AIOps / LLM Operations

Deploying AI is only the beginning. Organisations increasingly require operational leaders capable of ensuring AI systems remain secure, observable, reliable and effective once in production.

Role Overview

• Establish AI operational processes and standards
• Monitor model, agent and workflow performance
• Define observability, incident management and support frameworks
• Manage AI deployment, release and rollback processes
• Support security, compliance and operational resilience requirements
• Drive continuous improvement across AI systems
• Ensure cost is controlled

Tools & Technologies Required

• MLflow, Weights & Biases or similar
• Monitoring and observability platforms
• CI/CD pipelines
• Cloud infrastructure
• Logging and performance management tools
• Security and governance frameworks

Nice to Have

• Site Reliability Engineering (SRE) background
• MLOps experience
• Cloud architecture knowledge
• Experience supporting regulated environments

About You

• Strong operational mindset
• Calm and methodical under pressure
• Focused on reliability and resilience
• Able to balance speed with control
• Comfortable working across engineering, security and governance teams

Benefits & Perks

• Amongst the best around.