If the prior is a uniform distribution and you take the mode of the posterior as the parameter estimate then this is the same as the maximum likelihood estimator.

So the Bayesian approach is like a more rigorous and general approach to describing possible parameter values with MLE just a small subset of this method.

Is MLE even frequentist? Like the Bayesian approach it puts the data first rather than the model first.