Talent · AI and Data
MLOps and LLMOps Engineer
An engineer who keeps AI systems running once they are live: releases, monitoring, cost and model upgrades.
What they do
- Automates model and prompt releases
- Sets up tracing, test runs and alerts
- Keeps model spend and quotas in check
- Handles model version upgrades
- Secures the AI infrastructure
When to bring one in
- An AI system is live and someone has to run it
- Costs or answer quality are slipping
- Auditors want a log of what the AI did
Specification
- Core skills
- CI/CD for AI, Observability, Cloud infrastructure, Security, Cost optimisation
- Tools
- Langfuse, MLflow, OpenTelemetry, Kubernetes, Terraform, AWS Bedrock, Azure AI Foundry, Vertex AI
Seniority
Mid level3 to 5 years
Runs existing pipelines
Senior5 to 8 years
Designs how AI is operated
Lead8+ years
Leads AI platform engineering
Request
Request an MLOps and LLMOps Engineer
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