Summary

The senior MLOps engineer builds and operates cloud-based ML and AI platforms, tooling, and customer-facing products. This is a hybrid, hands-on role with technical leadership across MLOps infrastructure and agentic AI systems.

Responsibilities

• Standardise deployment of ML and AI products
• Automate service modernisation and dependency remediation
• Improve cost tracking across ML platforms
• Evaluate platform options and shape technical strategy
• Mentor engineers and document shared standards
• Support governed monitoring and automated deployments