Senior AI Deployment Engineer - Hybrid + Bonus

Oliver Bernard

Greater London

Hybrid

GBP 90,000 - 110,000

Full time

3 days ago
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Job summary

Oliver Bernard in London leads a cutting-edge AI deployment initiative within a leading UK wealth management platform. This senior role focuses on turning AI strategy into production capability with hands-on ownership.

You will own end-to-end AI engagements, build production-grade AI systems, and collaborate with Data Science, Engineering, and business stakeholders to deliver scalable solutions, all within a hybrid Central London setting.

Qualifications

  • 5+ years’ software engineering experience with meaningful production ownership.
  • 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.
  • CI/CD, containerisation, monitoring and alerting for AI workloads.
  • Strong data processing and pipeline fundamentals.

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

Production ownership
LLM-powered systems
LLM APIs
AI safety
CI/CD
Containerisation
Monitoring & alerting
Data pipelines
Cross-functional collaboration

Tools

LLM APIs
Agents
Orchestration
RAG

Job description

Oliver Bernard in London leads a cutting-edge AI deployment initiative within a leading UK wealth management platform. This senior role focuses on turning AI strategy into production capability with hands-on ownership.

You will own end-to-end AI engagements, build production-grade AI systems, and collaborate with Data Science, Engineering, and business stakeholders to deliver scalable solutions, all within a hybrid Central London setting.

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