diff --git a/thinc/tests/backends/test_ops.py b/thinc/tests/backends/test_ops.py
index e08d3f319..57a3a706f 100644
--- a/thinc/tests/backends/test_ops.py
+++ b/thinc/tests/backends/test_ops.py
@@ -1383,8 +1383,7 @@ def test_lstm_forward_training(ops, depth, dirs, nO, batch_size, nI):
     assert_allclose(Y, reference[0], atol=1e-4, rtol=1e-3)
 
 
-@pytest.mark.skipif(platform.machine() == "aarch64", reason="Flaky, skip temporarily")
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @pytest.mark.parametrize("ops", XP_OPS)
 @settings(max_examples=MAX_EXAMPLES, deadline=None)
 @given(args=draw_lstm_args())
diff --git a/thinc/tests/layers/test_linear.py b/thinc/tests/layers/test_linear.py
index cab517560..b1752fba2 100644
--- a/thinc/tests/layers/test_linear.py
+++ b/thinc/tests/layers/test_linear.py
@@ -1,5 +1,3 @@
-import platform
-
 import numpy
 import pytest
 from hypothesis import given, settings
@@ -36,7 +34,7 @@ def test_linear_dimensions_on_data():
     y.max.assert_called_with()
 
 
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @given(arrays_OI_O_BI(max_batch=8, max_out=8, max_in=8))
 def test_begin_update_matches_predict(W_b_input):
     model = get_model(W_b_input)
@@ -47,7 +45,7 @@ def test_begin_update_matches_predict(W_b_input):
     assert_allclose(fwd_via_begin_update, fwd_via_predict_batch)
 
 
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @given(arrays_OI_O_BI(max_batch=8, max_out=8, max_in=8))
 def test_finish_update_calls_optimizer_with_weights(W_b_input):
     model = get_model(W_b_input)
@@ -69,7 +67,7 @@ def sgd(key, data, gradient, **kwargs):
         assert (model.id, name) in seen_keys
 
 
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @settings(max_examples=100)
 @given(arrays_OI_O_BI(max_batch=8, max_out=8, max_in=8))
 def test_predict_small(W_b_input):
@@ -92,7 +90,7 @@ def test_predict_small(W_b_input):
     assert_allclose(predicted_output, expected_output, rtol=0.01, atol=0.01)
 
 
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @given(arrays_OI_O_BI(max_batch=20, max_out=30, max_in=30))
 @settings(deadline=None)
 def test_predict_extensive(W_b_input):
@@ -115,7 +113,7 @@ def test_predict_extensive(W_b_input):
     assert_allclose(predicted_output, expected_output, rtol=1e-04, atol=0.0001)
 
 
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @given(arrays_OI_O_BI(max_batch=8, max_out=8, max_in=8))
 def test_dropout_gives_zero_activations(W_b_input):
     model = chain(get_model(W_b_input), Dropout(1.0))
@@ -125,7 +123,7 @@ def test_dropout_gives_zero_activations(W_b_input):
     assert all(val == 0.0 for val in fwd_dropped.flatten())
 
 
-@pytest.mark.skipif(platform.machine() == "win_amd64", reason="Flaky, skip temporarily")
+@pytest.mark.skip(reason="Flaky, skip temporarily")
 @given(arrays_OI_O_BI(max_batch=8, max_out=8, max_in=8))
 def test_dropout_gives_zero_gradients(W_b_input):
     model = chain(get_model(W_b_input), Dropout(1.0))