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- Tasks: Own technical deployments and troubleshoot AI models across thousands of devices.
- Company: Exciting deep-tech AI start-up revolutionising on-device, self-training AI.
- Benefits: Competitive salary, bonus, equity, and hybrid work model.
- Why this job: Make a real impact in retail tech while working with cutting-edge AI.
- Qualifications: Strong troubleshooting skills in Linux, SQL, Docker, and cloud platforms.
- Other info: Fast-paced startup environment with significant career growth opportunities.
The predicted salary is between 80000 - 90000 £ per year.
London (Hybrid – 1 day per week onsite)
£80–90k + Bonus + Equity
I’m working with one of the most exciting deep-tech AI startups in London - scaling fast and building the future of on-device, self-training AI. Their tech is already live in 1,000+ Tier 1 retail stores.
They’re hiring a Technical Solutions Engineer - but not the usual TAM/implementation flavour. Think client-facing, deep troubleshooting, edge deployments, distributed systems, containers, logs, Linux, cloud, and being the technical owner of AI models running across thousands of edge devices.
If you enjoy pulling systems apart, debugging across multiple layers, and being the go-to technical partner for enterprise customers, this one’s seriously interesting.
If you’re an engineering-minded trouble shooter with strong Linux/SQL/Docker/cloud experience and you like customer interaction without losing hands-on depth - this role could be for you!
What You’ll Be Doing- Act as the technical owner for enterprise deployments across thousands of edge devices
- Troubleshoot issues end-to-end across AI models, device integrations, infrastructure, cloud services and on-device performance
- Analyse logs, system metrics and telemetry dashboards (Grafana, Metabase, etc.) to pinpoint root causes
- Work hands-on with Linux, SQL, Docker/containers and cloud fundamentals
- Lead pilots, rollouts and on-device testing across major retail estates
- Collaborate closely with engineering, ML and product teams to improve system reliability
- Own incidents from first report through to identifying production-level bugs
- Operate autonomously in a fast-paced startup environment with minimal supervision
- Translate complex technical issues into clear, actionable outcomes for enterprise clients
- Act as the dedicated technical point of contact for key customers
You’re hands-on, analytical, and comfortable taking full ownership of technical problems in live customer environments with experience supporting retailtech, computer vision, or IoT technologies (PoS, SCOs, CCTV, or connected devices).
You have a strong understanding of:
- Edge ML pipelines (model training, validation, orchestration)
- Retail IT infrastructure (PoS, SCO, store networks)
- Integration frameworks (APIs, SDKs, cloud-edge sync)
- Strong troubleshooting experience, across:
- SQL
- Linux/OS-level commands
- Docker / container tooling
- Cloud platforms (AWS/GCP/Azure)
- Log analysis & performance monitoring
Ability to diagnose issues across multiple layers: AI model behaviour, integrations, network, device, cloud.
The following backgrounds are highly relevant:
- Technical Support Engineer (L2/L3)
- Solutions Engineer
- Platform Support Engineer / SRE-lite
- A deeply technical TAM in SaaS/AI/IoT
- Experience with distributed systems, edge devices, IoT or AI/ML environments (nice to have, not essential)
- Strong communicator, confident supporting enterprise clients directly
- Thrives in ambiguity
- Comfortable with startup pace + autonomy
- Curious, analytical and loves deep problem-solving
- Customer-centric while being fundamentally engineering-minded
- Work across AI, hardware, cloud, distributed systems and edge devices
- Huge technical variety, no two issues look the same
- Direct influence on engineering, product decisions and system performance
- Equity (currently valued at £60k) + meaningful ownership in a rapidly scaling deep-tech organisation
- Real-world impact across thousands of devices in live global retail environments
- Perfect for engineers who want customer interaction without sacrificing serious technical depth
- Implementation or onboarding-focused profiles
- Customer-success leaning TAMs
- PM/project-style candidates
- Engineers without strong hands-on troubleshooting experience
- Anyone seeking a slow-moving or highly structured environment
If you’re a strong technical trouble shooter who loves autonomy, complex systems and customer-facing engineering, we’d love to speak with you.
Technical Solutions Engineer - Deep-Tech AI Start-up in Slough employer: Urban Digital Recruitment Ltd
Contact Detail:
Urban Digital Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Solutions Engineer - Deep-Tech AI Start-up in Slough
✨Tip Number 1
Get your hands dirty! Dive into the tech stack mentioned in the job description. Familiarise yourself with Linux, SQL, Docker, and cloud platforms. The more you know, the better you'll be at impressing during interviews.
✨Tip Number 2
Show off your troubleshooting skills! Prepare some real-world examples of how you've solved complex technical issues. This role is all about being the go-to person for clients, so let your problem-solving prowess shine through.
✨Tip Number 3
Network like a pro! Connect with people in the deep-tech AI space on LinkedIn or at industry events. Building relationships can lead to referrals and insider info about the company culture and expectations.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your customer-centric approach and technical depth, and don’t forget to follow up after applying!
We think you need these skills to ace Technical Solutions Engineer - Deep-Tech AI Start-up in Slough
Some tips for your application 🫡
Show Off Your Technical Skills: Make sure to highlight your hands-on experience with Linux, SQL, Docker, and cloud platforms in your application. We want to see how you’ve tackled complex technical problems in the past, so don’t hold back on those details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to troubleshooting and client interaction, as we’re looking for someone who can bridge the gap between tech and customers.
Be Clear and Concise: When describing your past roles and responsibilities, keep it straightforward. Use clear language to explain your achievements and how they relate to the job description. We appreciate clarity, especially when it comes to complex topics!
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. Plus, it’s super easy!
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 technologies mentioned in the job description, like Linux, SQL, Docker, and cloud platforms. Brush up on your troubleshooting skills and be ready to discuss specific examples of how you've tackled complex technical issues in the past.
✨Understand the Customer Perspective
Since this role involves direct interaction with enterprise clients, think about how you can translate technical jargon into clear, actionable insights for them. Prepare to share experiences where you’ve successfully communicated complex problems and solutions to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to dive deep into your problem-solving process. Think of a few challenging scenarios you’ve faced in previous roles, especially those involving edge devices or distributed systems, and explain how you approached and resolved them.
✨Demonstrate Your Passion for Innovation
This is a fast-paced startup environment, so show your enthusiasm for working with cutting-edge technology. Discuss any personal projects or interests related to AI, IoT, or retail tech that highlight your curiosity and commitment to staying ahead in the field.
