Principal Data Scientist & Machine Learning Researcher

Required Skills & Experience

• 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 Skills & Experience

• 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.

Benefits and Work Culture

• 37hr working week with early finish Fridays - start your weekend early!
• An informal, flexible working culture that is output focused, not time spent at desk.
• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering.
• Contributory Pension Scheme (up to 10.5% company contribution)
• Annual company bonus scheme (discretionary).
• 6 times salary ‘Life Assurance’ with pension.
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.

Raytheon UK

RTX

Privacy Policy and Terms