Job Title: Junior Machine Learning Engineer

Working Pattern: Full-time

Working location: Indianapolis, IN  (Hybrid Schedule/3 days onsite minimum)

We’re looking for a Junior Machine Learning Engineer to join our growing team. In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.  You’ll be part of a multi-disciplinary team, working together to tackle technical challenges in a stimulating and collaborative environment.  In this role, your focus will be on building and deploying tools to deliver insights on Rolls-Royce products.

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.

What we offer

We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts.

Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location.  It’s a locally managed and flexed informal discretionary arrangement. 

As a minimum we’re all expected to attend the workplace for collaboration and other specific reasons, on average three days per week.

For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming.

Relocation assistance is available for this position.

Global Grade 8

Closing date:  July 5th, 2026

Benefits

Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.