diff --git a/interactive_ai/workflows/geti_domain/common/jobs_common/k8s_helpers/trainer_pod_definition.py b/interactive_ai/workflows/geti_domain/common/jobs_common/k8s_helpers/trainer_pod_definition.py
index 24f1b4af5..7bceb33c9 100644
--- a/interactive_ai/workflows/geti_domain/common/jobs_common/k8s_helpers/trainer_pod_definition.py
+++ b/interactive_ai/workflows/geti_domain/common/jobs_common/k8s_helpers/trainer_pod_definition.py
@@ -229,6 +229,7 @@ def create_flyte_container_task(  # noqa: PLR0913
                     V1EnvVar(name="TASK_ID", value=container_name),
                     V1EnvVar(name="SESSION_ORGANIZATION_ID", value=str(session.organization_id)),
                     V1EnvVar(name="SESSION_WORKSPACE_ID", value=str(session.workspace_id)),
+                    V1EnvVar(name="WEIGHTS_URL", value="https://storage.geti.intel.com/weights"),
                     V1EnvVar(
                         name="KAFKA_TOPIC_PREFIX",
                         value_from=V1EnvVarSource(
diff --git a/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/minio_util.py b/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/minio_util.py
index eee8db7e0..4d82d8f63 100644
--- a/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/minio_util.py
+++ b/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/minio_util.py
@@ -13,7 +13,31 @@
 logger = logging.getLogger("mlflow_job")
 
 
-def download_file_from_s3(bucket_name, object_name, file_path, endpoint):  # noqa: ANN001, ANN201, D103
+def download_file_from_url(client: Minio, bucket_name: str, object_name: str, file_path: str) -> None:
+    """
+    Download file from weights url and save it in target S3 bucket
+    """
+    try:
+        # Try to download the file from the Internet
+        url = f"{os.environ.get('WEIGHTS_URL')}/{object_name}"
+        resp = requests.get(url, timeout=600)
+        if resp.status_code == 200:
+            with open(file_path, "wb") as f:
+                for chunk in resp.iter_content(chunk_size=512):
+                    if chunk:
+                        f.write(chunk)
+            logger.info(f"File '{object_name}' downloaded successfully from {url} to '{file_path}'")
+            # Upload file to the S3 bucket, it will overwrite existing one, if it was put in the meantime
+            client.fput_object(bucket_name, object_name, file_path)
+            logger.info(f"File '{object_name}' uploaded successfully to S3")
+        else:
+            raise RuntimeError(f"Failed to download '{object_name}' from {url}. Status code: {resp.status_code}")
+    except Exception:
+        logger.error(f"Failed to download '{object_name}' from the Internet.")
+        raise
+
+
+def download_file(bucket_name, object_name, file_path, endpoint):  # noqa: ANN001, ANN201, D103
     # Initialize the Minio client
     s3_credentials_provider = os.environ.get("S3_CREDENTIALS_PROVIDER")
     if s3_credentials_provider == "local":
@@ -51,21 +75,24 @@ def download_file_from_s3(bucket_name, object_name, file_path, endpoint):  # noq
         # Download the file from the S3 bucket
         client.fget_object(bucket_name, object_name, file_path)
         print(f"File '{object_name}' downloaded successfully to '{file_path}'")
-    except S3Error:
-        logger.warning(f"{traceback.print_exc()}")
-        logger.warning("Trying to get object using presigned URL")
-        url = presigned_urls_client.presigned_get_object(bucket_name, object_name)
-        try:
-            resp = requests.get(url, timeout=600)
-            if resp.status_code == 200:
-                with open(file_path, "wb") as f:
-                    for chunk in resp.iter_content(chunk_size=512):
-                        if chunk:
-                            f.write(chunk)
-                logger.info(f"File '{object_name}' downloaded successfully to '{file_path}' using presigned URL")
-        except Exception:
-            print(f"{traceback.print_exc()}")
-            raise
+    except S3Error as e:
+        if e.code == "NoSuchKey":
+            download_file_from_url(client, bucket_name, object_name, file_path)
+        else:
+            logger.warning(f"{traceback.print_exc()}")
+            logger.warning("Trying to get object using presigned URL")
+            url = presigned_urls_client.presigned_get_object(bucket_name, object_name)
+            try:
+                resp = requests.get(url, timeout=600)
+                if resp.status_code == 200:
+                    with open(file_path, "wb") as f:
+                        for chunk in resp.iter_content(chunk_size=512):
+                            if chunk:
+                                f.write(chunk)
+                    logger.info(f"File '{object_name}' downloaded successfully to '{file_path}' using presigned URL")
+            except Exception:
+                print(f"{traceback.print_exc()}")
+                raise
 
 
 # Example usage
@@ -75,4 +102,4 @@ def download_file_from_s3(bucket_name, object_name, file_path, endpoint):  # noq
     file_path = "./temp_downloaded.obj"
     endpoint = os.environ.get("S3_HOST", "impt-seaweed-fs:8333")
 
-    download_file_from_s3(bucket_name, object_name, file_path, endpoint)
+    download_file(bucket_name, object_name, file_path, endpoint)
diff --git a/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/run.py b/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/run.py
