Senior Forward Deployed AI Engineer - Up to £115k + bonus

Oliver Bernard; Greater London; In loco; GBP 69.000 - 115.000; Tempo pieno

Descrizione del lavoro

Oliver Bernard is partnering with a high-growth UK fintech and digital wealth management platform in Central London to hire a Senior Forward Deployed AI Engineer. You will own AI engagements end-to-end, turning strategy into production capability and collaborating with Data Science, Engineering and business stakeholders.

You will build production-grade AI solutions, including LLMs, pipelines, agents and workflows, develop evals and guardrails, and deploy components into live customer

Competenze

• 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.

Mansioni

• 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.

Conoscenze

LLM deployment

AI governance

Stakeholder collaboration

Strumenti

LLM orchestration

RAG pipelines

Descrizione del lavoro

Senior Forward Deployed AI Engineer - Up to £115k + bonus

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.

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

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