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Machine Learning Engineer Jobs in Conway, AR (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Conway, AR

Machine Learning Engineer information

See Conway, AR salary details

$27.6K

$112.9K

$169.7K

How much do machine learning engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning engineer in Conway, AR is $112,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $135,900.00 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.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Conway, AR?

The most popular types of Machine Learning Engineer jobs in Conway, AR are:

What are popular job titles related to Machine Learning Engineer jobs in Conway, AR?

For Machine Learning Engineer jobs in Conway, AR, the most frequently searched job titles are:

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Conway, AR as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $112,927 per year, or $54.3 per hour.

Graduate Assistant/EAC (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

$12.50 - $15.75/hr

Part-time

Re-posted 6 days ago

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 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 two-year institutions 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:
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:
  • Bachelor's 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:
  • Enrolled in a relevant graduate program (e.g., Computer/Information Science, Computer Engineering, or a related field)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 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:
Sitting
Frequent Physical Activity:
Sitting
Occasional Physical Activity:
Sitting
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

Social media

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