Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development.
Build and maintain scalable data pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud‑native tooling.
Deploy, monitor, and maintain ML models in production environments, including cloud‑based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance.
Lead A/B testing and offline experimentation to evaluate model performance and guide ongoing improvement.
Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals.
Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems.
Machine Learning Engineer • Twickenham, England, GB
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