Amazon offers a variety of ML services under its Amazon Web Services (AWS) umbrella, which can help in different aspects of machine learning, from data preparation and analysis to building and deploying machine learning models. Key services include:

1. Amazon SageMaker: This service enables data scientists and developers to prepare, build, train, and deploy high-quality machine learning models quickly. SageMaker offers a fully managed experience, allowing you to focus on the model rather than the infrastructure.
2. AWS Lambda: Although not exclusively for ML, Lambda can be used to deploy machine learning models without managing servers. It’s often used in conjunction with other AWS services.
3. Amazon Lex: This service is for building conversational interfaces using voice and text, leveraging the same technology as Amazon Alexa.
4. Amazon Rekognition: A service that makes it easy to add image and video analysis to your applications, using proven, highly scalable, deep learning technology.
5. Amazon Comprehend: This natural language processing (NLP) service uses machine learning to find insights and relationships in text.
6. Amazon Forecast: A fully managed service that uses machine learning to deliver highly accurate forecasts.
7. Amazon Personalize: This service provides real-time personalization and recommendation based on the same technology used at Amazon.com.