AI Engineer – Up to £115,000 – London Hybrid (2 days a week)
A high-impact AI Engineer hire inside a fintech business building production-grade AI products from the ground up.
This is a rare opportunity to join a small, fast-moving AI team with real ownership over greenfield products — shipping GenAI applications that directly influence how a market-leading lending platform operates.
⚡ Greenfield AI | Real ownership | High-impact team
The Opportunity
Join a cross-functional AI and Machine Learning team operating like a startup within an established, publicly listed fintech business.
Projects are 80–90% greenfield. You'll bridge the gap between data science POCs and production-grade systems, owning AI products from experimentation through to live deployment.
This is a role for engineers who want to build, ship and own — not just advise.
About the Role You'll be building and shipping GenAI applications end-to-end into production.
- Own how AI systems integrate with existing product infrastructure
- Handle real-world failure states and production engineering decisions
- Collaborate closely with data scientists, platform engineers and PMs
- Contribute to best practices for AI product development across the business
- Mentor teammates and stay current in a fast-moving space
You'll work exclusively in Python with FastAPI. Strong software engineering fundamentals matter here as much as AI experience.
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AI Engineer – Up to £115,000 – London Hybrid (2 days a week)
A high-impact AI Engineer hire inside a fintech business building production-grade AI products from the ground up.
This is a rare opportunity to join a small, fast-moving AI team with real ownership over greenfield products — shipping GenAI applications that directly influence how a market-leading lending platform operates.
⚡ Greenfield AI | Real ownership | High-impact team
The Opportunity
Join a cross-functional AI and Machine Learning team operating like a startup within an established, publicly listed fintech business.
Projects are 80–90% greenfield. You’ll bridge the gap between data science POCs and production-grade systems, owning AI products from experimentation through to live deployment.
This is a role for engineers who want to build, ship and own — not just advise.
About the Role You’ll be building and shipping GenAI applications end-to-end into production.
- Own how AI systems integrate with existing product infrastructure
- Handle real-world failure states and production engineering decisions
- Collaborate closely with data scientists, platform engineers and PMs
- Contribute to best practices for AI product development across the business
- Mentor teammates and stay current in a fast-moving space
You’ll work exclusively in Python with FastAPI. Strong software engineering fundamentals matter here as much as AI experience.
What You’ll Be Working On …