Lead Software Developer - Computer Vision, Full Stack

IC Resources
Nottingham
8 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision & SDK Development Lead

Computer Vision & SDK Development Lead

Project Data Scientist

Lead Software Engineer - MLOps

Lead Software Engineer - Agentic AI/Machine Learning

Software Dev Intern - AI / Machine Learning

Cutting-edge computer vision and telematics software solutions company are looking to hire a Lead Developer.

You will be leading a growing team (currently 3 developer,s with the team set to grow further), focusing on R&D and product development of innovative AI / ML based computer vision and video management systems.

The role will involve hands-on architecture, design, implementing software processes, tech stack/cloud/tools selection and implementation. You will also be responsible for managing the individuals within the team.

Approximately, 60% of the role will be hands-on to begin with.

Key skills/experience required:

  • Proven experience leading full stack development teams, particularly in Computer Vision, IoT, or telematics projects.
  • Proven track record as a Full Stack Developer - Python, Flask, Django
  • Expertise in integrating computer vision algorithms
  • Computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch.
  • Experience of working on IoT or connected devices
  • Project management certifications (e.g., PMP, Scrum Master) are a plus.
  • Relevant BSc /MSc degree eg Computer Science, ML, Computer Vision or a relevant tech subject.

This is a predominantly office based role, so you will need to live within commutable distance of Nottingham, or willing to relocate.

Great opportunity to work on some very leading edge projects, where you can research and innovate, as well as delivering working commercial products.

If you are interested, please contact Matt Andrews at IC Resources for more info!

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.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.