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- Tasks: Analyse computer vision performance in live self-checkout systems and ensure accurate detection.
- Company: Join a forward-thinking tech company focused on enhancing retail experiences.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact on customer experiences while working with innovative technology.
- Qualifications: Experience in video review or computer vision evaluation is a plus.
- Other info: Dynamic team environment with opportunities to shape the future of retail technology.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for a detail driven analyst to support SeeChange teams to evaluate the performance in live deployments of its computer vision system for self-checkout (SCO). The system monitors checkout activity to detect missed scans, hidden items, and items left behind after the transaction ends, prompting shoppers to correct the issue or, when needed, triggering an employee intervention.
Your primary responsibility will be to review annotated SCO video clips, verify the ground truth labels, and assess whether the detections are accurate. You will ensure that alerts retailers consider valuable significantly outweigh those they would regard as ‘noise’, helping protect both operational efficiency and the customer experience. The insights you produce will directly support SeeChange teams in delivering implementations across new clients, retail formats, and use cases. They will shape how performance is communicated to clients, inform decisions on model retraining, alert threshold adjustments, and rule development, and directly influence both the success of customer projects and the prioritisation of our development roadmap.
A key part of this role is serving as the super user and administrator of the video review system managing user onboarding and maintaining a strong understanding of the ingestion pipelines and the end to end data flow process.
Key Responsibilities
- Solution performance QA
- Review annotated SCO camera footage to validate events such as:
- Missed scan attempts
- Item concealment/hidden items
- Items left in the output tray after transaction
- Incorrect bagging behaviours
- Flag incorrect labels, inconsistencies, or unclear cases
- Maintain a clear categorisation of SCO events to ensure reliable evaluation.
- Precision, recall
- False positive and false negative rates
- Smooth customer flow
- Shopper trust
- Staff workload balance
Skills & Experience Required
- Experience in video review, annotation QA, or computer vision evaluation.
- Understanding of common SCO behaviours and loss prevention risk points.
- Ability to analyse CV metrics and translate them into practical insights.
- High attention to detail for repetitive but highly impactful review work.
- Competence with Excel/Sheets or BI tools for tracking performance over time.
- Strong communication skills with the ability to simplify technical findings.
Nice to Have
- Experience with retail SCO or loss prevention.
- Understanding of SCO hardware setups (scanners, cameras, bagging areas).
- Knowledge of operational metrics: intervention rate, throughput, basket size distribution.
Key Performance Indicators (KPIs)
- Positive stakeholder feedback from Engineering, Data Science, Delivery, and New Business teams
- Clear, well-structured documentation and high-quality insight reports
- Ability to quickly understand expected solution performance and identify when system behaviour falls outside defined parameters
- Proactive oversight and governance of the video-performance review system
- Effective communication with team members and reliable delivery against agreed deadlines
Computer Vision Performance Analyst 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 Performance Analyst in Manchester
✨Tip Number 1
Get to know the company inside out! Research SeeChange and its computer vision systems. Understanding their mission and values will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice makes perfect! Before any interviews, run through common questions related to computer vision and performance analysis. This will help you articulate your thoughts clearly and demonstrate your expertise in the field.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info about the role and might even lead to a referral, which is always a bonus!
✨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 proactive and serious about joining the SeeChange team.
We think you need these skills to ace Computer Vision Performance Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in video review, annotation QA, or computer vision evaluation. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Show Off Your Attention to Detail: Since this role requires a high level of detail, make sure to demonstrate your meticulousness in your application. Whether it’s through your CV formatting or the clarity of your cover letter, we appreciate precision!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Crane Venture Partners
✨Know Your Computer Vision Basics
Make sure you brush up on your computer vision concepts, especially those related to performance metrics like precision and recall. Being able to discuss these terms confidently will show that you understand the core of what the role entails.
✨Familiarise Yourself with SCO Systems
Dive into the specifics of self-checkout systems and their common behaviours. Understanding how missed scans and hidden items affect customer experience will help you relate your answers to real-world scenarios during the interview.
✨Prepare for Practical Questions
Expect questions that require you to analyse video footage or data. Practise explaining how you would validate events and flag inconsistencies. This will demonstrate your analytical skills and attention to detail, which are crucial for this role.
✨Communicate Clearly and Effectively
Since strong communication skills are essential, practise simplifying complex technical findings. You might be asked to explain your insights to non-technical stakeholders, so being clear and concise will set you apart.