diff --git a/pandas/core/ops/__init__.py b/pandas/core/ops/__init__.py
index f3c1a609d50a1..410bb3ac9f162 100644
--- a/pandas/core/ops/__init__.py
+++ b/pandas/core/ops/__init__.py
@@ -374,7 +374,6 @@ def dispatch_to_series(left, right, func, str_rep=None, axis=None):
     """
     # Note: we use iloc to access columns for compat with cases
     #       with non-unique columns.
-    import pandas.core.computation.expressions as expressions
 
     right = lib.item_from_zerodim(right)
     if lib.is_scalar(right) or np.ndim(right) == 0:
@@ -419,7 +418,7 @@ def column_op(a, b):
         # Remaining cases have less-obvious dispatch rules
         raise NotImplementedError(right)
 
-    new_data = expressions.evaluate(column_op, str_rep, left, right)
+    new_data = column_op(left, right)
     return new_data
 
 
diff --git a/pandas/tests/test_expressions.py b/pandas/tests/test_expressions.py
index fadab5d821470..d6560c6341021 100644
--- a/pandas/tests/test_expressions.py
+++ b/pandas/tests/test_expressions.py
@@ -95,7 +95,10 @@ def run_binary(self, df, other):
                 expr.get_test_result()
                 result = op(df, other)
                 used_numexpr = expr.get_test_result()
-                assert used_numexpr, "Did not use numexpr as expected."
+
+                # We don't currently use numexpr for comparisons in Series,
+                #  so dont for DataFrame either.
+                assert not used_numexpr, "unexpectedly numexpr as expected."
                 tm.assert_equal(expected, result)
 
     def run_frame(self, df, other, run_binary=True):