AI/ML Scientist Intern (United Kingdom)

Currently enrolled in a master’s program in Computer Science, Engineering, Data Science, or a related field Coursework or project experience in AI/ML, including exposure to machine learning and deep learning, time series forecasting, reinforcement learning, optimization, or conversational AI Familiarity with Python or similar programming languages and common toolkits and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy) Strong analytical and problem-solving skills Ability to design machine learning experiments and define model performance metrics Ability to work collaboratively in a team environment Experience with cloud-based AI/ML and data tools or platforms (preferred) Exposure to AI/ML governance, ethics, or responsible AI practices (preferred) Participation in research or industry projects related to Graph AI or Foundation Models (preferred) Strong written and spoken communication skills (preferred)

Assist in the development and testing of AI/ML models Develop robust, well-structured, and testable code Support the Foundation Model and Agents Task Forces Participate in maintaining documentation and inventory of AI/ML projects Collaborate with team members and stakeholders to understand business requirements Stay informed about emerging AI technologies and best practices Contribute to the measurement and reporting of project performance metrics