Senior Applied AI Engineer - London, hybrid

Oliver Bernard; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Oliver Bernard in London is seeking a Senior Applied AI Engineer to join our hybrid work setup. You will own AI engagements end-to-end, delivering production-grade AI solutions, including LLMs, pipelines, agents and workflows, aligned with an ambitious AI roadmap.

You will collaborate closely with Data Science, Decisioning, Engineering and non-technical stakeholders to deploy AI components into live customer-facing environments, optimise costs and ensure robust evals and guardrails.

Qualifications

• Proven experience shipping LLM-powered systems into production.
• Hands-on experience with LLM APIs, agents, orchestration, tool use, structured outputs and RAG.
• Strong understanding of LLM evaluation, regression testing and quality measurement.
• Experience implementing AI safety and guardrails, including PII, prompt injection and human-in-the-loop approaches.

Responsibilities

• Own AI engagements end-to-end, from identifying the problem through to production and handover.
• Build production-grade AI solutions, including LLMs, pipelines, agents and workflows.
• Develop and implement evals, guardrails, monitoring and cost/accuracy optimisation.
• Deploy ML and AI components into live customer-facing environments.
• Work closely with Data Science, Decisioning, Engineering and non-technical stakeholders.

Skills

LLM-powered systems

LLM APIs

AI safety

RAG

Evaluation

Job description

Senior Applied AI Engineer - London, hybrid

Central London

I’m working with a high-growth UK fintech and digital wealth management platform that helps millions of customers take control of their financial future. With significant scale, an ambitious technology roadmap and increasing investment in AI, it's an exciting time to join the business.

They’re now investing heavily in AI and building a brand-new AI Deployment function to turn the company’s AI strategy into real production capability.

Experience required:

• Proven experience building and shipping LLM-powered systems into production
• Hands-on experience with LLM APIs, agents, orchestration, tool use, structured outputs and RAG
• Strong understanding of LLM evaluation, regression testing and quality measurement
• Experience implementing AI safety and guardrails, including PII, prompt injection and human-in-the-loop approaches

Key responsibilities:

• Own AI engagements end-to-end, from identifying the problem through to production and handover
• Build production-grade AI solutions, including LLMs, pipelines, agents and workflows
• Develop and implement evals, guardrails, monitoring and cost/accuracy optimisation
• Deploy ML and AI components into live customer-facing environments
• Work closely with Data Science, Decisioning, Engineering and non-technical stakeholders

Central London

Senior Applied AI Engineer - London, hybrid