Solutions Engineer - Waterloo

Required Skills

• AI
• ML
• Python
• JavaScript

Job Summary

Solution Engineer - Enterprise AI (6-Month Contract)

Waterloo, London, Onsite: 5 days per week

£650 - £700 per day

Duration: 6 months

About the Role

This is not a high-level advisory role. As a Solution Engineer you will be on the ground, coding, designing, and deploying full-stack AI-driven web applications directly on this AI Platform.

You will bridge the gap between complex AI engineering and customer-facing delivery. You will work directly with major enterprise clients to build custom demos, proofs-of-technology, and production-ready applications.

What You Will Do

• Build & Deploy: Engineer full-stack, AI-based enterprise applications using Python and JavaScript.
• Client Delivery: Run technical deep-dives, demonstrations, and system training for enterprise customers.
• Review & Troubleshoot: Conduct code reviews, test customer applications, and resolve technical bottlenecks.
• Mentor: Guide junior developers on coding standards and system design.
• Collaborate: Work alongside product and engineering teams to feed customer insights back into the core platform.

What You Bring

• Hands-on Code: At least 2+ years of professional software development experience (OOP).
• Tech Stack: Proficiency in Python and JavaScript, alongside modern frameworks (React, Angular, Vue, etc.).
• Cloud & Data: Proven experience deploying to AWS, GCP, or Azure, alongside a strong understanding of SQL/NoSQL databases.
• Communication: Exceptional client-facing skills. You must be comfortable presenting to and collaborating with technical and non-technical stakeholders.
• Education: A Bachelor’s degree in a STEM subject (or equivalent practical experience).

This position is strictly 5 days a week onsite at the Waterloo office and requires active SC clearance

• AI
• ML
• Python
• JavaScript, * Hands-on Code: At least 2+ years of professional software development experience (OOP).
• Tech Stack: Proficiency in Python and JavaScript, alongside modern frameworks (React, Angular, Vue, etc.).
• Cloud & Data: Proven experience deploying to AWS, GCP, or Azure, alongside a strong understanding of SQL/NoSQL databases.
• Communication: Exceptional client-facing skills. You must be comfortable presenting to and collaborating with technical and non-technical stakeholders.
• Education: A Bachelor’s degree in a STEM subject (or equivalent practical experience).