AI Engineer (Infrastructure SRE & Automation)
Livingston Watermark, United Kingdom
GBP 61K-90K (estimate) Mid-level Full Time
Tasks
- Automate infrastructure workflows
- Build predictive reliability models
- Build telemetry data pipelines
- Define SLIs SLOs for AI systems
- Design AI automation for incident response
- Develop ML for anomaly detection
- Ensure data quality for ML features
- Implement intelligent alerting systems
- Implement model feedback loops
- Integrate AI into CI/CD pipelines
- Use observability tools for AI systems
Perks/Benefits
- Dental insurance
- Digital GP
- Free TV or NOW Package
- Hybrid work
- Mental health support
- Pension employer contribution
- Private healthcare
- Product Discounts
- Sharesave and Tech Schemes
- VIP rewards and experiences
Skills/Tech-stack
AIOps | Anomaly Detection | Artificial Intelligence | CI/CD | Cause analysis | Cloud Computing | Error budget | Feature Engineering | Incident Management | Infrastructure as Code | Language Models | Large Language Models | Logs | Machine Learning | Metrics | Observability | Python | Reliability Engineering | Reliability Metrics | Root Cause Analysis | Root cause | Service Level | Service-Level Objectives | Site Reliability | Site Reliability Engineering | Site Reliability Metrics | Traces | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Reliability Engineer | Site Reliability Engineer
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