Principal Data Scientist & Machine Learning Researcher

Requirements

• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
• Multiple years 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. This can be technical leadership and/or line management.
• Experience of leading teams following agile principles.
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.
• 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 your actions.
• Desirable
• PhD. or Masters degree highlighting experience of academic research.
• Experience of deploying AI models in a scalable way for external users.
• Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
• Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd...)
• Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
• Research publications in peer reviewed journals.
• Experience of delivering AI/ML projects in defence or government.
• Existing network of contacts across defence and government.