index 3dfc5912c..cbc1b3d7e 100644
--- a/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/run.py
+++ b/interactive_ai/workflows/otx_domain/trainer/otx_v2/scripts/run.py
@@ -12,7 +12,7 @@
 from typing import TYPE_CHECKING
 
 import mlflow
-from minio_util import download_file_from_s3
+from minio_util import download_file
 from mlflow_io import AsyncCaller, download_config_file, download_shard_files, log_error, log_full
 from optimize import optimize
 from train import train
@@ -34,7 +34,7 @@ def download_pretrained_weights(template_id: str) -> None:
     host_name = os.environ.get("S3_HOST", "impt-seaweed-fs:8333")
     bucket_name = os.environ.get("BUCKET_NAME_PRETRAINEDWEIGHTS", "pretrainedweights")
     metadata_path = os.path.join(str(work_dir), "metadata.json")
-    download_file_from_s3(bucket_name, "pretrained_models.json", metadata_path, host_name)
+    download_file(bucket_name, "pretrained_models.json", metadata_path, host_name)
 
     if not os.path.exists(metadata_path):
         raise RuntimeError(f"Metadata file {metadata_path} does not exist")
@@ -62,7 +62,7 @@ def download_pretrained_weights(template_id: str) -> None:
     host_name = os.environ.get("S3_HOST", "impt-seaweed-fs:8333")
     for obj_name in obj_names:
         file_path = os.path.join(model_cache_dir, obj_name)
-        download_file_from_s3(bucket_name, obj_name, file_path, host_name)
+        download_file(bucket_name, obj_name, file_path, host_name)
         if file_path.endswith(".zip"):
             with zipfile.ZipFile(file_path) as zip_ref:
                 zip_ref.extractall(os.path.dirname(file_path))
diff --git a/platform/services/weights_uploader/.dockerignore b/platform/services/weights_uploader/.dockerignore
new file mode 100644
index 000000000..26de2dace
--- /dev/null
+++ b/platform/services/weights_uploader/.dockerignore
@@ -0,0 +1,4 @@
+*
+!app
+!uv.lock
+!pyproject.toml
diff --git a/platform/services/weights_uploader/Dockerfile b/platform/services/weights_uploader/Dockerfile
new file mode 100644
index 000000000..4251ed1ce
--- /dev/null
+++ b/platform/services/weights_uploader/Dockerfile
@@ -0,0 +1,47 @@
+FROM python:3.10-slim-bookworm AS base
+
+FROM base AS build
+
+ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
+
+# Disable Python downloads, because we want to use the system interpreter
+# across both images.
+ENV UV_PYTHON_DOWNLOADS=0
+
+# Copy the service dependencies
+WORKDIR /builder
+COPY --link --from=libs . ../libs
+
+WORKDIR /builder/weights_uploader/app
+
+COPY --link --from=ghcr.io/astral-sh/uv:0.6.12 /uv /bin/uv
+
+COPY --link app .
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv venv --relocatable && \
+    uv sync --frozen --no-dev --no-editable
+
+FROM base AS runtime
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+    curl && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN useradd -l -u 10001 non-root && \
+	pip3 uninstall -y setuptools pip wheel && \
+    rm -rf /root/.cache/pip 
+
+USER non-root
+
+# Copy the application from the builder
+COPY --link --from=build --chown=10001 /builder/weights_uploader/app /app
+
+# Place executables in the environment at the front of the path
+ENV PATH="/app/.venv/bin:$PATH"
+
+WORKDIR /app
diff --git a/platform/services/weights_uploader/Makefile b/platform/services/weights_uploader/Makefile
new file mode 100644
index 000000000..89a36077f
--- /dev/null
+++ b/platform/services/weights_uploader/Makefile
@@ -0,0 +1,6 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+include ../../../Makefile.shared-python
+
+DOCKER_BUILD_CONTEXT := --build-context libs=../../../libs
diff --git a/platform/services/weights_uploader/app/__init__.py b/platform/services/weights_uploader/app/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/platform/services/weights_uploader/app/pretrained_models/pretrained_models.py b/platform/services/weights_uploader/app/pretrained_models/pretrained_models.py
new file mode 100644
index 000000000..048df2abe
--- /dev/null
+++ b/platform/services/weights_uploader/app/pretrained_models/pretrained_models.py
@@ -0,0 +1,119 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+import hashlib
+import logging
+import os
+import shutil
+import urllib.error
+import urllib.request
+import zipfile
+from collections.abc import Callable
+
+logging.basicConfig(level=logging.INFO)
+
+RETRIES = 5
+
+logger = logging.getLogger(__name__)
+
+
+def sha256sum(filepath: str):  # noqa: ANN201, D103
+    sha256 = hashlib.sha256()
+    with open(filepath, "rb") as f:
+        while True:
+            data = f.read(65536)
+            if not data:
+                break
+            sha256.update(data)
+    return sha256.hexdigest()
+
+
+def download_file(url: str, target_path: str, auto_unzip=True):  # noqa: ANN001, ANN201, D103
+    logger.info(f"Downloading file: {url}")
+    url_original_filename = os.path.basename(url)
+    if "?" in url_original_filename:
+        url_original_filename = url_original_filename.split("?")[0]
+
+    target_dir_path = os.path.dirname(target_path)
+    download_temp_target_path = os.path.join(target_dir_path, url_original_filename)
+
+    with (
+        urllib.request.urlopen(url) as response,  # noqa: S310
+        open(download_temp_target_path, "wb") as out_file,
+    ):
+        shutil.copyfileobj(response, out_file)
+
+    # do not use 'zipfile.is_zipfile'!
