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# AI Software Engineer

- **Company:** Searchability
- **Location:** London, UK (Remote available)
- **Salary:** £45,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, TypeScript, Large Language Models
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5895065745

## About the Role

We care more about capability and attitude than job titles or years of experience. This role suits someone at junior to mid-level who wants to grow quickly in applied AI.

Essential:

 * A solid understanding of AI fundamentals, including modern LLMs and traditional ML
 * Ability to contribute technically when needed (coding, prototyping, or technical explanation)
 * Experience working with stakeholders or clients, or a strong interest in doing so
 * Clear written and verbal communication skills
 * A proactive mindset - using quieter periods to learn, improve systems, or add value

Nice to have (but not required)

 * Python, TypeScript, or similar languages
 * Familiarity with modern AI frameworks (e.g. LangChain or LangGraph)
 * Cloud experience (AWS, Azure, or GCP)
 * Experience delivering work for UK government organisations
 * Active SC or DV clearance

## Description

We're hiring an AI Software Engineer to join a small, delivery-focused AI consultancy working with UK government and enterprise clients.

This is a hands-on role for someone early to mid-career who wants exposure to real customers, real problems, and real AI systems in production. You'll work across the full lifecycle - from understanding a client's problem, to shaping solutions, to building and delivering working systems.

There's no rigid role definition and no heavy hierarchy. You're trusted to take ownership, learn quickly, and contribute where you can add the most value., * Designing and building AI-powered systems using Python, TypeScript, or similar

 * Working with LLMs and traditional ML models to solve real-world problems
 * Supporting solution and architecture design for AI systems
 * Collaborating directly with clients to understand requirements and constraints
 * Participating in (or running) discovery workshops and technical demos
 * Explaining technical concepts clearly to non-technical stakeholders
 * Building prototypes, proofs of concept, and internal tools

You'll often switch between technical delivery and client-facing work - sometimes in the same day.


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