AI Engineering Intern

Design, implement, and deploy machine learning models and systems to solve complex problems in clinical trial workflows. Create robust data integration solutions connecting enterprise systems, cloud storage, SharePoint, and Snowflake to AI pipelines. Develop and optimize large language model solutions for information extraction, risk identification, summarization, and workflow automation. Research and implement algorithms for classification, regression, clustering, and anomaly detection while curating datasets for generative models. Experiment with supervised, unsupervised, and deep learning techniques to build scalable infrastructure for training and deploying models in production. Collaborate across teams to improve process efficiency and provide user assistance. Full-time schedule in the London office.