+    # some '.pth' files are actually zip files and they should not be unzipped here
+    if auto_unzip and download_temp_target_path.endswith(".zip"):
+        with zipfile.ZipFile(download_temp_target_path) as zip_ref:
+            files_in_zip = zip_ref.namelist()
+            number_of_files_in_zip = len(files_in_zip)
+            if number_of_files_in_zip != 1:
+                raise RuntimeError(
+                    f"Unexpected number of files: {number_of_files_in_zip}, expected: 1 in: {download_temp_target_path}"
+                )
+            zip_ref.extractall(target_dir_path)
+        os.remove(download_temp_target_path)
+        shutil.move(os.path.join(target_dir_path, files_in_zip[0]), target_path)
+    elif os.path.dirname(download_temp_target_path) != os.path.dirname(target_path) or (
+        os.path.basename(download_temp_target_path) != os.path.basename(target_path)
+    ):
+        shutil.move(download_temp_target_path, target_path)
+
+
+class MaxTriesExhausted(Exception):
+    pass
+
+
+# no retry lib has been used here on purpose - to avoid installing additional libs
+def retry_call(call: Callable, retries: int = RETRIES, **kwargs):  # noqa: ANN201, D103
+    for i in range(retries):
+        logger.info(f"Try {i + 1}/{retries}")
+        try:
+            call(**kwargs)
+            break
+        except Exception:
+            logger.exception(f"Failed try {i + 1}/{retries}")
+    else:
+        raise MaxTriesExhausted
+
+
+def download_pretrained_model(model_spec: dict, target_dir: str, weights_url: str | None = None):  # noqa: ANN201, D103
+    model_external_url = model_spec["url"]
+    target_path = model_spec["target"]
+    auto_unzip = model_spec.get("unzip", True)
+    sha_sum = model_spec.get("sha_sum")
+
+    target_download_path = os.path.join(target_dir, os.path.basename(target_path))
+    if weights_url is not None:
+        model_external_url = os.path.join(weights_url, os.path.basename(model_external_url))
+
+    if os.path.exists(target_download_path):
+        if sha_sum is None:
+            logger.warning(f"Model already existed: {target_download_path} but sha_sum is not specified")
+            logger.warning(f"consider to add sha_sum to the model spec: {sha256sum(target_download_path)}")
+        elif sha256sum(target_download_path) == sha_sum:
+            logger.info(f"Model already downloaded: {target_download_path}")
+            return
+        else:
+            logger.warning(f"Model already downloaded but SHA mismatch: {target_download_path}")
+            logger.warning("Redownloading...")
+            os.remove(target_download_path)
+
+    try:
+        retry_call(
+            download_file,
+            url=model_external_url,
+            target_path=target_download_path,
+            auto_unzip=auto_unzip,
+        )
+    except MaxTriesExhausted:
+        raise
+
+    # verify SHA
+    if sha_sum is not None:
+        received_sha = sha256sum(target_download_path)
+        if sha_sum != received_sha:
+            raise RuntimeError(f"Wrong SHA sum for: {target_download_path}. Expected: {sha_sum}, got: {received_sha}")
+        logger.info("SHA match")
diff --git a/platform/services/weights_uploader/app/pretrained_models/pretrained_models_v2.json b/platform/services/weights_uploader/app/pretrained_models/pretrained_models_v2.json
new file mode 100644
index 000000000..9f3cefa67
--- /dev/null
+++ b/platform/services/weights_uploader/app/pretrained_models/pretrained_models_v2.json
@@ -0,0 +1,372 @@
+[
+  {
+    "url": "https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/sam_vit_b_zsl_encoder/sam_vit_b_zsl_encoder.xml",
+    "target": "/home/non-root/sam_vit_b_zsl_encoder.xml",
+    "sha_sum": "976e6926e9d8d9220f6b54bc9ae9fad1861177143feece772375e79c4b3b0e41"
+  },
+  {
+    "url": "https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/sam_vit_b_zsl_encoder/sam_vit_b_zsl_encoder.bin",
+    "target": "/home/non-root/sam_vit_b_zsl_encoder.bin",
+    "sha_sum": "2b1304d5e6721458b39c33f10cb9d67e951236bafce5df148e0c71b60234aba0"
+  },
+  {
+    "url": "https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/sam_vit_b_zsl_decoder/sam_vit_b_zsl_decoder.xml",
+    "target": "/home/non-root/sam_vit_b_zsl_decoder.xml",
+    "sha_sum": "b9acd3452d7d48fd2323b1b47cc5223657cdebe8ab264bca808b296b7682f660"
+  },
+  {
+    "url": "https://storage.openvinotoolkit.org/repositories/model_api/test/otx_models/sam_vit_b_zsl_decoder/sam_vit_b_zsl_decoder.bin",
+    "target": "/home/non-root/sam_vit_b_zsl_decoder.bin",
+    "sha_sum": "78d656dddb93c9ae714b86a71a3fd3eb9cd52db1f6ef55f300c6c9cd8833a9a0"
+  },
+  {
+    "url": "https://dl.fbaipublicfiles.com/dinov2/dinov2_vits14/dinov2_vits14_ade20k_linear_head.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/dinov2_vits14_ade20k_linear_head.pth",
+    "sha_sum": "67e10225e0bf1e2c6e8bc9e07020211ab58cbb4aa14efbaa32c52914931c4ade",
+    "template_ids": ["Custom_Semantic_Segmentation_DINOV2_S"]
+  },
+  {
+    "url": "https://dl.fbaipublicfiles.com/dinov2/dinov2_vits14/dinov2_vits14_pretrain.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/dinov2_vits14_pretrain.pth",
+    "sha_sum": "b938bf1bc15cd2ec0feacfe3a1bb553fe8ea9ca46a7e1d8d00217f29aef60cd9",
+    "template_ids": ["Custom_Semantic_Segmentation_DINOV2_S"]
+  },
