
MLOps Field Engineer
Canonical seeks an MLOps Field Engineer to work remotely worldwide, designing ML architectures and deploying AI/ML infrastructures and data pipelines using Ubuntu, Kubernetes, Kubeflow, MLflow, Feast, DVC and cloud platforms (AWS, Azure, GCP). The role is customer-facing, involves hands-on deployment, architecture, Python-based operator and IaC work, collaboration with sales and product teams, and up to ~30% global travel.