1 of 1 Remote/Hybrid Demand Forecasting Jobs in Northampton

deploying automated production pipelines. What You'll Be Doing End-to-End Machine Learning: Designing, developing and deploying predictive and prescriptive models (e.g. demand forecasting, dynamic pricing, recommendation engines, and customer churn models). Applied AI & LLM Workflows: Developing modern AI capabilities, such as semantic search, retrieval-augmented … Python (pandas, NumPy, scikit‐learn) and advanced SQL. Solid understanding of core ML algorithms (e.g. XGBoost, LightGBM, linear/logistic regression, clustering, time‐series forecasting). Practical familiarity with software engineering best practice, including Git, code reviews and reproducible workflows. Awareness of modern applied AI concepts (embeddings, vector search ...