diff --git a/.github/workflows/e2e-tests.yml b/.github/workflows/e2e-tests.yml
deleted file mode 100644
index ba1eaf78..00000000
--- a/.github/workflows/e2e-tests.yml
+++ /dev/null
@@ -1,32 +0,0 @@
-name: Run end-to-end tests
-
-on:
-  pull_request:
-  push:
-  workflow_dispatch:
-#  schedule:
-#    # Run every Sunday at 04:53 UTC
-#    - cron: 53 4 * * 0
-
-jobs:
-  tests:
-    runs-on: ubuntu-latest
-
-    steps:
-      - uses: actions/checkout@v2
-
-      - uses: actions/setup-python@v4
-        with:
-          python-version: 3.8
-
-      - name: Install package inside virtual environment
-        run: |
-          python3.8 -m venv venv
-          source venv/bin/activate
-          python -m pip install -U pip setuptools
-          python -m pip install .
-
-      - name: Run pipeline for SNPCC
-        run: |
-          source venv/bin/activate
-          ./tests/run-snpcc-e2e.sh
diff --git a/tests/run-snpcc-e2e.sh b/tests/run-snpcc-e2e.sh
deleted file mode 100755
index 6e82087d..00000000
--- a/tests/run-snpcc-e2e.sh
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/bin/bash
-
-set -e
-
-# Create a temporary directory for the test
-TEST_DIR=$(mktemp -d)
-echo "Created test directory: $TEST_DIR"
-
-# Unpack the SNPCC dataset
-FULL_DATASET=${TEST_DIR}/snpcc_full
-mkdir -p ${FULL_DATASET}
-tar -xzf data/SIMGEN_PUBLIC_DES.tar.gz -C ${FULL_DATASET}
-
-# Copy few objects
-INPUT_DATASET=${TEST_DIR}/snpcc
-mkdir -p ${INPUT_DATASET}
-cp ${FULL_DATASET}/SIMGEN_PUBLIC_DES/DES_SN00*.DAT ${INPUT_DATASET}/
-
-# Extract features from the SNPCC dataset
-FEATURES=${TEST_DIR}/features.dat
-fit_dataset -s SNPCC -dd ${INPUT_DATASET} -o ${FEATURES}
-
-# Run training loop
-METRICS=${TEST_DIR}/metrics.csv
-QUERIES=${TEST_DIR}/queries.csv
-run_loop -i ${FEATURES} -b 1 -n 5 -m ${METRICS} -q ${QUERIES} -s UncSampling -t 10 -mt bazin
-
-echo "### ${METRICS}:"
-cat ${METRICS}
diff --git a/tests/test_learn_loop.py b/tests/test_learn_loop.py
index 110a4fde..f5c6752f 100644
--- a/tests/test_learn_loop.py
+++ b/tests/test_learn_loop.py
@@ -24,5 +24,30 @@ def test_can_run_learn_loop(test_des_data_path):
             output_queried_file=os.path.join(dir_name,"just_other_name.csv"),
         )
 
+
+def test_can_run_learn_loop_uncsample(test_des_data_path):
+    """Test that learn_loop can load data and run.
+    This instance is distinct from the previous because it uses `UncSample` strategy
+    and runs for 5 loops instead of 1.
+    """
+    with tempfile.TemporaryDirectory() as dir_name:
+        # Create the feature files to use for the learning loop.
+        output_file = os.path.join(dir_name, "output_file.dat")
+        fit_snpcc(
+            path_to_data_dir=test_des_data_path,
+            features_file=output_file
+        )
+
+        learn_loop(
+            nloops=5,
+            features_method="bazin",
+            strategy="UncSampling",
+            path_to_features=output_file,
+            output_metrics_file=os.path.join(dir_name,"just_a_name.csv"),
+            output_queried_file=os.path.join(dir_name,"just_other_name.csv"),
+            training=10,
+        )
+
+
 if __name__ == '__main__':
     pytest.main()