+  {
+    "url": "https://download.pytorch.org/models/efficientnet_b3_rwightman-b3899882.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/efficientnet_b3_rwightman-b3899882.pth",
+    "sha_sum": "b3899882250c22946d0229d266049fcd133c169233530b36b9ffa7983988362f",
+    "template_ids": ["Custom_Image_Classification_EfficientNet-B3"]
+  },
+  {
+    "url": "https://download.pytorch.org/models/efficientnet_v2_l-59c71312.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/efficientnet_v2_l-59c71312.pth",
+    "sha_sum": "59c713125fb834e97ba84e540464ea0b0a07de5e7d74c53ac6e5b8fdadab5f89",
+    "template_ids": ["Custom_Image_Classification_EfficientNet-V2-L"]
+  },
+  {
+    "url": "https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco_20210908_165006-90a4008c.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco_20210908_165006-90a4008c.pth",
+    "sha_sum": "90a4008ce84011fc0d75a08db1b65b01ee1f145e9a1dffe8acc15ea8894b348d",
+    "template_ids": ["Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16"]
+  },
+  {
+    "url": "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth",
+    "sha_sum": "bf2d0c1efbc936eeee2bc95a48e80ebc86b891f61b0106485937fc29f9315fc0"
+  },
+  {
+    "url": "https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segnext/mscan_b_20230227-3ab7d230.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/mscan_b_20230227-3ab7d230.pth",
+    "sha_sum": "3ab7d2301876e41fdd3950e59cdce44e18ebcc36a4cf7a4f5f0817d14f381c9b",
+    "template_ids": ["Custom_Semantic_Segmentation_SegNext_B"]
+  },
+  {
+    "url": "https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segnext/mscan_s_20230227-f33ccdf2.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/mscan_s_20230227-f33ccdf2.pth",
+    "sha_sum": "f33ccdf2fc0afb78a39a44645eb8436891b95b1d3d9b48c1d9ace85936740a18",
+    "template_ids": ["Custom_Semantic_Segmentation_SegNext_s"]
+  },
+  {
+    "url": "https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segnext/mscan_t_20230227-119e8c9f.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/mscan_t_20230227-119e8c9f.pth",
+    "sha_sum": "119e8c9f4479cb5ed7906c26adc3c9fe722d5c5fff63651549669bff941d11c4",
+    "template_ids": ["Custom_Semantic_Segmentation_SegNext_t"]
+  },
+  {
+    "url": "https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_ssld_pretrained.tar",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/ResNet50_vd_ssld_pretrained.tar",
+    "sha_sum": "94e80c9dd1aedb98a4c627e9d3574c32712d2923a54d8a51797b1d0148164645"
+  },
+  {
+    "url": "https://storage.openvinotoolkit.org/repositories/openvino_training_extensions/models/object_detection/v2/resnext101_atss_070623.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/resnext101_atss_070623.pth",
+    "sha_sum": "1515fb8de866c905c11172e160250044b8ecdb306334a4ba271f28f2c6ec3ccf",
+    "template_ids": ["Object_Detection_ResNeXt101_ATSS"]
+  },
+  {
+    "url": "https://github.com/lyuwenyu/storage/releases/download/v0.1/rtdetr_r101vd_2x_coco_objects365_from_paddle.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/rtdetr_r101vd_2x_coco_objects365_from_paddle.pth",
+    "sha_sum": "db3d85e3e9787daa63586284cba77bd98d0836aaf76e07b4b16aeb87d370ef00",
+    "template_ids": ["Object_Detection_RTDetr_101"]
+  },
+  {
+    "url": "https://github.com/lyuwenyu/storage/releases/download/v0.1/ResNet18_vd_pretrained_from_paddle.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/ResNet18_vd_pretrained_from_paddle.pth",
+    "sha_sum": "911a745b62e173c8f4b9af513c2ea295428cf23f1bbfe9048381500f140fd720",
+    "template_ids": ["Object_Detection_RTDetr_18"]
+  },
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+    "target": "/home/non-root/.cache/torch/hub/checkpoints/swin_tiny_patch4_window7_224.pth",
+    "sha_sum": "9f71c168d837d1b99dd1dc29e14990a7a9e8bdc5f673d46b04fe36fe15590ad3",
+    "template_ids": ["Custom_Counting_Instance_Segmentation_MaskRCNN_SwinT_FP16"]
+  },
+  {
+    "url": "https://download.openmmlab.com/pretrain/third_party/resnext101_64x4d-ee2c6f71.pth",
+    "target": "/home/non-root/.cache/torch/hub/checkpoints/resnext101_64x4d-ee2c6f71.pth",
+    "sha_sum": "ee2c6f713dbd26a7bbc4f1bdd599dd19b1fc58b6e7d756c3eb080761cf820e1f",
+    "template_ids": ["Object_Detection_ResNeXt101_ATSS"]
+  }
+]
\ No newline at end of file
diff --git a/platform/services/weights_uploader/app/weights_uploader.py b/platform/services/weights_uploader/app/weights_uploader.py
new file mode 100644
index 000000000..f44c00bb3
--- /dev/null
+++ b/platform/services/weights_uploader/app/weights_uploader.py
@@ -0,0 +1,80 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+import json
+import logging
+import os
+
+import boto3
+from botocore.exceptions import ClientError
+
+from pretrained_models.pretrained_models import MaxTriesExhausted, download_pretrained_model, retry_call
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+def upload_file(client: boto3.client, path: str, filename: str) -> None:
+    """Uploads file from local_path to s3 if it does not already exist"""
+    try:
+        file_path = os.path.join(path, filename)
+        bucket_name = "pretrainedweights"
+
+        try:
+            client.head_object(Bucket=bucket_name, Key=filename)
+            logger.info(f"File {filename} already exists on S3. Skipping upload.")
