1 of 1 Logistic Regression Jobs in East London

Gen AI within their organisation and are looking to utilise the newest technologies on the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification … Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for More ❯