Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Canonical is hiring software engineers to build open source data analytics and MLOps solutions (Kubeflow, MLflow, Airflow, Temporal, Trino) deployed on public/private clouds and Kubernetes. Requires professional Python experience, Linux skills, a technical degree, fluent English, and willingness to travel twice a year. Nice to have: machine learning, containers, public clouds, and open source contributions.

Location per source: Home based - Worldwide

Source: Canonical

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