At a Glance
- Tasks: Own technical success of AI deployments and troubleshoot complex systems in retail environments.
- Company: High-growth deep-tech AI scale-up transforming retail with cutting-edge technology.
- Benefits: Competitive salary, bonus, equity, and hybrid work model.
- Other info: Dynamic role with significant technical variety and career growth opportunities.
- Why this job: Make a real-world impact with AI while solving complex technical challenges.
- Qualifications: Experience in troubleshooting, cloud platforms, and clear communication with stakeholders.
The predicted salary is between 64000 - 76000 £ per year.
Urban Digital is partnering with a high-growth deep-tech AI scale-up building on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores globally. Their platform powers real-time computer vision and PoS automation across large, distributed retail environments. This is production-grade AI operating at significant scale.
This role is for engineers who enjoy deep troubleshooting, systems thinking, and hands-on ownership across complex, live environments. If you like pulling systems apart, debugging across devices, networks, cloud services, and AI behaviour, and being the technical authority when things get complex, this role will suit you well.
What You’ll Be Doing
- Own the technical success of enterprise deployments across thousands of PoS and on-device systems
- Troubleshoot end-to-end across:
- AI model behaviour
- Device integrations and performance
- Store networks and connectivity
- Cloud infrastructure and data flows
- Analyse logs, metrics, and telemetry (Grafana, Metabase) to identify root cause
- Work hands-on with Linux, SQL, Docker, and cloud platforms (AWS / GCP / Azure)
- Lead pilots, rollouts, and on-device testing across major retail estates
- Manage incidents from first alert through to identifying product-level or architectural issues
- Collaborate closely with Engineering, ML, and Product teams to improve reliability and performance
- Translate complex technical issues into clear, confident guidance for enterprise retail stakeholders
- Act as the dedicated technical point of contact for strategic global accounts
Ideal Background
- You’re a hands-on, client-facing technical engineer with real ownership experience in live production environments.
- You’re comfortable moving between:
- Low-level debugging
- System-level reasoning
- Clear, confident communication with non-technical stakeholders
- Experience within RetailTech, SaaS, PoS systems, computer vision, IoT, or distributed systems is highly relevant.
Technical Requirements
- Strong troubleshooting experience across:
- Linux (OS-level commands and diagnostics)
- SQL (querying and debugging data issues)
- Docker / containerised services
- Cloud platforms (AWS, GCP, or Azure)
- Log analysis, monitoring, and performance metrics
- Diagnosing issues spanning:
- AI models
- APIs and integrations
- Networks
- Device hardware
- Cloud layers
- You’re fluent in technical terminology and acronyms, and able to explain complex systems clearly and credibly.
Highly Relevant Backgrounds
- Technical Support Engineer (L2 / L3)
- Solutions Engineer (deeply technical)
- Platform Support Engineer / SRE-lite
- Technical Account Manager with hands-on ownership
- Engineers experienced with distributed systems, IoT, or ML/AI platforms
Why Join?
- Work across AI, computer vision, hardware, and cloud technologies
- Significant technical variety, no two problems are the same
- Direct input into product and technical decision-making
- Equity with meaningful upside
- Real-world impact across thousands of retail devices globally
- Customer-facing work without sacrificing technical depth
If you’re a strong technical problem-solver who enjoys complex systems and customer-facing engineering in modern AI environments, we’d love to speak with you.
Technical Solutions Engineer - Deep-Tech AI (RetailTech / Computer Vision) in City of London employer: Urban Digital Recruitment Ltd
Urban Digital is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of deep-tech AI. With a focus on employee growth, you will have the opportunity to engage with cutting-edge technologies while making a tangible impact across global retail environments. The hybrid working model in London allows for flexibility, ensuring a healthy work-life balance while being part of a high-growth scale-up that values your technical expertise and contributions.
Contact Details:
Urban Digital Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Technical Solutions Engineer - Deep-Tech AI (RetailTech / Computer Vision) in City of London
✨Tip Number 1
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 RetailTech or AI. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Linux, SQL, Docker, or cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those tricky technical interviews! Brush up on your troubleshooting techniques and be ready to explain complex systems clearly. Practice makes perfect, so consider mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about deep-tech AI. Your next big opportunity could be just a click away, so get your application in and let’s make it happen!
We think you need these skills to ace Technical Solutions Engineer - Deep-Tech AI (RetailTech / Computer Vision) in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Technical Solutions Engineer role. Highlight your troubleshooting experience, especially with Linux, SQL, and cloud platforms, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about deep-tech AI and how your background in RetailTech or similar fields makes you a great fit. Be sure to mention any hands-on experience you've had with complex systems.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled technical challenges in the past. We love seeing candidates who can break down complex issues and communicate solutions clearly, especially to non-technical stakeholders.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Urban Digital Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical requirements listed in the job description. Brush up on your Linux commands, SQL queries, and Docker usage. Being able to discuss these topics confidently will show that you’re ready to tackle the hands-on challenges of the role.
✨Prepare for Troubleshooting Scenarios
Expect to be asked about your troubleshooting experience. Prepare specific examples where you’ve diagnosed and resolved complex issues, especially in live production environments. This will demonstrate your problem-solving skills and your ability to think critically under pressure.
✨Communicate Clearly with Non-Techies
Since this role involves translating complex technical issues to non-technical stakeholders, practice explaining intricate concepts in simple terms. This will help you showcase your communication skills, which are just as important as your technical expertise.
✨Research the Company and Its Tech
Familiarise yourself with Urban Digital and their AI platform. Understanding their technology and how it operates in retail environments will not only impress your interviewers but also allow you to ask insightful questions, showing your genuine interest in the role.
