The paper describes an approach to developing a machine learning ontology, based on the methodology for constructing ontologies of scientific subject domains, developed in A.P. Ershov Institute of Informatics Systems. A brief overview of the basic concepts and terms of machine learning (ML) and known developed ontologies related to this field is given. The paper also provides a brief description of the methodology for constructing ontologies of scientific subject domains, and describes the ontology design patterns developed within the framework of this methodology to represent the basic concepts of the ML subject domain. The developed ML ontology will be used to build an intelligent scientific Internet resource on machine learning that will provide content-based access to systematized knowledge and data in the field of ML, helping users in choosing methods, models and data sets necessary to solve their practical problems.