and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles Strong proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature More ❯
Wembley, London, United Kingdom Hybrid / WFH Options
Football Association Limited
optimise player development, grassroots participation, and tournament planning Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights Develop computer vision models (e.g. YOLO, TensorFlow, PyTorch) for match analysis, crowd monitoring, and event operations Design and maintain robust data pipelines for structured and unstructured data using Microsoft Fabric and Azure Synapse Build and deploy … Synapse, SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to translate business problems into analytical solutions Confident communicator capable of presenting insights to non-technical stakeholders Effective team player who works well in cross More ❯
