diff --git a/src/core/src/op/random_uniform.cpp b/src/core/src/op/random_uniform.cpp
index 9f38daed887..0b0980208e6 100644
--- a/src/core/src/op/random_uniform.cpp
+++ b/src/core/src/op/random_uniform.cpp
@@ -41,8 +41,11 @@ void op::v8::RandomUniform::validate_and_infer_types() {
         NODE_VALIDATION_CHECK(this,
                               input_shape.rank() == 1,
                               "The rank of the tensor defining output shape must be equal to 1.");
+
         if (const auto& const_shape = get_constant_from_source(input_value(0))) {
             output_shape = ov::PartialShape(const_shape->cast_vector<int64_t>());
+        } else {
+            output_shape = ov::PartialShape::dynamic(input_shape[0]);
         }
     }
 
diff --git a/src/core/tests/type_prop/random_uniform.cpp b/src/core/tests/type_prop/random_uniform.cpp
index eb470cf342e..4754c2e63f3 100644
--- a/src/core/tests/type_prop/random_uniform.cpp
+++ b/src/core/tests/type_prop/random_uniform.cpp
@@ -21,6 +21,17 @@ TEST(type_prop, random_uniform_type_shape) {
     EXPECT_TRUE(r->get_output_partial_shape(0).same_scheme(PartialShape{2, 3, 4, 5}));
 }
 
+TEST(type_prop, random_uniform_param_input) {
+    auto out_shape = make_shared<opset8::Parameter>(element::i32, PartialShape{3});
+    auto min_val = make_shared<opset8::Constant>(element::i64, Shape{}, 5);
+    auto max_val = make_shared<opset8::Constant>(element::i64, Shape{}, 10);
+
+    auto r = make_shared<opset8::RandomUniform>(out_shape, min_val, max_val, element::i64, 100, 200);
+
+    EXPECT_EQ(r->get_output_element_type(0), element::i64);
+    EXPECT_EQ(r->get_output_partial_shape(0), PartialShape::dynamic(3));
+}
+
 TEST(type_prop, random_uniform_dynamic_shape) {
     auto out_shape = make_shared<opset8::Parameter>(element::i32, PartialShape{Dimension::dynamic()});
     auto min_val = make_shared<opset8::Constant>(element::i64, Shape{}, 5);