+            return
+        except ClientError as err:
+            if err.response["Error"]["Code"] != "404":
+                logger.error(f"Error checking existence of {filename} on S3: {err}")
+                raise err
+
+        # Upload the file if it does not exist
+        logger.info(f"Uploading file {filename} to S3")
+        client.upload_file(file_path, bucket_name, filename)
+        logger.info("File uploaded")
+    except ClientError as err:
+        logger.error(err)
+        raise err
+
+
+def main() -> None:
+    """
+    Main function of uploader for pretrained OTX weights
+    """
+    s3_host = "{}{}".format("http://", os.environ["S3_HOST"])
+    s3_access_key = os.environ["S3_ACCESS_KEY"]
+    s3_secret_key = os.environ["S3_SECRET_KEY"]
+    weights_dir = os.environ["WEIGHTS_DIR"]
+    weights_url = os.environ.get("WEIGHTS_URL", None)
+    config_dir = os.environ.get("CONFIG_DIR", "pretrained_models")
+    model_list = "pretrained_models_v2.json"
+    models_list_path_v2 = os.path.join(config_dir, model_list)
+
+    client = boto3.client(
+        "s3", endpoint_url=s3_host, aws_access_key_id=s3_access_key, aws_secret_access_key=s3_secret_key
+    )
+
+    upload_file(client, config_dir, model_list)
+
+    if os.environ.get("DISABLE_WEIGHT_UPLOADING", None) is not None:
+        logger.info("Downloading pretrained weights is disabled. Exiting.")
+        return
+
+    os.makedirs(weights_dir, exist_ok=True)
+    with open(models_list_path_v2) as file:
+        models_spec = json.load(file)
+
+    for model in models_spec:
+        initial_models = set(os.listdir(weights_dir))
+        download_pretrained_model(model, weights_dir, weights_url)
+        updated_models = set(os.listdir(weights_dir))
+        for filename in updated_models - initial_models:
+            try:
+                retry_call(upload_file, client=client, path=weights_dir, filename=filename)
+            except MaxTriesExhausted:
+                raise
+
+
+if __name__ == "__main__":
+    main()
diff --git a/platform/services/weights_uploader/chart/Chart.yaml b/platform/services/weights_uploader/chart/Chart.yaml
new file mode 100644
index 000000000..2cdc092af
--- /dev/null
+++ b/platform/services/weights_uploader/chart/Chart.yaml
@@ -0,0 +1,6 @@
+---
+apiVersion: v2
+name: weights_uploader
+description: A Helm chart for weights uploader service
+version: 0.0.1
+appVersion: v0.0.1
diff --git a/platform/services/weights_uploader/chart/templates/weight_uploader_job.yaml b/platform/services/weights_uploader/chart/templates/weight_uploader_job.yaml
new file mode 100644
index 000000000..01db0466e
--- /dev/null
+++ b/platform/services/weights_uploader/chart/templates/weight_uploader_job.yaml
@@ -0,0 +1,87 @@
+---
+apiVersion: batch/v1
+kind: Job
+metadata:
+  name: weight-uploader
+  namespace: {{ .Release.Namespace }}
+  labels:
+    "app": "weight-uploader"
+spec:
+  backoffLimit: 10
+  template:
+    metadata:
+      labels:
+        "app": "weight-uploader"
+{{- if not .Values.global.istio_ambient_mesh }}
+      annotations:
+        proxy.istio.io/config: '{ "holdApplicationUntilProxyStarts": true }'
+{{- end }}
+    spec:
+      serviceAccountName: weight-uploader
+      restartPolicy: Never
+      initContainers:
+        - name: wait-for-pod
+          image: "{{ .Values.global.kubectl.registry }}/{{ if .Values.global.kubectl.repository }}{{ .Values.global.kubectl.repository }}/{{ end }}{{ .Values.global.kubectl.name }}"
+          command: [ "/bin/bash", "-c" ]
+          args:
+            - >-
+              kubectl wait pods
+              --selector=app=seaweed-fs
+              --timeout=1200s
+              --for=condition=Ready
+              --namespace {{ .Release.Namespace }}
+          securityContext:
+            {{- toYaml .Values.securityContext | nindent 12 }}
+      containers:
+      - name: weight-uploader
+        image: "{{ .Values.global.registry_address }}/{{ .Values.global.docker_namespace }}/weights_uploader:{{ .Values.global.tag | default .Chart.Version }}"
+        command: ["/bin/sh", "-c"]
+        args:
+          - >-
+            python weights_uploader.py;
+            retVal=$?;
+            {{- if not .Values.global.istio_ambient_mesh }}
+            until curl -XPOST 127.0.0.1:15020/quitquitquit;
+              do sleep 3;
+            done;
+            {{- end }}
+            exit $retVal
+        securityContext:
+          {{- toYaml .Values.securityContext | nindent 12 }}
+        resources:
+          requests:
+            cpu: 100m
