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- Tasks: Develop cutting-edge algorithms for customer behaviour detection and product tracking.
- Company: Join SeeChange Technologies, a leader in AI-driven retail solutions.
- Benefits: Enjoy work-life balance, continuous learning, and a culture of respect.
- Why this job: Make a global impact with innovative tech in a dynamic team.
- Qualifications: Strong Python skills and experience with computer vision libraries required.
- Other info: Work in Manchester with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
SeeChange D.O.O., associated with SeeChange Technologies LTD, UK, is hiring for its Belgrade office.
At SeeChange Technologies, everything starts with people. Our journey in computer vision is guided not by machines, but by the knowledge, creativity and experience of our team. It’s human curiosity, intuition, and care that shape solutions powerful enough to transform the future of retail for everyone. We are at the forefront of innovation, leveraging AI to create transformative solutions that deliver positive impacts for both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. Our platform is powered by a unique engine that adapts to seasonality, traffic flow, and store conditions in real time. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands.
We are looking for an experienced Computer Vision Engineer with a strong software engineering background to join our Manchester (UK) team of leading professionals who are developing all the way to self-checkout payment and exit. In this role, you will collaborate with colleagues in Belgrade and Manchester to implement new AI models into existing solutions.
Your core duties will be focused on:
- Developing algorithms for detecting specific customer actions.
- Recognising suspicious customer behaviour (behaviour analysis).
- Solving and improving existing algorithms for product tracking, motion, and movement analysis.
- Accelerating existing parts of the system.
- Improving system accuracy by integrating new models and algorithms for human action analysis.
To successfully perform and grow in this role, we expect prospective candidates to have:
- A solid understanding of detection and feature extraction.
- Excellent knowledge of Python.
- Strong understanding and experience with libraries such as OpenCV, NumPy, and PyTorch.
- Basic knowledge of Docker.
- Professional curiosity and self-motivation to follow new trends in the field where standards and technologies evolve very quickly.
You will stand out if you can bring:
- Hands-on experience in computer vision algorithms such as tracking, optical flow, and feature matching.
- Experience with OpenVINO or TensorRT.
- Experience in working with vector databases or similar structures for fast feature search.
Why Join Us?
- Be part of a team with a global industry impact.
- Enjoy work-life balance and culture of mutual respect and trust.
- Opportunities for continuous learning and professional growth.
This role is based in Manchester, UK, and candidates must have the legal right to work in the UK.
If you see yourself as part of a hyper-innovative international tech team, send us your application and CV now.
Computer Vision Engineer in Manchester employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at SeeChange on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your computer vision projects. This is your chance to demonstrate your expertise and creativity beyond the CV.
✨Tip Number 3
Ace the interview by being ready to discuss your thought process. When they ask about algorithms or problem-solving, walk them through your approach. It’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Computer Vision Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Computer Vision Engineer role. Highlight your expertise in Python, OpenCV, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
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 at SeeChange. Let us know what excites you about the role and our company!
Showcase Your Projects: If you've worked on any cool projects related to computer vision, don't hold back! Include links or descriptions of your work in your application. We love seeing practical examples of your skills and creativity!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people. We can't wait to hear from you!
How to prepare for a job interview at Crane Venture Partners
✨Know Your Algorithms
Brush up on your knowledge of computer vision algorithms, especially those related to detection and feature extraction. Be ready to discuss specific examples of how you've implemented these in past projects, as this will show your practical experience and understanding.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, make sure you can demonstrate your proficiency. Prepare to talk about your experience with libraries like OpenCV, NumPy, and PyTorch, and consider bringing along a small project or code snippet that highlights your skills.
✨Stay Curious and Informed
The field of computer vision evolves rapidly, so show your professional curiosity. Be prepared to discuss recent trends or technologies you've been following, and how they could potentially benefit SeeChange's innovative solutions.
✨Collaborative Mindset
This role involves collaboration with teams in both Belgrade and Manchester. Highlight your teamwork experiences and be ready to discuss how you approach problem-solving in a collaborative environment, as this will demonstrate your fit within their team-oriented culture.
