Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop algorithms for detecting customer actions and enhance AI systems.
- Company: Leading tech company in computer vision based in Manchester.
- Benefits: Competitive salary, professional growth, and a respectful work culture.
- Why this job: Shape the future of retail with cutting-edge technology and innovative solutions.
- Qualifications: Strong Python skills and experience with OpenCV and NumPy.
- Other info: Join a dynamic team focused on technological advancements.
The predicted salary is between 43200 - 72000 £ per year.
A technology company specializing in computer vision is seeking a Computer Vision Engineer in Manchester, UK. This role involves developing algorithms for detecting customer actions and improving existing systems using AI.
Candidates should possess strong Python skills, familiarity with libraries such as OpenCV and NumPy, and a passion for advancements in technology.
Join a team shaping the future of innovative retail solutions and enjoy a culture of mutual respect and professional growth.
Senior Real-Time Computer Vision Engineer for Retail AI in Manchester employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Real-Time Computer Vision Engineer for Retail AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. The more connections we make, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, OpenCV, and NumPy. We want to see what you can do, so let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to computer vision and AI. We recommend practising coding challenges and discussing your thought process clearly during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Real-Time Computer Vision Engineer for Retail AI in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience with OpenCV and NumPy in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your passion for technology and how you can contribute to our innovative retail solutions. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you the perfect fit for our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Crane Venture Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable with libraries like OpenCV and NumPy. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of the technology.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially those related to computer vision. Think of examples where you developed algorithms or improved systems, and be ready to explain your thought process and the impact of your solutions.
✨Stay Updated on Industry Trends
Since this role is all about advancements in technology, make sure you're aware of the latest trends in AI and retail solutions. Being able to discuss recent developments or innovations can demonstrate your passion and commitment to the field.
✨Emphasise Team Collaboration
This position values a culture of mutual respect and professional growth, so be prepared to share experiences where you've successfully worked in a team. Highlight how you contribute to a positive team environment and how collaboration has led to successful outcomes in your projects.
