Senior AI Deployment Engineer: Production LLMs & Guardrails

Oliver Bernard; Greater London; On-site; GBP 69,000 - 115,000; Full time

Job summary

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

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 deployment

AI governance

Stakeholder collaboration

Tools

LLM orchestration

RAG pipelines

Job description

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