Machine Learning Engineer

Role Overview

Rolls-Royce is hiring a Machine Learning Engineer to contribute to a growing team focused on AI/ML, data science, and software engineering challenges. The role centers on creating and deploying tools that generate insights from Rolls-Royce products, while working closely with a cross-functional group in a collaborative technical environment.

Work Setup

This is a full-time position based in Indianapolis, IN with a hybrid schedule. The expectation is to work onsite at least three days per week, with the remaining time split between home, the office, or another remote location as arranged locally.

About Rolls-Royce

Rolls-Royce is a long-established global brand known for innovation, engineering excellence, and dependable critical power systems. The company supports customers where safety and reliability matter most and aims to continue building on its history of progress and impact.

The employer has been named the top organization in the Engineering & Manufacturing category on Forbes Top Employers for Engineers list for 2025, reflecting its emphasis on innovation, employee growth, and collaborative engineering culture. The workplace is designed to be inclusive, supportive, and development-oriented, and the company is an equal opportunity employer that considers all qualified applicants without regard to protected characteristics.

What You Will Do

• Partner with IT and Rolls-Royce fleet engineering teams to identify and support opportunities where digital solutions can create the greatest value.
• Work with large datasets from engine sensors, test rigs, and fleet operations by cleaning, understanding, and analyzing the data.
• Develop, train, and assess machine learning models for applications such as engineering knowledge search, anomaly analysis, production support, and predictive maintenance.
• Record work clearly and share results with both technical specialists and non-technical stakeholders.

Requirements

Rolls-Royce evaluates candidates based on core behaviors that emphasize safety, integrity, simplicity, and impact. These principles are part of the hiring assessment and are expected across all roles.

• A bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, or Physics, along with at least 2 years of machine learning experience; or
• A master’s degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, or Physics; or
• A PhD in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, or Physics.
• U.S. citizenship is required for consideration.
• Preferred: 3+ years of machine learning experience.
• Preferred: background in speeding up product design and delivering meaningful digital products.
• Preferred: familiarity with modern software development approaches and programming languages.
• Preferred: experience building solutions in surrogate modelling, Generative AI, or Agentic AI.
• Preferred: strong technical and interpersonal abilities, including systems thinking, communication, time management, business awareness, and collaboration across multidisciplinary teams.
• Preferred: strong problem-solving ability and comfort working with people outside data or AI specialties, including engineers and support teams for mechanical systems.
• Preferred: experience mentoring and coaching colleagues, along with a habit of continuously learning and sharing new knowledge in a fast-moving field.

Benefits and Additional Information

The company offers development opportunities, competitive compensation, and a strong benefits package. Benefits mentioned include bonus eligibility, employee support assistance, and employee discounts.

Hybrid work is intended to help employees balance time between the workplace, home, or another remote location. Attendance at the workplace is expected on average three days per week for collaboration and other business needs.

For fully remote arrangements, employees may reside in any U.S. state except Idaho, Nebraska, Nevada, Vermont, and Wyoming.

Relocation support is available for this role.

Grade level: GG10.

Application closing date: July 9, 2026.

Job category: Mechanical Systems.

Posting date: 02 Jul 2026; 00:07.

Salary range: $98,566 to $160,169 annually.

Benefits

Eligible employees may receive access to health, dental, and vision coverage; disability, life, and accidental death and dismemberment insurance; flexible spending and health savings accounts; a 401(k) retirement plan with company match; an Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. Availability of benefits may vary based on factors such as hire date, employment type, and collective bargaining agreements.

Equal Opportunity

Rolls-Royce is committed to fair hiring and employment practices. All qualified candidates will be reviewed without discrimination based on protected characteristics.