diff --git a/backends/arm/test/common.py b/backends/arm/test/common.py
index 9fd85b5f283..b9dc9b00725 100644
--- a/backends/arm/test/common.py
+++ b/backends/arm/test/common.py
@@ -237,6 +237,7 @@ def parametrize(
     arg_name: str,
     test_data: dict[str, Any],
     xfails: dict[str, xfail_type] | None = None,
+    skips: dict[str, str] | None = None,
     strict: bool = True,
     flakies: dict[str, int] | None = None,
 ) -> Decorator:
@@ -249,6 +250,8 @@ def parametrize(
     """
     if xfails is None:
         xfails = {}
+    if skips is None:
+        skips = {}
     if flakies is None:
         flakies = {}
 
@@ -259,6 +262,9 @@ def decorator_func(func: Callable[_P, _R]) -> Callable[_P, _R]:
             if id in flakies:
                 # Mark this parameter as flaky with given reruns
                 marker = (pytest.mark.flaky(reruns=flakies[id]),)
+            elif id in skips:
+                # fail markers do not work with 'buck' based ci, so use skip instead
+                marker = (pytest.mark.skip(reason=skips[id]),)
             elif id in xfails:
                 xfail_info = xfails[id]
                 reason = ""
diff --git a/backends/arm/test/ops/test_linear.py b/backends/arm/test/ops/test_linear.py
index 952befeeffa..b63d7c10b34 100644
--- a/backends/arm/test/ops/test_linear.py
+++ b/backends/arm/test/ops/test_linear.py
@@ -308,18 +308,24 @@ def test_linear_16a8w_tosa_INT(test_data: torch.Tensor):
 
 
 x_fails = {}
+x_skips = {}
+
 for test_name in [
     "model_linear_rank4_zeros",
     "model_linear_rank4_negative_ones",
     "model_linear_rank4_negative_large_rand",
 ]:
     for set_per_chan in ["True", "False"]:
-        x_fails[test_name + ",per_channel_quant={}".format(set_per_chan)] = (
+        key = test_name + ",per_channel_quant={}".format(set_per_chan)
+        reason = (
             "MLETORCH-1452: AssertionError: Output 0 does not match reference output."
         )
+        x_fails[key] = reason
+        # TODO: Check why xfail doesn't work for this buck target. In the interim rely on skip
+        x_skips[key] = reason
 
 
-@common.parametrize("test_data", test_data_all_16a8w, x_fails)
+@common.parametrize("test_data", test_data_all_16a8w, xfails=x_fails, skips=x_skips)
 @common.XfailIfNoCorstone300
 def test_linear_16a8w_u55_INT16(test_data: torch.Tensor):
     """Test linear operation with 16A8W quantization on U55 (16-bit activations, 8-bit weights)"""