diff --git a/ci/test_wheel.sh b/ci/test_wheel.sh
index 86eef035cd..9f473b1890 100755
--- a/ci/test_wheel.sh
+++ b/ci/test_wheel.sh
@@ -35,9 +35,13 @@ rapids-logger "pytest cuml single GPU"
   -k 'test_sparse_pca_inputs' \
   --junitxml="${RAPIDS_TESTS_DIR}/junit-cuml-sparse-pca.xml"
 
-rapids-logger "pytest cuml-dask"
-./ci/run_cuml_dask_pytests.sh \
-  --junitxml="${RAPIDS_TESTS_DIR}/junit-cuml-dask.xml"
+# Temporarily disabled for CUDA 12.x wheels. 
+# Reference issue: https://github.com/rapidsai/cuml/issues/6050
+if [[ "${RAPIDS_PY_CUDA_SUFFIX}" == "cu11" ]]; then
+  rapids-logger "pytest cuml-dask"
+  ./ci/run_cuml_dask_pytests.sh \
+    --junitxml="${RAPIDS_TESTS_DIR}/junit-cuml-dask.xml"
+fi
 
 rapids-logger "Test script exiting with value: $EXITCODE"
 exit ${EXITCODE}
diff --git a/conda/environments/all_cuda-118_arch-x86_64.yaml b/conda/environments/all_cuda-118_arch-x86_64.yaml
index 73cfd8f1e0..363ce4f13e 100644
--- a/conda/environments/all_cuda-118_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-118_arch-x86_64.yaml
@@ -45,13 +45,14 @@ dependencies:
 - ninja
 - nltk
 - numba>=0.57
+- numpy>=1.23,<3.0a0
 - numpydoc
 - nvcc_linux-64=11.8
 - packaging
 - pip
 - pydata-sphinx-theme!=0.14.2
 - pylibraft==24.10.*,>=0.0.0a0
-- pynndescent==0.5.8
+- pynndescent
 - pytest-benchmark
 - pytest-cases
 - pytest-cov
diff --git a/conda/environments/all_cuda-125_arch-x86_64.yaml b/conda/environments/all_cuda-125_arch-x86_64.yaml
index 43bf7117b3..b70186deab 100644
--- a/conda/environments/all_cuda-125_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-125_arch-x86_64.yaml
@@ -42,12 +42,13 @@ dependencies:
 - ninja
 - nltk
 - numba>=0.57
+- numpy>=1.23,<3.0a0
 - numpydoc
 - packaging
 - pip
 - pydata-sphinx-theme!=0.14.2
 - pylibraft==24.10.*,>=0.0.0a0
-- pynndescent==0.5.8
+- pynndescent
 - pytest-benchmark
 - pytest-cases
 - pytest-cov
diff --git a/conda/recipes/cuml-cpu/meta.yaml b/conda/recipes/cuml-cpu/meta.yaml
index 09686ff9dd..bf59fed151 100644
--- a/conda/recipes/cuml-cpu/meta.yaml
+++ b/conda/recipes/cuml-cpu/meta.yaml
@@ -31,7 +31,7 @@ requirements:
     - rapids-build-backend>=0.3.0,<0.4.0.dev0
   run:
     - python x.x
-    - numpy>=1.23,<2.0a0
+    - numpy>=1.23,<3.0a0
     - pandas
     - scikit-learn=1.2
     - hdbscan>=0.8.38,<0.8.39
diff --git a/conda/recipes/cuml/meta.yaml b/conda/recipes/cuml/meta.yaml
index bca0b0378c..74ba26ea14 100644
--- a/conda/recipes/cuml/meta.yaml
+++ b/conda/recipes/cuml/meta.yaml
@@ -85,6 +85,7 @@ requirements:
     - joblib >=0.11
     - libcuml ={{ version }}
     - libcumlprims ={{ minor_version }}
+    - numpy >=1.23,<3.0a0
     - pylibraft ={{ minor_version }}
     - python x.x
     - raft-dask ={{ minor_version }}
diff --git a/dependencies.yaml b/dependencies.yaml
index 1c8afd0a81..e3a045efea 100644
--- a/dependencies.yaml
+++ b/dependencies.yaml
@@ -229,6 +229,7 @@ dependencies:
           - dask-cuda==24.10.*,>=0.0.0a0
           - joblib>=0.11
           - numba>=0.57
+          - numpy>=1.23,<3.0a0
             # TODO: Is scipy really a hard dependency, or should
             # we make it optional (i.e. an extra for pip
             # installation/run_constrained for conda)?
@@ -509,7 +510,7 @@ dependencies:
           - *scikit_learn
           - statsmodels
           - umap-learn==0.5.3
-          - pynndescent==0.5.8
+          - pynndescent
       - output_types: conda
         packages:
           - pip
diff --git a/python/cuml/cuml/neighbors/CMakeLists.txt b/python/cuml/cuml/neighbors/CMakeLists.txt
index 2938fac779..dbb23550aa 100644
--- a/python/cuml/cuml/neighbors/CMakeLists.txt
+++ b/python/cuml/cuml/neighbors/CMakeLists.txt
@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2022, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
@@ -34,7 +34,3 @@ rapids_cython_create_modules(
   MODULE_PREFIX neighbors_
   ASSOCIATED_TARGETS cuml
 )
-
-foreach(target IN LISTS targets_using_numpy)
-  target_include_directories(${target} PRIVATE "${Python_NumPy_INCLUDE_DIRS}")
-endforeach()
diff --git a/python/cuml/pyproject.toml b/python/cuml/pyproject.toml
index 357f427bff..4149c721ce 100644
--- a/python/cuml/pyproject.toml
+++ b/python/cuml/pyproject.toml
@@ -86,6 +86,7 @@ dependencies = [
     "dask-cudf==24.10.*,>=0.0.0a0",
     "joblib>=0.11",
     "numba>=0.57",
+    "numpy>=1.23,<3.0a0",
     "nvidia-cublas",
     "nvidia-cufft",
     "nvidia-curand",
@@ -115,7 +116,7 @@ test = [
     "hypothesis>=6.0,<7",
     "nltk",
     "numpydoc",
-    "pynndescent==0.5.8",
+    "pynndescent",
     "pytest-benchmark",
     "pytest-cases",
     "pytest-cov",