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Machine Learning Engineer Associate Jobs in Jacksonville, AR

Triunity Software

AI Engineer

Little Rock, AR · On-site

$100K - $110K/yr

Design, develop, and deploy machine learning models and AI-driven applications * Collaborate with software engineers and product teams to integrate AI solutions into existing platforms * Analyze ...

AAIT Health LLC

Software Engineer

Little Rock, AR · On-site

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA ... Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest ...

AAIT Health

Software Engineer

Little Rock, AR · On-site

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA ... machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest in future in ...

Intralot

BI Engineer

Little Rock, AR · On-site

$49 - $63.50/hr

BI Engineer Bally's Intralot is a leading provider of lottery, iLottery, sports betting, and ... Experience using internal and external AI or machine learning tools to support data analysis ...

BALLY'S INTRALOT SA

BI Engineer

Little Rock, AR · On-site

$49 - $63.50/hr

BI Engineer Bally's Intralot is a leading provider of lottery, iLottery, sports betting, and ... Experience using internal and external AI or machine learning tools to support data analysis ...

Varsity Tutors

Data Science Tutor

Conway, AR · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Uasys

Machine Shop Fabricator - 12 MONTH

Little Rock, AR · On-site

$52K/yr

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 ...

Varsity Tutors

Python Tutor

Conway, AR · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Pwc

ERP AI Engineer - Manager

Little Rock, AR · On-site

$99K - $232K/yr

... 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 ...

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Showing results 41-60

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Jacksonville, AR

Machine Learning Engineer Associate information

See Jacksonville, AR salary details

$37K

$73.7K

$117.7K

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

As of Sep 11, 2026, the average yearly pay for machine learning engineer associate in Jacksonville, AR is $73,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $84,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
Machine Learning Engineer Associate jobs near you

EAC Graduate Assistant (Multiple Open Positions)

Little Rock, AR • On-site

University of Arkansas System
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Arkansas Systemexternal

Part-time

Re-posted 28 days ago

Key responsibilities

  • Participate in supervised and non-supervised research and development of EAC projects.

  • Contribute to project development in fields such as interactive immersive technologies or cyber security.

  • Apply knowledge of software-development processes or digital workflows to support project activities.

University Of Arkansas System rating

7.5

Company rating: 7.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Current University of Arkansas System employees including student employees and graduate assistants need to log into Workday on My Apps. Simply enter "Find Jobs" in the Workday search bar to view open positions.
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). To view the job posting closing date please return to the search for jobs page.
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.
Type of Position:
Graduate Assistant
Workstudy Position:
No
Job Type:
Academic Term (Fixed Term)
Work Shift:
Day Shift (United States of America)
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:
EAC Operations
Department's Website:
Summary of Job Duties:
The EAC is seeking talented student researchers for the academic semester. The student researchers will participate in project development of EAC relevant fields such as interactive immersive technologies or cyber security. The position can be extended to future semesters. Students are expected to have an adequate background in software-development processes or digital workflows. The position is governed by state and federal laws.
Qualifications:
Required Education and/or Experience:
  • Degree from an accredited institution of higher education;
  • Regular admission to a UA Little Rock graduate degree program or good standing with the UA Little Rock 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:
  • Strong background in (real-time) computer graphics, game engines, human-computer interaction, or machine learning;
  • Experience in software-development processes or digital workflows preferred.

Job Duties and Responsibilities:
  • Participate in supervised as well as non-supervised research and development of EAC projects.

Knowledge, Skills, and Abilities:
  • Proficient in advanced computer literacy including automation technologies;
  • Proficiency in programming languages such as C++, Python, or JavaScript;
  • We expect familiarity with one or more of the following: Experience with computer-graphics APIs (e.g., OpenGL, DirectX, Vulkan) and frameworks (e.g., Unity, Unreal) or interactive software frameworks (e.g., Flutter/Kotlin, Angular JS);
  • Machine-learning software frameworks (e.g., TensorFlow, PyTorch) and data analysis techniques;
  • For Cyber Security web development, data bases, machine learning, and cloud API's;
  • Excellent problem-solving skills, critical thinking, and a passion for research;
  • Familiarity with reading and analyzing scientific publications and writing project documentation;
  • Applicants are encouraged to provide samples of their previous experiences (e.g., software repositories, published papers, portfolios).

Additional Information:
Salary Information:
Commensurate with education and experience
Required Documents to Apply:
Resume
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Tom Coffin, Research Associate, tacoffin@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, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. 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:
Hearing, Manipulate items with fingers, including keyboarding, Standing, Talking
Frequent Physical Activity:
Hearing, Manipulate items with fingers, including keyboarding, Sitting, Talking
Occasional Physical Activity:
Standing, Walking
Benefits Eligible:
No

What University Of Arkansas System employees say

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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

Social media

Twitter

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