At a Glance
- Tasks: Lead the development of innovative Computer Vision models for real-time retail solutions.
- Company: Exciting AI company transforming retail with cutting-edge technology.
- Benefits: Competitive salary up to £150k, equity options, and 25 days annual leave.
- Other info: Hybrid work environment in vibrant London with excellent career growth opportunities.
- Why this job: Join a mission-driven team solving real-world problems with AI and make a tangible impact.
- Qualifications: PhD or equivalent in Computer Vision, strong Python skills, and experience with large-scale models.
The predicted salary is between 135000 - 165000 £ per year.
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- Scaling tech globally. Specialist in Software, AI, & ML hiring across the UK & EU 🌎
- Computer Vision Tech Lead
- An open salary structure offering a competitive salary of up to
£150k per year .
- You'll be offered equity share options , allowing you to partake in the value you help build.
- Hybrid-first approach based out of our vibrant central London.
- A generous
25 days of annual leave plus bank holidays.
- Comprehensive private medical coverage, including dental, optical, and travel insurance, prioritising both physical and mental health.
- A culture of kindness, openness, and trust where every voice matters.
About the role
I'm currently partnered with an exciting Computer Vision AI company that is building the future of real-time retail execution.
Their mission is to solve tough, real-world problems in retail by providing immediate, scalable, and accurate in-store visibility through their proprietary platform.
This platform is powered by a Computer Vision engine that creatively leverages synthetic data, large vision models, and smart pipelines. They are now looking for a
Computer Vision Tech Lead to take a pivotal role in scaling their vision AI product.
We need a hands-on leader with deep technical experience, scientific rigor, and a product‑aware mindset to turn complex vision problems into practical, scalable solutions.
What you'll do
- Drive model development from the initial idea through to deployment.
You will lead the design, training, and optimisation of Computer Vision models for detection, recognition, segmentation, and tracking tasks.
- Own the evolution of our in‑house LVM efforts, shaping it into a best‑in‑class system by improving its performance, reliability, and scalability.
This includes designing and deploying a highly generalisable LVM tailored for retail.
- Advance our synthetic data generation pipeline, focusing on scaling diversity, improving generalisation, and applying domain adaptation strategies to boost model robustness.
- Work with Product, Infrastructure, and Customer teams to deliver models that integrate seamlessly into field workflows.
You will align technical direction with business goals through technical leadership - without any line management responsibilities.
- Champion practical engineering and good data practices, ensuring clean, reliable, and well‑managed data is at the heart of all model development.
Use Py Torch (or similar frameworks) for rigorous, fast experimentation.
Experience & technical skills
- Ph D or equivalent experience in Computer Vision, Machine Learning, or a related field.
- Proven track record developing and deploying large‑scale CV models in production.
- Strong programming skills in
- Python , with hands‑on experience in
- Py Torch or
Tensor Flow .
- Deep understanding of modern Computer Vision architectures, huge vision models and
Transformers .
- Experience with MLOps tools and workflows is required.
Desirable
Experience with multimodal data (images, video, text) is highly desirable.
- How You Work
- You are hands‑on and self‑directed with a strong sense of ownership.
- You think clearly, test quickly, and iterate based on evidence, not instinct .
- You communicate technical findings clearly to both technical and non‑technical stakeholders.
Interested in being central to how a fast‑moving, high‑growth platform evolves globally?
- Referrals increase your chances of interviewing at Connect‑AI by 2x
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Computer Vision Engineer Lead employer: Connect-AI
Connect-AI in Warminster is an exceptional employer, offering a dynamic work environment where innovation meets purpose. With a strong focus on employee growth and development, team members are encouraged to enhance their skills while contributing to mission-critical projects that impact defense and public safety. The hybrid work model promotes a healthy work-life balance, making it an attractive place for talented engineers looking to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer Lead
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Connect-AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Connect-AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Connect-AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Connect-AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Computer Vision Engineer Lead
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Connect-AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Connect-AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Connect-AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Connect-AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
