Senior AI Platform Engineer

• Designing and building cloud infrastructure for hosting and serving ML and GenAI models at scale
• Owning the LLM gateway - standardising model usage, monitoring, cost control, and quotas across the business
• Building frameworks and tooling that make AI development consistent and governable
• Integrating and evaluating third-party AI tools and agent frameworks
• Shaping Responsible AI practices into the platform from day one

• Strong platform and cloud engineering background - AWS preferred, but open on background if the fundamentals are there
• Solid Kubernetes experience (around 80% of the role), with some serverless on top
• Hands-on experience with LLM-based applications - RAG, vector databases, agent frameworks
• Product-minded and commercially aware - this isn’t a pure SRE or ops profile
• Comfortable working across Data Science, Engineering, Product, and Security stakeholders

• Joining at the right time - the platform is being built now, and you’ll shape how it evolves
• Real ownership over foundational infrastructure the whole business will depend on
• Fintech scale with public company stability - restless energy, serious backing
• Up to £115,000 + strong benefits including private medical, share schemes, learning allowance, and flexible working
• Hybrid, 2 days in the London office

If you’re a platform or cloud engineer looking to move into the AI infrastructure space or already there and want to go deeper this is a strong move. #J-18808-Ljbffr

We’re partnering with a leading UK fintech on a senior hire inside their AI and Machine Learning team.

This is a platform-first role. The team is building the foundational AI infrastructure the rest of the business will run on and right now, that’s the priority. Think LLM API gateway, model standardisation, cost dashboards, monitoring, quota management, and internal agent tooling. The kind of work that matters more the bigger the organisation gets.