What you will be doing

With this attractive opportunity you will get a chance to:

•    Work with IT, and Rolls-Royce engineering teams address key opportunities for application of digital technologies providing optimal impact and value.
•    Understand, clean, and analyze large datasets from engine sensors, test rigs, and fleet operations.
•    Build, train, and validate machine learning models for tasks such as searching engineering knowledge, anomaly research, production support, and predictive maintenance.
•    Document your work clearly and present findings to both technical and non-technical audiences.

Who we’re looking for:

At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles.

Basic Requirements:

• Bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Physics; OR
• Masters degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Physics, OR
• PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics, Physics.
• In order to be eligible for consideration, you must be a U.S. Citizen

Preferred Requirements:

• 1+ years of Machine Learning experience which can include internships
• Experience or interest in modern software development methodologies and coding languages
• Experience or interest in developing solutions in surrogate modelling, Generative AI, or Agentic AI
• Technical and soft skills including systems thinking aptitude, communications, time management, and collaboration across multi-disciplinary teams.
• Interest in problem-solving and the ability to work across disciplines with people who are not data or A.I. specialists but engineer and support mechanical systems.
• Aspire to actively learn and dynamically respond to evolving objectives and emerging opportunities.