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- 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, 25 days leave, and comprehensive health coverage.
- Why this job: Join a dynamic team and shape the future of retail with your expertise in AI.
- Qualifications: PhD or equivalent in Computer Vision, strong Python skills, and experience with large-scale models.
- Other info: Hybrid work environment in vibrant London with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (hybrid)
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 PyTorch (or similar frameworks) for rigorous, fast experimentation.
Experience & technical skills:
- PhD 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 PyTorch or TensorFlow.
- 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?
Computer Vision Engineer Lead in London employer: Connect-AI
Contact Detail:
Connect-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer Lead in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in Computer Vision. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in Computer Vision. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your hands-on experience!
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and discussing your past projects. Be ready to explain your thought process and how you tackle complex problems. Remember, they want to see how you think, not just what you know!
✨Apply Through Us!
Don't forget to check out our website for the latest job openings. Applying through StudySmarter gives you an edge, as we often have exclusive listings and insights that can help you land that dream role in Computer Vision!
We think you need these skills to ace Computer Vision Engineer Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computer Vision Engineer Lead role. Highlight your relevant experience in developing and deploying large-scale CV models, and don’t forget to mention your programming skills in Python and frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about computer vision and how your background aligns with our mission. Be sure to mention any hands-on leadership experience and your approach to problem-solving.
Showcase Your Projects: If you've worked on any cool projects related to computer vision, make sure to showcase them! Include links to your GitHub or any publications that demonstrate your expertise and innovative thinking in the field.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Connect-AI
✨Know Your Stuff
Make sure you brush up on the latest trends and technologies in Computer Vision. Be ready to discuss your experience with large-scale models, PyTorch, and any relevant projects you've worked on. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll need to demonstrate your ability to guide teams and projects. Prepare examples of how you've led model development or improved processes in previous roles. Highlight your hands-on approach and how you align technical direction with business goals.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll likely be speaking with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Think about how you can convey your findings and ideas effectively.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's vision for their Computer Vision products, their team culture, and how they measure success. This not only shows your interest but also helps you assess if it's the right fit for you.
