If you are creating ML models you should now the science - low code will not save you from biases and other pitfalls.

Imagin letting a database guy doing a ML model, then use the probability for business decisions - just to find out, that your model is crap and highly biased.

And if you know the science you usually should be able to code with Python / Pandas / Sklearn ...

I am not against good and mighty tools - but typing the code is the simplest part in ML...