Sagemaker ML Engineer

We're looking for an experienced ML engineer with strong AWS SageMaker skills to help build and maintain machine learning workflows orchestrated via Apache Airflow. What you'll be doing: Developing and managing SageMaker notebooks and training jobs Building Airflow DAGs to trigger and orchestrate SageMaker workflows Integrating SageMaker Pipelines or notebook execution into broader data pipelines Handling model training, evaluation and deployment within the AWS ecosystem Troubleshooting pipeline failures and optimising job performance What we're looking for: Proven experience with AWS SageMaker — notebooks, training jobs and endpoints Hands-on Airflow experience, specifically invoking SageMaker jobs via operators or sensors (SageMakerNotebookOperator, SageMakerTrainingOperator etc.) Comfortable working with S3, IAM and related AWS services Python proficiency — clean, well-structured pipeline code Able to work independently from technical briefs with minimal back-and-forth