• Build scalable algorithms: Contribute to forecasting, pricing, and optimisation solutions that perform across large and complex data sets. • Contribute to technical direction: Take part in design discussions for high-volume data processing. • Collaborate and grow: Work closely with Product, Data, and Delivery teams. • Improve and evolve systems: Help improve the robustness, performance, and scalability of models, workflows, and distributed systems.

• Design and deliver scalable algorithms: Develop forecasting, pricing, and optimisation solutions that perform across large and complex data sets. • Lead technical direction: Guide architectural and design decisions for high-volume data processing, ensuring accuracy, explainability, and reliability in production. • Collaborate and mentor: Work closely with Product, Data, and Delivery teams to translate business and market requirements into performant solutions, while mentoring peers through code reviews and knowledge sharing. • Optimise and evolve systems: Improve robustness, performance, and scalability of models, workflows, and distributed systems; contribute reusable components that raise the standard for algorithmic excellence.

• Develop, set-up, and execute CFD simulations using commercial or open-source solvers for high-speed aerospace system problems, including external and internal flows. • Create aerodynamic databases for vehicle trajectory simulations and performance models. • Perform analysis of internal flows of airbreathing propulsion flowpaths. • Develop and recommend design solutions to optimize aerodynamic performance and operability for high-speed systems. • Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results. • Support multidisciplinary design optimization (MDO) efforts. • Interpret and validate CFD simulation results against experimental data.

• Lead the development, industrialisation and improvement of Manufacturing Systems • Serve as the customer-facing representative of the ME function • Focus on delivery of non-recurring engineering projects, including New Product Introductions (NPI), Transfers of Work (ToW), Major Modifications (Mods), Technology Insertions and resolving manufacturing process related quality and delivery challenges • Lead deployed ME resources to deliver manufacturing systems in compliance with identified requirements • Ensure adherence to Zero Defect Manufacturing (ZDM) standards • Validate and approve the proposed definition of the Manufacturing System and its associated performance targets • Review output for technical risks and communicate these to the Programme • Own the Non-Recurring Engineering cost estimate for the ME technical content delivery • Deliver a Manufacturing System that fulfills all agreed stakeholder requirements • Govern and oversee a portfolio of Manufacturing Systems • Accountable for delivery of the non-recurring ME activities within a given programme or project • Drive technical leadership and direction using project management fundamentals • Maintain positive and functional working relationships with internal and external customers