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Entry Level Machine Learning Jobs in Illinois (NOW HIRING)

University of Utah

Hourly Research Assistants

Campus, IL · On-site

$13.82 - $26.94/hr

This is an Entry-Level position in the Support track. Job Code: S58211 Grade: S14 Expected Pay ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

University of Utah

Hourly Research Assistants

Campus, IL

$13.82 - $26.94/hr

This is an Entry-Level position in the Support track. Job Code: S58211 Grade: S14 Expected Pay ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

University of Utah

Hourly Research Assistants

Campus, IL

$13.82 - $26.94/hr

This is an Entry-Level position in the Support track. Job Code: S58211 Grade: S14 Expected Pay ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

MacLean-Fogg

Forming Operator - 2nd Shift

Richmond, IL

$23 - $25.50/hr

Role Summary The Forming Operator 1 is an entry-level production role responsible for operating and ... This position supports the manufacturing process by assisting with machine setup, performing ...

MacLean-Fogg

Forming Operator - 2nd Shift

Richmond, IL

$16.25 - $19.25/hr

Role Summary The Forming Operator 1 is an entry-level production role responsible for operating and ... This position supports the manufacturing process by assisting with machine setup, performing ...

MacLean-Fogg

Forming Operator - 2nd Shift

Richmond, IL · On-site

$16.25 - $19.25/hr

Role Summary The Forming Operator 1 is an entry-level production role responsible for operating and ... This position supports the manufacturing process by assisting with machine setup, performing ...

MacLean-Fogg

Forming Operator - 2nd Shift

Richmond, IL · On-site

$16.25 - $19.25/hr

Role Summary The Forming Operator 1 is an entry-level production role responsible for operating and ... This position supports the manufacturing process by assisting with machine setup, performing ...

Thoughtworks

Associate-Graduate:Developer

Chicago, IL · On-site

Our entry-level consultants jumpstart their careers with the First Year Experience: Our year-long ... Good to have: exposure to machine learning, LLM fundamentals, agentic AI development, and AI ...

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Entry Level Machine Learning information

See Illinois salary details

$11

$16

$20

How much do entry level machine learning jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for entry level machine learning in Illinois is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.41 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Illinois? The most popular types of Machine Learning jobs in Illinois are:
What are popular job titles related to Entry Level Machine Learning jobs in Illinois? For Entry Level Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Illinois look for? The top searched job categories for Entry Level Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Entry Level Machine Learning jobs? Cities in Illinois with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 66% Full Time, 17% Contract, and 17% Nights. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $35,201 per year, or $16.9 per hour.
Hourly Research Assistants

Hourly Research Assistants

University of Utah

Campus, IL • On-site

$13.82 - $26.94/hr

Part-time

Retirement

Posted 2 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

351st of 560 rated colleges and universities

Job description

Details
Open Date 05/07/2026 Requisition Number PRN44959B Job Title Hourly Research Assistants Working Title Hourly Research Assistants Career Progression Track S00 Track Level S3 - Skilled, S2 - Intermediate, S1 - Entry Level Support FLSA Code Nonexempt Patient Sensitive Job Code? No Standard Hours per Week 20 Full Time or Part Time? Part Time Shift Day Work Schedule Summary
Hybrid; the candidate must be available to work on-site or attend meetings in person during part of their scheduled hours.
VP Area U of U Health - Academics Department 00952 - Division of Epidemiology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 12.85 - 28.96 Close Date 08/07/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Division of Epidemiology in the Department of Internal Medicine is seeking a Research Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as MIMIC-IV, and protected data from the University of Utah Health and the Veterans Health Administration within the UofU CHPC and VA VINCI secure computing environments. This position offers meaningful opportunities to engage in translational research that directly impacts patient care and health system operations.
Job Duties:
  • Develop, maintain, and optimize data processing pipelines for clinical and research datasets using Python and SQL.
  • Assist with the design, training, and evaluation of machine learning models applied to healthcare problems.
  • Support research workflows within established Linux-based environments under technical supervision.
  • Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators.
  • Contribute to manuscript preparation, documentation, and reproducible research practices.
  • Collaborate with clinical and research faculty, staff, and other trainees.
  • Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data governance and compliance requirements

Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Research Assistant, I
Administrative tasks in support of the clinical research program or laboratory. Tasks will vary by department and research category. Typically, manages the front desk, organizes files, and performs other clerical duties associated with research studies and programs. Recruits participants, verifies eligibility, and enrolls subjects. Schedules participant visits and maintains records. Transports samples or laboratory equipment. Monitors inventory levels and orders supplies. Tasks will vary by department and research category.
Requires little to no related experience.
This is an Entry-Level position in the Support track.
Job Code: S58211
Grade: S14
Expected Pay Range: $12.85 to $25.06

Research Assistant, II
Administrative tasks in support of the clinical research program or laboratory. Tasks will vary by department and research category. Typically, manages the front desk, organizes files, and performs other clerical duties associated with research studies and programs. Recruits participants, verifies eligibility, and enrolls subjects. Schedules participant visits and maintains records. Transports samples or laboratory equipment. Monitors inventory levels and orders supplies. Tasks will vary by department and research category.
Requires at least 1 year of related experience.
This is an Intermediate Level position in the Support track.
Job Code: S58212
Grade: S15
Expected Pay Range: $13.82 to $26.94

Research Assistant, III
Administrative tasks in support of the clinical research program or laboratory. Tasks will vary by department and research category. Typically, manages the front desk, organizes files, and performs other clerical duties associated with research studies and programs. Recruits participants, verifies eligibility, and enrolls subjects. Schedules participant visits and maintains records. Transports samples or laboratory equipment. Monitors inventory levels and orders supplies. Tasks will vary by department and research category.
Requires 3+ years of related experience.
This is a Skilled Level position in the Support track.
Job Code: S58213
Grade: S16
Expected Pay Range: $14.85 to $28.96

Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Research Assistant, I: Requires little to no related experience.

Research Assistant, II : Requires at least 1 year of related experience.

Research Assistant, III: Requires 3+ years of related experience.

  • Currently enrolled master's student in computing, informatics, data science, biomedical informatics, or a closely related discipline.
  • Intermediate to advanced proficiency in Python and SQL.
  • Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or similarly complex unstructured data)
  • Intermediate to advanced experience with Linux system administration (shell scripting, package management, user and service configuration).
  • Ability to execute defined tasks independently while receiving structured technical guidance.
  • Availability to attend on-site meetings or work in person for part of the scheduled time.
  • This position requires eligibility for a VA appointment to access VA research systems (e.g., VINCI). Due to federal requirements, eligibility may be limited based on citizenship or visa status.
  • Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs.
  • Familiarity with healthcare data standards (e.g., SNOMED CT, LOINC, RxNorm) or electronic health record systems.
  • Experience with version control (Git/GitHub) and collaborative software development practices.


Preferences Type Benefited Staff Special Instructions Summary
Please submit your resume or CV, including relevant coursework, work experience, and technical skills. A link to your GitHub repository or portfolio of technical work and writing (peer-reviewed papers or other technical/scientific articles, blogs, etc.) is strongly preferred. Applications will be reviewed on a rolling basis.
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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