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Rolls-Royce

Junior Machine Learning Engineer

Salary:  $66,306 – $107,747 per annum
Location:  Indianapolis | United States of America
Location flexibility:  3 office days / week
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Job Description


Job Description

Job Title: Junior Machine Learning Engineer

Working Pattern: Full time

Working location: Indianapolis, IN. (Hybrid: 3 days on site)

Relocation assistance will be provided if applicable.

Why Rolls-Royce?

At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere.

By joining Rolls-Royce, you’ll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first.

You’ll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it’s your chance to really shine and contribute to one of the world’s most recognized brands and a beacon for engineering excellence

Position Summary

As a Rolls-Royce Product Definition Engineer your main task will be to produce and (where adequate capability has been demonstrated) check Component definitions (such as Model Based Definitions - MBDs) in line with Engineering Standards to meet design intent, satisfying fit, form and function of the component while optimizing for manufacture.

What you will be doing

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.

  • 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.

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 considered for this opportunity, you must be a US 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 that include; 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.

Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It’s a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you’re driven to grow, to learn, and to make a lasting difference, this is where you belong.

Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive.

Infinite Potential

Closing Date: October 5, 2026


Job Category

Mechanical Systems


Job Posting Date

29 Sep 2026; 00:09

Pay Range

Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range.

$66,306 - $107,747-Annually


Location:

Indianapolis, IN


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.

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Working at Rolls-Royce

3 office days / week

Fully flexible hours

Company benefits

25 days annual leave + bank holidays
401K
Adoption leave
Annual bonus
Bike parking
Carer’s leave
Childcare credits
Cinema discounts
Coaching
Collaboration spaces
Cycle to work scheme
Electric Car Salary Sacrifice
Employee discounts
Enhanced maternity leave
Enhanced maternity leave
Enhanced pension match/contribution
Ergonomic workstations
Faith rooms
Family health insurance
Further education support
Health insurance
In house training
L&D budget
Lunch and learns
Mentoring
Modern office
Neonatal leave
On-site barista
On-site catering
Open to compressed hours
Open to job sharing
Open to part time work for some roles
Open to part-time employees
Private booths
Referral bonus
Share options
Shared parental leave
Studying sabbaticals
Theme park discounts
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