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Machine Learning Engineer Jobs in Bloomington, IN

Junior Mechanical Engineer

Crane, IN ยท On-site

$47K - $95K/yr

Draft detailed multi-view drawings of systems, machinery spaces, systems, assemblies and products ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Linear Algebra Tutor

Bloomington, IN ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

As a Data Scientist III, you will apply data science, statistics, and machine learning to Code MXM's EMSO mission engineering -- supporting statistical and analytical investigations, data mining, and ...

As a Data Scientist III, you will apply data science, statistics, and machine learning to Code MXM's EMSO mission engineering - supporting statistical and analytical investigations, data mining, and ...

Data Scientist

Crane, IN ยท On-site

$80K - $95K/yr

Support LXN with engineering services as required. Travel and On-Site Support * Travel is expected ... Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing. * Experience with ...

Showing results 41-60

Machine Learning Engineer information

See Bloomington, IN salary details

$27.5K

$112.3K

$168.8K

How much do machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer in Bloomington, IN is $112,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $135,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Bloomington, IN?

The most popular types of Machine Learning Engineer jobs in Bloomington, IN are:

What are popular job titles related to Machine Learning Engineer jobs in Bloomington, IN?

For Machine Learning Engineer jobs in Bloomington, IN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Bloomington, IN look for?

The top searched job categories for Machine Learning Engineer jobs in Bloomington, IN are:

What cities near Bloomington, IN are hiring for Machine Learning Engineer jobs?

Cities near Bloomington, IN with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $112,341 per year, or $54 per hour.

Open Rank Clinical positions, Kelley School of Business (Operations and Decision Technologies, Infor

Indiana University

Bloomington, IN โ€ข On-site

Full-time

Posted 18 days ago


Job description

Posting Details
Position Details
Title
Open Rank Clinical positions, Kelley School of Business (Operations and Decision Technologies, Information Systems)
Appointment Status
Non-Tenure Track
Department
IU Bloomington Operations and Decision Technologies
Location
Bloomington
Position Summary
The Operations and Decision Technologies (ODT) Department of the Kelley School of Business at Indiana University - Bloomington invites applications for an open-rank, non-tenure-track clinical faculty position in Information Systems (IS) beginning in Fall 2027. The ODT Department consists of the Information Systems, Operations Management, and Decision Sciences groups and offers IS programs at the Undergraduate, Master's, and Doctoral levels. The Kelley undergraduate program in Information Systems is ranked #6, and our graduate programs in IS are ranked #8 by US News & World Report.
Clinical faculty play a critical role in the dept and School's success. We offer opportunities to advance through the ranks, and clinical faculty are eligible for leadership roles within the School and the University.
Basic Qualifications
For a candidate to be considered at the Clinical classification, a PhD, DBA, or ABD in information systems, computer science, information technology, or a closely related field is required. The degree should be completed by August 2027. Candidates should have professional experience, and ideally, experience teaching at the undergraduate and graduate levels. The major teaching responsibilities involve information systems courses (including enterprise systems, computer programming, database, AI in Business, Business Analytics, Machine Learning/Deep Learning/Reinforcement Learning, Advanced topics in AI, and other technical courses) in the undergraduate and master's programs. Research in IS pedagogy is also desirable.
Department Contact for Questions
Candidates should direct any questions to Claire Tafoya, odt@iu.edu.
Additional Qualifications
Salary and Rank
Special Instructions
To ensure consideration, applications should be received by September 20, 2026; however, the search will continue until the positions are filled. Interested applicants should review position requirements and apply at https://indiana.peopleadmin.com/postings/34084.
The optional application document listed as "Other" should include Sample Course Material. Sample Course Materials can include teaching materials, cases developed, assignments etc.
For Best Consideration Date
09/20/2026
Expected Start Date
08/01/2027
Posting Number
IU-101640-2026