AI Engineer (Infrastructure SRE & Automation)
HybridLeeds, England, United Kingdom or Livingston, Scotland, United Kingdom
Job Summary
Design and deploy AI-powered automation frameworks for incident response and remediation, integrating capabilities into CI/CD pipelines and infrastructure-as-code ecosystems. Build and maintain telemetry data pipelines while developing ML models for anomaly detection, incident prediction, and root cause analysis across distributed systems. Define SLIs/SLOs for AI systems embedded in infrastructure workflows and implement feedback loops to continuously improve model performance. Work closely with SRE, platform, and cloud engineering teams to embed autonomous remediation and reduce manual operational workload. Hybrid working involves two days in the office at Osterley, Livingston, or Leeds.
Required Qualifications
- Strong experience in AI engineering, particularly in operational or systems contexts
- Practical experience of SRE principles (SLIs, SLOs, error budgets, incident management)
- Strong experience of cloud platforms
- Proficiency in Python (or similar)
- The hybrid working expectations for this role are 2 days in the office per week
- Your office base : Osterley (West London), Livingston (Watermark), or Leeds (Whitehall)
- To be eligible for this role you are required to have the appropriate right to work in the UK
Desired Qualifications
- Familiarity with LLMs for operational tooling (e.g., incident summarization, runbook automation)
- Experience building AIOps or autonomous operations platforms
- Proven track record in reducing manual operational workload across SRE teams
- Proven track record in reducing the Mean Time to Recovery (MTTR) through automated remediation
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.