In this article, we consider a family of uniform distributions as a statistical model. Assuming that the prior distribution has a smooth, positive density on the parameter space, we prove the large deviation
principle of the posterior distributions. We derive the rate functions explicitly. To this end, we apply the Gartner-Ellis theorem to the posterior distributions of the reciprocal of the parameter.