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Junior Machine Learning Jobs in Indiana (NOW HIRING)

AI Solutions Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Apply advanced modeling techniques, including machine learning, deep learning, statistical methods ... Provide technical leadership and mentorship to junior team members. What You Need to Succeed ...

Apply advanced modeling techniques, including machine learning, deep learning, statistical methods ... Provide technical leadership and mentorship to junior team members. What You Need to Succeed ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

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Showing results 1-20

Junior Machine Learning information

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
Infographic showing various Junior Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Junior Machine Learning Engineer

Junior Machine Learning Engineer

Rolls-Royce

Indianapolis, IN • On-site

$66K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Rolls-Royce rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

24th of 427 rated machine equipment manufacturers


Job description

Job Description
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.
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 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
Job Category
Mechanical Systems
Job Posting Date
02 Jul 2026; 00:07
Pay 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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