+            memory: 100Mi
+          limits:
+            memory: 100Mi
+        env:
+{{- if .Values.global.proxy.enabled }}
+          - name: http_proxy
+            value: "{{ .Values.global.proxy.http_proxy }}"
+          - name: https_proxy
+            value: "{{ .Values.global.proxy.https_proxy }}"
+          - name: no_proxy
+            value: "{{ .Values.global.proxy.no_proxy }},127.0.0.1,localhost,.{{ .Release.Namespace }},.svc,.cluster.local"
+{{- end }}
+          - name: WEIGHTS_DIR
+            value: "/weights"
+          - name: WEIGHTS_URL
+            value: "{{ .Values.global.weights_url }}"
+          - name: S3_HOST
+            value: impt-seaweed-fs.{{ .Release.Namespace }}:8333
+          - name: S3_SECRET_KEY
+            valueFrom:
+              secretKeyRef:
+                name: "impt-seaweed-fs"
+                key: admin_secret_key
+          - name: S3_ACCESS_KEY
+            valueFrom:
+              secretKeyRef:
+                name: "impt-seaweed-fs"
+                key: admin_access_key
+        volumeMounts:
+          - name: weights-temp
+            mountPath: /weights
+      volumes:
+        - name: weights-temp
+          emptyDir: {}
diff --git a/platform/services/weights_uploader/chart/templates/weight_uploader_proxy.yaml b/platform/services/weights_uploader/chart/templates/weight_uploader_proxy.yaml
new file mode 100644
index 000000000..0fb8c1a4e
--- /dev/null
+++ b/platform/services/weights_uploader/chart/templates/weight_uploader_proxy.yaml
@@ -0,0 +1,32 @@
+{{- if .Values.global.proxy.enabled }}
+{{- $httpHost := (split ":" ((urlParse .Values.global.proxy.http_proxy).host))._0 }}
+{{- $httpsHost := (split ":" ((urlParse .Values.global.proxy.https_proxy).host))._0 }}
+{{- $httpPort := (default "80" ((split ":" ((urlParse .Values.global.proxy.http_proxy).host))._1)) }}
+{{- $httpsPort := (default "80" ((split ":" ((urlParse .Values.global.proxy.https_proxy).host))._1)) }}
+{{ if .Capabilities.APIVersions.Has "networking.istio.io/v1/ServiceEntry"}}
+apiVersion: networking.istio.io/v1
+{{ else }}
+apiVersion: networking.istio.io/v1beta1
+{{ end }}
+kind: ServiceEntry
+metadata:
+  name: weight-uploader-proxy
+  namespace: {{ .Release.Namespace }}
+spec:
+  hosts:
+  - {{ $httpHost }}
+  {{- if ne $httpHost $httpsHost }}
+  - {{ $httpsHost }}
+  {{- end }}
+  ports:
+  - number: {{ $httpPort }}
+    name: http-proxy
+    protocol: tcp
+  {{- if ne $httpPort $httpsPort }}
+  - number: {{ $httpsPort }}
+    name: https-proxy
+    protocol: tcp
+  {{- end }}
+  resolution: DNS
+  location: MESH_EXTERNAL
+{{- end }}
diff --git a/platform/services/weights_uploader/chart/templates/weight_uploader_rbac.yaml b/platform/services/weights_uploader/chart/templates/weight_uploader_rbac.yaml
new file mode 100644
index 000000000..b347bb44a
--- /dev/null
+++ b/platform/services/weights_uploader/chart/templates/weight_uploader_rbac.yaml
@@ -0,0 +1,45 @@
+---
+apiVersion: v1
+kind: ServiceAccount
+{{- if .Values.global.enable_local_image_pull_secret }}
+imagePullSecrets:
+  - name: regcred
+{{- end }}
+metadata:
+  name: weight-uploader
+  namespace: {{ .Release.Namespace }}
+  labels:
+    "app": "weight-uploader"
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: Role
+metadata:
+  name: weight-uploader
+  namespace: {{ .Release.Namespace }}
+  labels:
+    "app": "weight-uploader"
+rules:
+  - apiGroups:
+    - ""
+    resources:
+      - pods
+    verbs:
+      - get
+      - list
+      - watch
+---
+apiVersion: rbac.authorization.k8s.io/v1
+kind: RoleBinding
+metadata:
+  name: weight-uploader
+  namespace: {{ .Release.Namespace }}
+  labels:
+    "app": "weight-uploader"
+roleRef:
+  apiGroup: rbac.authorization.k8s.io
+  kind: Role
+  name: weight-uploader
+subjects:
+  - kind: ServiceAccount
+    name: weight-uploader
+    namespace: {{ .Release.Namespace }}
diff --git a/platform/services/weights_uploader/chart/templates/weight_uploader_serviceentry.yaml b/platform/services/weights_uploader/chart/templates/weight_uploader_serviceentry.yaml
new file mode 100644
index 000000000..74c655702
--- /dev/null
+++ b/platform/services/weights_uploader/chart/templates/weight_uploader_serviceentry.yaml
@@ -0,0 +1,18 @@
+{{ if .Capabilities.APIVersions.Has "networking.istio.io/v1/ServiceEntry"}}
+apiVersion: networking.istio.io/v1
+{{ else }}
+apiVersion: networking.istio.io/v1beta1
+{{ end }}
+kind: ServiceEntry
+metadata:
+  name: weight-uploader-ext
+  namespace: {{ .Release.Namespace }}
+spec:
+  hosts:
+  - {{ (urlParse .Values.global.weights_url).host }}
