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 variety and direct influence on product decisions.
- Why this job: Make a real-world impact with AI while solving complex technical challenges.
- Qualifications: Hands-on experience in troubleshooting, cloud platforms, and clear communication with stakeholders.
The predicted salary is between 80000 - 90000 £ per year.
London (Hybrid – 1 day onsite) £80–90k + Bonus + Equity
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.
They’re hiring a Technical Solutions Engineer to take full technical ownership of enterprise deployments and ongoing account success (technically). This is not a TAM, not a PM, and not an implementation role. 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
Interested? 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) employer: Urban Digital Recruitment Ltd
Urban Digital is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration in the fast-paced world of deep-tech AI. With a focus on employee growth, you will have the opportunity to engage in significant technical challenges while contributing to impactful projects across global retail environments. The hybrid working model allows for flexibility, and the potential for equity ensures that your contributions are recognised and rewarded.
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)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI, computer vision, or troubleshooting. This gives you a chance to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for technical interviews by brushing up on your troubleshooting techniques and system-level reasoning. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨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 the team and ready to take on the challenges ahead.
We think you need these skills to ace Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Technical Solutions Engineer role. Highlight your troubleshooting experience, especially in live production environments, and don’t forget to mention any relevant technologies like Linux, SQL, and cloud platforms.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you’re excited about working with deep-tech AI and how your background in RetailTech or similar fields makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills:In your application, give examples of complex technical issues you've tackled in the past. We want to see how you approach troubleshooting and your ability to communicate these challenges 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 during the process. Plus, we love seeing candidates who take that extra step!
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 not just familiar with them, but that you can apply them in real-world scenarios.
✨Prepare for Troubleshooting Scenarios
Expect to be asked about troubleshooting complex issues. Prepare some examples from your past experiences where you successfully diagnosed and resolved technical problems. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.
✨Communicate Clearly and Confidently
Since this role involves translating complex technical issues to non-technical stakeholders, practice explaining intricate concepts in simple terms. Use analogies or relatable examples to make your points clear. This will showcase your ability to bridge the gap between technical and non-technical audiences.
✨Show Enthusiasm for RetailTech and AI
Research the latest trends in RetailTech and AI, especially around computer vision and on-device systems. Showing genuine interest and knowledge about the industry will not only impress your interviewers but also help you connect your skills to the company’s mission and goals.
