MLflow can contribute to the lifecycle management of machine learning models by providing a centralized platform for tracking experiments, managing models, and deploying models to production. With MLflow, you can easily version your models, reproduce experiments, and collaborate with team members. Additionally, MLflow integrates with popular machine learning frameworks and cloud-based services, making it easy to deploy and monitor your models in production environments.