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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 ...

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 ...

Motorola

Senior DevOps Engineer (US REMOTE)

Little Rock, AR · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Varsity Tutors

Data Science Tutor

Conway, AR · Remote

$18 - $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

$18 - $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 Jul 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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

Software Engineer

AAIT Health LLC

Little Rock, AR • On-site

Other

Re-posted 3 days ago

Job description

Description

Job Title: Software Engineer

Supervisor: Information Technology Director

Employment Type: Full-Time

FLSA Classification: Exempt

Location: Little Rock, Arkansas


Requirements

 About Us

AAIT Health harnesses AI and automation to reduce the administrative burden on medical and billing teams, so clinicians can focus on exceptional patient care while reducing burnout and boosting employee satisfaction. We are building a next-generation Electronic Medical Records (EMR) platform and related tools that help healthcare organizations work smarter, faster, and more securely.


What You'll Do

Build and improve user-facing product functionality for our EMR platform using React and TypeScript.

Design and implement backend services and REST APIs using .NET/C# (e.g., ASP.NET Core).

Work with SQL databases and Entity Framework/EF Core to support reliable, performant application behavior.

Review current software, analyze issues and opportunities, and present ideas for improvement.

Troubleshoot, support, and maintain systems in production; identify root causes and implement durable fixes.

Partner with stakeholders to understand clinical and operational workflows, translate requirements into technical designs, and deliver iterative improvements.

Implement secure engineering practices appropriate for sensitive healthcare data (e.g., access control, audit logging, safe data handling).

Integrate AI-enabled functionality into the product when appropriate (e.g., approved AI services with monitoring and guardrails).

Prepare and maintain technical documentation for supported systems (e.g., architecture notes, runbooks, and usage guides).

Collaborate with the Director of IT and the Compliance Officer to align engineering practices with applicable policies, procedures, and regulatory requirements.

Perform other related duties as assigned.


You Might Be a Fit If

You have 3+ years of experience building and shipping production software in a product environment (full-stack preferred).

You have experience supporting production systems, debugging complex issues, and improving reliability and performance.

You are comfortable working across the stack with React/TypeScript on the frontend and .NET/C# on the backend.

You have experience with SQL databases and ORMs such as Entity Framework/EF Core.

You are familiar with GitHub and cloud deployment/operations (Azure preferred).

You are comfortable collaborating with non-technical stakeholders and have strong written and verbal communication skills.

You are a self-starter who can prioritize and manage multiple tasks with minimal supervision while providing timely and accurate status reports.

You maintain an obligation to report errors or breaches and work collaboratively with stakeholders to minimize and correct issues.

You are reliable, adhere to administrative and departmental policies, and demonstrate regular attendance and timeliness.


Bonus Points

Experience integrating AI features (e.g., LLM/NLP or other AI services) into production software.

Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest in future in-house model work.

Healthcare or EMR experience and HIPAA-aware development practices.


Role Details

Full-time position with presence in the office required.

Core schedule: Monday-Thursday 8:00 a.m. to 5:00 p.m. and Friday 8:00 a.m. to 12:00 p.m., with occasional work outside regular business hours as needed.

Travel may be required.

The position operates in a professional office environment and involves significant time writing, typing, speaking, listening, standing, sitting, walking, and reaching.

Operation of standard office equipment, non-CDL motor vehicles, mobile phones, and related technology is expected.

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