Generating machine learning systems using slave server computers

A computer system comprising:

• a first server computer comprising:
• one or more first processors;
• first memory storing first instructions which, when executed by the one or more first processors, cause performance of:
• storing one or more machine learning training datasets comprising input data and verified output data;
• receiving a particular input dataset and a request to run a machine learning system with the particular input dataset;
• sending, to a second server computer separate from the first server computer, the particular input dataset, a particular machine learning training dataset of the one or more machine learning training datasets, and one or more particular configuration files for building a machine learning system;
• a second server computer comprising:
• one or more second processors;
• second memory storing second instructions which, when executed by the one or more second processors, cause performance of:
• receiving, from the first server computer, the particular input dataset, the particular machine learning training dataset, and the one or more particular configuration files;
• processing the particular input dataset with a particular machine learning system by:
• configuring the particular machine learning system using the one or more particular configuration files;
• training the particular machine learning system using the particular machine learning training dataset;
• using the particular input dataset as input into the particular machine learning system, computing a particular output dataset;
• sending the particular output dataset to the first server computer.