Principal Data Scientist & Machine Learning Researcher

This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused objectives. In this role you will work with a high level of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement, and deliver technical solutions on internal and external projects.

• Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage across our customer community.
• Work with autonomy to develop complex novel data science solutions.
• Support in triaging and responding to opportunities aligning to the group and wider business strategies.
• Design and deliver data-centric solutions while working collaboratively across disciplines.
• Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
• Provide technical leadership across multiple projects.
• Manage more junior team members across the SRG.
• Deliver AI/ML/Data Science solutions to a broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and perform the technical development required for delivery.
• Excellent communication skills, prepared to present and undertake practical demonstrations of work internally to the team, senior stakeholders, and at conferences with adaptability to audiences of different technical levels.

• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
• Multiple years' experience delivering novel ML solutions to customers and internal stakeholders.
• Excellent coding practice using Python and ML packages (HuggingFace, TensorFlow, PyTorch).
• Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.
• Experience with version control and environment management (such as virtual environments or Docker).
• Experience writing technical project proposals.
• Experience managing teams (technical leadership and/or line management).
• Experience leading teams following agile principles.
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, with ability to propose research beyond existing literature.
• Experience training and developing AI models including Large Language Models.
• Ability to produce high-quality scientific writing for internal/external stakeholders and academic publications.
• Ability to work autonomously with awareness of business policies and strategy.

• PhD or Masters degree highlighting experience of academic research.
• Experience 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 command-line functionality (e.g., AWS CLI, Docker CLI).
• Experience working in Cloud environments, especially AWS (also GCP or Azure).
• Research publications in peer-reviewed journals.
• Experience delivering AI/ML projects in defence or government.
• Existing network of contacts across defence and government.

• Competitive salaries.
• 25 days holiday plus statutory public holidays; opportunity to buy and sell up to 5 days (37hr).
• Contributory Pension Scheme (up to 10.5% company contribution).
• Company bonus scheme (discretionary).
• 6 times salary Life Assurance with pension.
• Flexible Benefits scheme with salary sacrifice options including Health Cash Plan, Dental and Cycle to Work.
• Enhanced sick pay.
• Enhanced family-friendly policies including enhanced maternity, paternity & shared parental leave.
• Car/Car allowance (dependent on grade/role).
• Private Medical Insurance (dependant on grade).

• 37-hour working week; hours may vary by role, requirement, or on-site arrangements.
• Early finish on Fridays; start your weekend early (1:30pm).
• Remote, hybrid, and site-based working opportunities depending on needs and role requirements.
• A grownup, flexible working culture that is output-focused; formal flexible arrangements can be requested and assessed.
• Up to 5 paid volunteering days each year.

Raytheon UK is part of the RTX organisation. RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses. RTX adheres to equal employment principles; all qualified applications will be considered without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status, or any other protected characteristic.

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Staff IC

Machine Learning, Python, Data Science, AI, R, Research Experience, Sensors, Drug Discovery, Research & Development, Natural Language Processing, Data Analysis Skills, Toxicology Experience

Employment Type : Full-Time

Experience : years

Vacancy : 1