+  ports:
+  - number: 443
+    name: https
+    protocol: HTTPS
+  resolution: DNS
+  location: MESH_EXTERNAL
diff --git a/platform/services/weights_uploader/pyproject.toml b/platform/services/weights_uploader/pyproject.toml
new file mode 100644
index 000000000..8974af983
--- /dev/null
+++ b/platform/services/weights_uploader/pyproject.toml
@@ -0,0 +1,92 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+[project]
+name = "weights_uploader"
+version = "1.0.0"
+description = "Wights uploader service for Geti"
+requires-python = ">=3.10, <3.14"
+
+dependencies = [
+    "boto3==1.28.17"
+]
+
+[dependency-groups]
+dev = [
+    "mypy~=1.15",
+    "pytest~=8.3",
+    "pytest-cov==2.11.1",
+    "click==8.1.7",
+    "pre-commit~=4.1",
+    "pytest-html~=4.0.0",
+    "ruff~=0.11",
+    "pytest-mock~=3.10",
+    "types-mock~=5.0.0",
+    "types-python-dateutil==2.8.2",
+]
+
+[tool.ruff]
+target-version = "py310"
+line-length = 120
+
+exclude = [
+    ".venv*",
+    "app/alembic/*.py",
+]
+src = ["app"]
+
+[tool.ruff.lint]
+select = ["ARG", "E", "F", "I", "N", "UP", "YTT", "ASYNC", "S", "COM", "C4", "FA", "PIE", "PYI", "Q", "RSE", "RET", "SIM",
+    "TID", "TC", "PL", "RUF", "C90", "D103", "ANN001", "ANN201", "ANN205", "FAST"]
+
+ignore = ["N801", "N805","N806","N807", "N818", "COM812", "RET503", "SIM108", "SIM105", "PLR2004",
+    "RUF010", "TC001",  "RUF012"]
+
+fixable = ["ALL"]
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
+
+[tool.ruff.lint.per-file-ignores]
+"__init__.py" = ["E402"]
+
+# Covers any pytest
+"*test*.py" = ["E741", "E402", "E501",
+    "S",
+    "RET",
+    "PL",
+    "RUF",
+    "SIM",
+    "D103",
+    "ARG",
+    "PYI024",
+    "ANN"]
+
+# Covers BDD tests
+"*features*.py" = ["E741", "E402", "E501"]
+
+[tool.ruff.lint.isort]
+# First-party = self-contained packages defined within Geti
+known-first-party = [
+    "geti_logger_tools", "datumaro_helper", "jobs_common",
+    "k8s_custom_resources", "load_tests", "microservices", "nodes_resource",
+    "platform_models", "sc_sdk", "geti_telemetry_tools", "users_handler", "account_service_client", "migration", "geti_kafka_tools"
+]
+# Local folder = Geti folder that often appears as base in import statements, but that doesn't qualify as a package logically
+known-local-folder = [
+    "application", "common", "communication", "config", "job", "migration_job", "tests", "platform_cleaner", "weights_uploader"
+]
+# Third-party = self-contained packages defined and maintained outside Geti
+known-third-party = ["grpc", "kafka", "kubernetes", "kubernetes_asyncio", "minio", "otx", "starlette", "sqlalchemy"]
+split-on-trailing-comma = false
+
+[tool.ruff.lint.pylint]
+max-args=7
+
+[tool.mypy]
+python_version = "3.10"
+ignore_missing_imports = true
+exclude = "^.*/tests/.*\\.py|app/alembic/.*\\.py"
+
+show_error_codes = true
+
+[tool.mypy-torch]
+follow_imports = "skip"
+follow_imports_for_stubs = true
diff --git a/platform/services/weights_uploader/tests/unit/__init__.py b/platform/services/weights_uploader/tests/unit/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/platform/services/weights_uploader/tests/unit/test_weights_uploader.py b/platform/services/weights_uploader/tests/unit/test_weights_uploader.py
new file mode 100644
index 000000000..cd033130e
--- /dev/null
+++ b/platform/services/weights_uploader/tests/unit/test_weights_uploader.py
@@ -0,0 +1,82 @@
+# Copyright (C) 2022-2025 Intel Corporation
+# LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE
+
+import json
+from unittest.mock import MagicMock, patch
+
+import pytest
+from botocore.exceptions import ClientError
+
+from weights_uploader import main
+
+
+# Mock the environment variables
+@pytest.fixture(autouse=True)
+def mock_env_vars(monkeypatch):
+    monkeypatch.setenv("S3_HOST", "fake_host")
+    monkeypatch.setenv("S3_ACCESS_KEY", "fake_access_key")
+    monkeypatch.setenv("S3_SECRET_KEY", "fake_secret_key")
+    monkeypatch.setenv("WEIGHTS_DIR", "/weights")
+
+
+mock_file_content = '[{"model": "model1", "url": "http://example.com/model1", "target": "/path/to/target1"}, {"model": "model2", "url": "http://example.com/model2", "target": "/path/to/target2"}]'  # Mock JSON content
+
+
+def test_main_success():
+    with (
+        patch("boto3.client") as boto3_client_mock,
+        patch("os.listdir") as listdir_mock,
+        patch("os.path.join") as join_mock,
+        patch("os.makedirs") as makedirs_mock,
+        patch("weights_uploader.logger") as logger_mock,
+        patch("builtins.open", new_callable=MagicMock) as open_mock,
