Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
We want to provide thurrock with more and more clickbait-free news. Help us grow and sign up to our FREE weekly newsletter.
...or become a Supporter.
Thurrock.
Your
Borough.
Your News.
Local news is essential for our community — but it needs your support.
By becoming a monthly supporter, you’ll help us deliver reliable local stories and events.
Your support makes a difference.
...or become a Supporter.
Thurrock.
Your
Borough.
Your News.
Local news is essential for our community — but it needs your support.
Your donation makes a real difference.