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Afternoon Mechanical Engineering Machine Learning Jobs in Indiana

Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on ... I. specialists but engineer and support mechanical systems. * Experience with mentoring and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Afternoon Mechanical Engineering Machine Learning information

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms and models for automation, robotics, and predictive maintenance. Gaining skills in programming languages like Python, and understanding data science tools, can facilitate their transition into machine learning roles. Interdisciplinary expertise and additional training in machine learning techniques are often beneficial for such careers.

What are the key skills and qualifications needed to thrive as an afternoon mechanical engineering machine learning professional?

To excel in this role, you need a solid background in mechanical engineering principles, mathematics, and machine learning concepts, usually supported by a relevant engineering degree. Familiarity with technical tools such as Python, MATLAB, CAD software, and machine learning frameworks (like TensorFlow or scikit-learn) is typically required. Strong analytical thinking, problem-solving, and effective teamwork are valuable soft skills for integrating machine learning with mechanical systems. These competencies are crucial for developing innovative solutions and optimizing engineering processes with data-driven approaches.

What is the difference between Afternoon Mechanical Engineering Machine Learning vs Afternoon Mechanical Engineering Data Analysis?

AspectAfternoon Mechanical Engineering Machine LearningAfternoon Mechanical Engineering Data Analysis
Required CredentialsBachelor's or Master's in Mechanical Engineering, proficiency in machine learning toolsBachelor's or Master's in Mechanical Engineering, strong data analysis skills
Work EnvironmentResearch labs, tech companies, manufacturing firmsDesign firms, manufacturing plants, research institutions
Employer & Industry UsageTech-driven engineering sectors applying AI/MLTraditional engineering sectors focusing on data interpretation
Search & Comparison IntentUnderstanding roles involving AI/ML in mechanical engineeringComparing data analysis tasks within mechanical engineering

Afternoon Mechanical Engineering Machine Learning focuses on applying AI and machine learning techniques to mechanical engineering problems, often requiring programming and data modeling skills. In contrast, Afternoon Mechanical Engineering Data Analysis emphasizes interpreting and visualizing data to inform engineering decisions. Both roles share foundational engineering knowledge but differ in their technical focus and application areas.

How do mechanical engineers specializing in machine learning typically collaborate with other departments during afternoon shifts?

Mechanical engineers working in machine learning often collaborate closely with data scientists, software developers, and production teams, especially during afternoon shifts when testing and implementation often ramp up. They may participate in cross-functional meetings to align on project goals, troubleshoot issues with live data, and refine machine learning models based on feedback from manufacturing or operations staff. This collaborative environment helps ensure that algorithms are practical, efficient, and aligned with real-world applications. Effective communication and adaptability are key, as priorities can shift rapidly based on production needs.

What is an afternoon mechanical engineering machine learning job?

An Afternoon Mechanical Engineering Machine Learning job typically refers to a position where professionals apply machine learning techniques to solve problems in mechanical engineering, with working hours scheduled in the afternoon. These roles often involve analyzing engineering data, developing predictive models, and optimizing mechanical systems using advanced algorithms. The work may include tasks such as fault detection, predictive maintenance, or process optimization, leveraging both engineering expertise and machine learning skills. Employees in such positions usually have backgrounds in both mechanical engineering and computer science or data analytics.
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Indiana? The most popular types of Mechanical Engineering Machine Learning jobs in Indiana are:

Machine Learning Engineer

Rolls-Royce

Indianapolis, IN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Rolls-Royce rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

25th of 487 rated machine equipment manufacturers


Job description


Job Description

Job Title: Machine Learning Engineer

Working Pattern: Full-time

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

We're looking for a 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.

Why Rolls-Royce?

Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount.

We are proud to be a force for progress, powering, protecting and connecting people everywhere.

We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey.

Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive.

Be part of a team that sets the industry standard and drives groundbreaking solutions.

At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference.

Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics.

What you will be doing

With this attractive opportunity you will get a chance to:

Work with IT, and Rolls-Royce Fleet 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, Data Science, Physics with 2+ years of machine learning experience; OR
  • Masters degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics, OR
  • PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics, Data Science or Physics.
  • In order to be eligible for consideration, you must be a U.S. Citizen

Preferred Requirements:

  • 3+ years of machine learning experience
  • Experience in accelerating product design and delivering impactful digital products
  • Experience with modern software development methodologies and coding languages
  • Experience developing solutions in surrogate modelling, Generative AI, or Agentic AI
  • Excellent technical and soft skills including systems thinking aptitude, communications, time management, business acumen, and collaboration across multi-disciplinary teams.
  • Strong problem-solving instincts and the ability to work across disciplines with people who are not data or A.I. specialists but engineer and support mechanical systems.
  • Experience with mentoring and educating other members of the team. Actively learn, develop, apply, and share recently gained knowledge and skills in this face-paced and dynamic discipline.

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.

Grade Level: GG10

Closing date: 8/8/2026


Job Category
Mechanical Systems

Job Posting Date
04 Aug 2026; 00:08

Pay Range
$98,566 - $160,169-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.


What Rolls-Royce employees say

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