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Job Description

Technical Solutions Engineer – Deep-Tech AI (RetailTech / Computer Vision)

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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.