Is loss the same thing as variance?
No. Loss measures the error between your predicted values and true values in a given train set. Whereas variance mesures how your model performs (i.e. how the loss changes) on different training sets. Also, variance is an atribute of a given model whereas loss depends on your dataset.

In other words, we can also say that loss on different sets is used to measure variance of a given model.