diff --git a/.github/workflows/ci-build.yaml b/.github/workflows/ci-build.yaml
index 09f169548796..edd6e8fc29e3 100644
--- a/.github/workflows/ci-build.yaml
+++ b/.github/workflows/ci-build.yaml
@@ -175,7 +175,7 @@ jobs:
       run: |
         pip install uv~=0.5.30
         uv pip install --system .[minimum-jaxlib] -r build/test-requirements.txt
-        uv pip install --system --pre tensorflow==2.19.0rc0
+        uv pip install --system --pre tensorflow==2.19.0
 
     - name: Run tests
       env:
diff --git a/jax/experimental/jax2tf/tests/jax2tf_test.py b/jax/experimental/jax2tf/tests/jax2tf_test.py
index ece88841fdc5..bde148cb514e 100644
--- a/jax/experimental/jax2tf/tests/jax2tf_test.py
+++ b/jax/experimental/jax2tf/tests/jax2tf_test.py
@@ -48,11 +48,17 @@
 config.parse_flags_with_absl()
 
 
-@unittest.skip("Failing after jax 0.6.1 release")
 class Jax2TfTest(tf_test_util.JaxToTfTestCase):
 
   def setUp(self):
     super().setUp()
+    versions = tf.version.VERSION.split(".")
+    if versions < ["2", "19", "1"]:
+      # StableHLO changed on March 18th, 2025 ,to version 1.10.0, and this
+      # introduces ops like vhlo_sine_v2. These ops require a TF version
+      # released after this date.
+      self.skipTest("Need version of TensorFlow at least 2.19.1")
+
     # One TF device of each device_type
     self.tf_devices = []
     for tf_device in (tf.config.list_logical_devices("TPU") +
@@ -1783,11 +1789,17 @@ def func():
     jax_result = func()
     self.assertEqual(tf_result, jax_result)
 
-@unittest.skip("Failing after jax 0.6.1 release")
+
 class Jax2TfVersioningTest(tf_test_util.JaxToTfTestCase):
   # Use a separate test case with the default jax_serialization_version
   def setUp(self):
     self.use_max_serialization_version = False
+    versions = tf.version.VERSION.split(".")
+    if versions < ["2", "19", "1"]:
+      # StableHLO changed on March 18th, 2025 ,to version 1.10.0, and this
+      # introduces ops like vhlo_sine_v2. These ops require a TF version
+      # released after this date.
+      self.skipTest("Need version of TensorFlow at least 2.19.1")
     super().setUp()
 
   @jtu.ignore_warning(