About the role
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.
Responsibilities
* 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.
Requirements
* 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.
Desirable
* 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.
Benefits and Work Culture
Benefits
* 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).
Work Culture
* 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.
RTX and compliance
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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Required Experience
Staff IC
Key Skills
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
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