4 of 4 Feature Engineering Jobs in West London

personalisation and recommendation systems. Develop solutions covering: Recommendation Engines Ranking Algorithms User Segmentation Content Analysis Evaluate and improve model accuracy, performance, and scalability. Data Engineering & Feature Development Develop and maintain scalable data pipelines to support model training and feature engineering. Work with structured and unstructured datasets … tests and offline experiments. Measure model effectiveness and user outcomes. Use insights to drive ongoing optimisation and product improvements. Collaboration & Innovation Partner with Product, Engineering, Data Science, and Business teams to align machine learning initiatives with strategic goals. Stay up to date with emerging developments in machine learning, deep ...

seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. Youll collaborate with product, engineering, and business teams to transform data into actionable insights and high … models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams to integrate models ...

Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team … managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization ...

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. ...