Machine learning enhances search engine capabilities by improving relevance and accuracy of search results. Algorithms analyze vast amounts of data to understand user intent, behavior, and trends, allowing search engines to provide tailored results based on contextual information. Techniques like natural language processing (NLP) enable better understanding of queries, while continuous learning from user interactions allows the system to adapt and refine its performance over time. These advancements result in more efficient and effective search experiences for users.