The article considers the methods of machine learning and their application in the field of human resource management in the company. The reasons for the necessity of using digital technologies in the field of recruiting at energy enterprises are identified. The main tasks in personnel management that can be solved through the application of artificial intelligence technologies and machine learning algorithms are highlighted. Possible impacts of AI tools on human resource management and factors of successful implementation of machine learning technologies are analyzed. A comparative analysis of machine learning methods is made, in particular those methods that relate to learning with a teacher (supervised learning). The choice of methods that can be used to solve problems in the considered area is justified. A practical example of solving a problem related to recruiting and personnel selection is considered. The algorithm for designing a web-service for recruiting based on machine learning models for the energy industry enterprise is developed. The ways for further research in the field of application of machine learning methods for solving problems of personnel management are indicated.