+        patch("json.load") as json_load_mock,
+        patch("weights_uploader.download_pretrained_model") as download_pretrained_model_mock,
+    ):
+        listdir_mock.return_value = ["weight1", "weight2"]
+        join_mock.side_effect = lambda x, y: f"{x}/{y}"
+        makedirs_mock.return_value = None
+        client_instance_mock = MagicMock()
+        client_instance_mock.head_object.side_effect = ClientError({"Error": {"Code": "404"}}, "head_object")
+
+        boto3_client_mock.return_value = client_instance_mock
+        open_mock.return_value.__enter__.return_value = MagicMock()
+        json_load_mock.return_value = json.loads(mock_file_content)
+        download_pretrained_model_mock.return_value = None  # Mock the download function
+
+        main()
+
+        assert boto3_client_mock.called
+        assert client_instance_mock.upload_file.call_count == 1
+        logger_mock.info.assert_called()
+        logger_mock.error.assert_not_called()
+        download_pretrained_model_mock.assert_called()
+
+
+def test_main_upload_error():
+    with (
+        patch("boto3.client") as boto3_client_mock,
+        patch("os.listdir") as listdir_mock,
+        patch("os.path.join") as join_mock,
+        patch("os.makedirs") as makedirs_mock,
+        patch("json.load") as json_load_mock,
+        patch("weights_uploader.logger") as logger_mock,
+        patch("builtins.open", new_callable=MagicMock) as open_mock,
+        patch("weights_uploader.download_pretrained_model") as download_pretrained_model_mock,
+    ):
+        listdir_mock.return_value = ["weight1", "weight2"]
+        join_mock.side_effect = lambda x, y: f"{x}/{y}"
+        makedirs_mock.return_value = None
+        client_instance_mock = MagicMock()
+        client_instance_mock.head_object.side_effect = ClientError({"Error": {"Code": "404"}}, "head_object")
+
+        boto3_client_mock.return_value = client_instance_mock
+        open_mock.return_value.__enter__.return_value = MagicMock()
+        json_load_mock.return_value = json.loads(mock_file_content)
+        download_pretrained_model_mock.return_value = None  # Mock the download function
+
+        client_instance_mock.upload_file.side_effect = ClientError({"Error": {}}, "upload_file")
+
+        with pytest.raises(ClientError):
+            main()
+        logger_mock.error.assert_called()
diff --git a/platform/services/weights_uploader/uv.lock b/platform/services/weights_uploader/uv.lock
new file mode 100644
index 000000000..6151f28a8
--- /dev/null
+++ b/platform/services/weights_uploader/uv.lock
@@ -0,0 +1,642 @@
+version = 1
+revision = 1
+requires-python = ">=3.10, <3.14"
+
+[[package]]
+name = "boto3"
+version = "1.28.17"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "botocore" },
+    { name = "jmespath" },
+    { name = "s3transfer" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/1b/f9/889e0c7d07bc5616d193d63b9600145d2d83f21a09fca40be078ef9323eb/boto3-1.28.17.tar.gz", hash = "sha256:90f7cfb5e1821af95b1fc084bc50e6c47fa3edc99f32de1a2591faa0c546bea7", size = 103328 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/46/a7/487512e3328f2566d72aed3b7059fd8dff18c95d9bcbbe16c5ecc13e6fc5/boto3-1.28.17-py3-none-any.whl", hash = "sha256:bca0526f819e0f19c0f1e6eba3e2d1d6b6a92a45129f98c0d716e5aab6d9444b", size = 135753 },
+]
+
+[[package]]
+name = "botocore"
+version = "1.31.85"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "jmespath" },
+    { name = "python-dateutil" },
+    { name = "urllib3" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/98/ab/5d42fe78dd88c65c9dea758c7384c8a040bb40ef34f6483dd424807e1641/botocore-1.31.85.tar.gz", hash = "sha256:ce58e688222df73ec5691f934be1a2122a52c9d11d3037b586b3fff16ed6d25f", size = 11468411 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3d/4c/8f97418ad082458a0d8e6d10434227d54edc6166e3197cee6ecf7b0eeec0/botocore-1.31.85-py3-none-any.whl", hash = "sha256:b8f35d65f2b45af50c36fc25cc1844d6bd61d38d2148b2ef133b8f10e198555d", size = 11338981 },
+]
+
+[[package]]
+name = "cfgv"
+version = "3.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/11/74/539e56497d9bd1d484fd863dd69cbbfa653cd2aa27abfe35653494d85e94/cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560", size = 7114 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c5/55/51844dd50c4fc7a33b653bfaba4c2456f06955289ca770a5dbd5fd267374/cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9", size = 7249 },
+]
+
+[[package]]
+name = "click"
+version = "8.1.7"
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