Systems, methods, and apparatuses for implementing machine learning models for smart contracts using distributed ledger technologies in a cloud based computing environment are described herein. For example, according to one embodiment there is a system having at least a processor and a memory therein executing within a host organization and having therein: means for operating a blockchain interface to a blockchain on behalf of a plurality of tenants of the host organization, in which each one of the plurality of tenants operate as a participating node with access to the blockchain; receiving historical data from each of the participating nodes on the blockchain; generating a new machine learning model at the host organization by inputting the historical data received from the participating nodes into a neural network of a machine learning platform operating at the host organization; receiving a consensus agreement from the plurality of participating nodes; deploying the new machine learning model to the participating nodes as a component of a smart contract to be executed in fulfillment of the smart contract transactions; receiving a transaction at the blockchain and responsively triggering the smart contract to process the transaction onto the blockchain; and executing the smart contract which includes executing the new machine learning model as part of the smart contract. Other related embodiments are disclosed.