2 of 2 Permanent Feature Engineering Jobs in Oxford

Responsibilities Develop, train, and evaluate machine learning models to solve real-world business problems. Support the full ML lifecycle—from data exploration and feature engineering to deployment and monitoring. Work with large datasets using modern data tooling and cloud platforms. Implement scalable ML pipelines and contribute to automation … initiatives. Collaborate with cross-functional teams to translate client requirements into technical solutions. Stay updated with the latest advancements in ML, AI, and data engineering practices. About You A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related STEM field. Strong ...

Generative AI models for predictive analytics and marketing applications. Explore solutions using LLMs, embeddings, and RAG pipelines. Collaborate with data engineers on data quality, feature engineering, and pipeline optimization. Translate business needs into analytical solutions and communicate findings effectively. Requirements Bachelor's or Master's in Data Science ...