I have a ML model saved in a pkl (pickel file), I have no problem loading this model and using it for prediction, even I have a rest service that expose it, the only problem is that I load the model in every request, something like this:

https://www.analyticsvidhya.com/blog/2017/09/machine-learning-models-as-apis-using-flask/

I really want that my model just load one time like a global variable and every request useing this variable without the necessity of load the model every request

is it possible?

You can assign the model variable in settings.py. Whenever the server will start/restart django will store the model variable globally. It can be accessed like

from django.conf import settings 
print settings.my_ml_model_variable