Apache Airflow is an open-source workflow orchestration tool that is widely used for managing and automating machine learning (ML) pipelines. It allows data scientists and engineers to define, schedule, and monitor complex workflows through directed acyclic graphs (DAGs). With Airflow, users can streamline the entire ML process, from data collection and preprocessing to model training and deployment. Its flexibility and scalability make it suitable for various ML tasks, enabling teams to efficiently manage dependencies and ensure reproducibility. By integrating with cloud platforms and container orchestration tools like Kubernetes, Airflow enhances the operationalization of ML pipelines in production environments.