diff --git a/nncf/__init__.py b/nncf/__init__.py
index 169cfbe444e..eedc32968df 100644
--- a/nncf/__init__.py
+++ b/nncf/__init__.py
@@ -32,8 +32,8 @@
 _SUPPORTED_FRAMEWORKS = ["torch", "tensorflow", "onnx", "openvino"]
 
 
-from importlib.util import find_spec as _find_spec  # pylint:disable=wrong-import-position
-from pathlib import Path as _Path  # pylint:disable=wrong-import-position
+from importlib.util import find_spec as _find_spec  # noqa: E402 # pylint:disable=wrong-import-position
+from pathlib import Path as _Path  # noqa: E402 # pylint:disable=wrong-import-position
 
 _AVAILABLE_FRAMEWORKS = {}
 
diff --git a/tests/torch/pytorch_patch_isolated.py b/tests/torch/pytorch_patch_isolated.py
index 8106fb5d526..a83d6e3d42a 100644
--- a/tests/torch/pytorch_patch_isolated.py
+++ b/tests/torch/pytorch_patch_isolated.py
@@ -69,7 +69,7 @@ def test_jit_script_exception_preserves_patching_isolated():
 
     try:
         torch.jit.script(compressed_model)  # supposed to fail since torch.jit.script does not support NNCF models
-    except:  # pylint:disable=bare-except
+    except:  # noqa: E722 # pylint:disable=bare-except
         pass
 
     # torch.nn.Module.__call__ is one of the fundamental patched functions, if the code object points to NNCF code,