards 2025

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.