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Junior Machine Learning Engineer Jobs in Benton, AR

GenAI Python Systems Engineer -Senior Manager

Little Rock, AR · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

Enhance student interest by facilitating real-world learning opportunities, hands-on demonstrations ... Ben Gilbert Design Engineer/Shop Coordinator/Instructor 501.916.6678 rbgilbert@ualr.edu ETAS Annex ...

ERP AI Engineer - Manager

Little Rock, AR · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Experience with Machine Learning / AI methodologies and related applications, including generative AI model validation and validation framework development. * Excellent written and oral communication ...

Data Engineer - Senior Associate

Little Rock, AR · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Focused on relationships, you are building meaningful client connections, and learning how to ... guiding junior team members - Upholding standards in project deliverables - Building and ...

IS Design Manager

Little Rock, AR · On-site

$102K - $104K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Preferred Education, Experience, and Qualifications • Engineering Intern (EI) certification and ...

SVP, Chief Technology Officer (CTO)

Little Rock, AR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

Mechanical Engineer PE I

Little Rock, AR · On-site

$79K - $106K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR · On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Showing results 41-60

Junior Machine Learning Engineer information

See Benton, AR salary details

$28.4K

$61K

$93K

How much do junior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior machine learning engineer in Benton, AR is $60,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,200.00 and $67,900.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities near Benton, AR are hiring for Junior Machine Learning Engineer jobs?

Cities near Benton, AR with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Benton, AR as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $60,959 per year, or $29.3 per hour.

COSMOS - Graduate Research Assistant (ML/AI)

University of Arkansas System

Little Rock, AR • On-site

$11K - $13K/mo

Part-time

Re-posted 28 days ago


University Of Arkansas System rating

7.1

Company rating: 7.1 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

410th of 619 rated colleges and universities


Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System will also view open positions and apply within Workday by searching for "Find Jobs for Students".
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Closing Date:
Type of Position:
Graduate Assistant
Workstudy Position:
No
Job Type:
Academic Term (Fixed Term)
Work Shift:
Sponsorship Available:
No
Institution Name:
University of Arkansas at Little Rock
The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.
Department:
COSMOS - Provisional Positions
Department's Website:
https://cosmos.ualr.edu/
Summary of Job Duties:
The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio-computational models to analyze social media data, particularly video-based social media data. Analysis will include (but not limited to) content analysis and network analysis. Content will include text, multimedia, and metadata. The Graduate Research Assistant will work with the research team to develop predictive models of socio-technical behaviors and identify key actors and key groups responsible for coordinating cyber campaigns. This is an on-campus position. Position reports to Dr. Nitin Agarwal (nxagarwal@ualr.edu), Maulden-Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA-Little Rock. This position is governed by state and federal laws, and agency/institution policy.
Qualifications:
Required Education and/or Experience:
  • Bachelor's Degree from an accredited institution of higher education;
  • Regular admission to a graduate degree program or good standing with the Graduate School for continuing graduate students;
  • Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance.

Preferred Education and/or Experience:
  • The candidate must have a bachelor's degree in Computer Science, Information Science, or a related discipline;
  • A candidate with experience in computer programming and data management will be given preference;
  • Experience with graph theory and graphic libraries such as Gephi or NetworkX.;
  • Experience with crawling web data;
  • Familiar with UNIX-based systems such as Linux.

Job Duties and Responsibilities:
  • Conduct research applying machine learning and AI methods to social media data;
  • Assist with video-based online information environment analysis;
  • Assist with data collection, cleaning, preprocessing, analyzing findings from the data, writing research findings, and presenting the research at conferences, scientific venues, program reviews, and other venues;
  • Assist in preparing reports and publications;
  • Coordinate meetings and lead discussions;
  • Other tasks as needed.

Knowledge, Skills, and Abilities:
  • Extensive knowledge of R or Python, including data analysis and graphing libraries such as Pandas, Matplotlib, Plotly, as well as ML libraries such as SK-Learn, TensorFlow;
  • Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.;
  • Knowledge of DB systems and SQL language;
  • Knowledge of computational social science and social network analysis;
  • Ability to interact with people of diverse ethnic backgrounds;
  • Communication skills, writing skills, and public speaking;
  • Effective organizational skills.

Additional Information:
Salary Information:
$11,250-$13,500
Required Documents to Apply:
Resume
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Prof. Nitin Agarwal, Maulden-Entergy Endowed Chair, Donaghey Distinguished Professor, and Director, COSMOS Research Center at UA-Little Rock.
nxagarwal@ualr.edu
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Pre-employment Screening Requirements:
No Background Check Required
The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Frequent Physical Activity:
Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Occasional Physical Activity:
Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Benefits Eligible:
No

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About University of Arkansas System

Sourced by ZipRecruiter

The University of Arkansas System is a prominent player in the education industry, based out of Little Rock, AR, in the United States. Serving as the governing body of various public universities, two-year community colleges, and other educational institutions throughout Arkansas, the System plays an integral role in shaping the state's educational landscape. Established in 1871, the University of Arkansas System is characterized by its commitment to education and its deep-seated values of academic freedom, shared governance, and equal opportunity. Through relentless pursuit of its mission - to improve the mind, body, and keep the quality and accessibility of education services at the forefront of its operations, the system has achieved significant milestones, such as being accredited by the Higher Learning Commission.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Little Rock, AR, US

Year founded

1871

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