Senior AI Platform Engineer

Wave Group; Greater London; Hybrid; GBP 69,000 - 115,000; Full time

Benefits offered by this job

Private medical

Share schemes

Learning allowance

Flexible working

Job summary

Wave Group in London is seeking a Senior AI Platform Engineer to own the foundational AI infrastructure, including hosting and serving ML/GenAI models at scale within a hybrid setup. You will lead the LLM gateway standardisation, monitoring and quota management, while building robust frameworks and integrating third-party AI tools.

The role requires hands-on cloud and Kubernetes expertise, with a strong emphasis on scale, cost control and Responsible AI practices.

Qualifications

• Strong platform and cloud engineering background with experience hosting ML/GenAI models.
• Hands-on experience with LLM-based applications and related tooling.
• Ability to work across Data Science, Engineering, Product and Security teams.

Responsibilities

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

Skills

Platform engineering

Cloud infrastructure

Kubernetes

AWS

LLM applications

RAG

Vector databases

Agent frameworks

Cross-functional collaboration

Tools

Serverless

Cost dashboards

Monitoring frameworks

Job description

Senior AI Platform Engineer | London (Hybrid) | Up to £115,000

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.

What you'll be working on

• 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

What they're looking for

• 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

Why it's worth a look

• 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.