Principal Data Scientist

- Strong experience of delivering novel ML solutions to customers and internal stakeholders - Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices - Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment - Experience of appropriate version control and environment management (such as venvs or Docker) - Experience of writing technical project proposals - Experience of managing teams either line management or technically - Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision - Experience of training and developing AI models including Large Language Models - Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications - Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate actions - Desirable: Experience of deploying AI models in a scalable way for external users - Desirable: Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) - Desirable: Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd)