Data Manager for Machine Learning Datasets

3 weeks ago


Reading, Reading, United Kingdom ECMWF Full time
Job Overview

ECMWF is seeking a highly skilled Data Manager to play a leading role in the management of training datasets for machine learning models. The successful candidate will be responsible for managing machine learning datasets for ECMWF activities, including operational configurations, Destination Earth applications, and ECMWF's Member and Cooperating State undertakings.

This role is in the Data Archives and Dissemination Services Team of the Production Services Section. The team is responsible for archiving operational and research data into the MARS archive and Fields DataBase (FDB) and generating and disseminating ECMWF's products.

The successful candidate will collaborate with research and technical teams at ECMWF on ML developments, including gathering future requirements, producing projections of usage, and performing resource capacity planning.

About ECMWF

ECMWF is a world-leader in weather and environmental forecasting, serving its members and the wider community with global weather predictions and critical data for understanding and solving the climate crisis.

The organisation functions as a 24/7 research and operational centre with a focus on medium and long-range predictions, holding one of the largest meteorological data archives in the world.

ECMWF has developed a strong partnership with the European Union and has been entrusted with the implementation and operation of the Climate Change and Atmosphere Monitoring Services of the EU Copernicus Programme.

About Destination Earth

ECMWF is one of the three entities entrusted to implement the DestinE initiative of the European Commission, alongside ESA and EUMETSAT as partners.

DestinE aims to deploy several highly accurate thematic digital replicas of the Earth, called Digital Twins, to monitor and predict environmental change and human impact, supporting sustainable development and European policies for the Green Deal.

Key Responsibilities

The successful candidate will be responsible for:

  • Managing and supporting data handling requirements of ML applications.
  • Creating, storing, and serving datasets for machine learning applications in collaboration with ECMWF ML experts and Member and Cooperating States experts.
  • Collaborating with research and technical teams on ML developments, including gathering requirements and performing resource capacity planning.
  • Acting as Data Governance facilitator for matters related to machine learning.
  • Acting as Data Curator for ML datasets, maintaining catalogues and ensuring data accuracy and completeness.
Requirements and Qualifications

The successful candidate will have:

  • An advanced university degree (EQF Level 7 or above) or equivalent professional experience.
  • Experience curating large datasets (terabytes to petabytes).
  • Programming skills in Python and/or scripting languages in a UNIX/Linux environment.
  • Experience handling scientific data formats in High Performance Computing environments.
  • Experience of working collaboratively on software development projects.


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