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

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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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 12, 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.

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:
Software Engineer II

Software Engineer II

Pain Treatment Centers of America

Little Rock, AR • On-site

Full-time

Posted 18 days ago


Pain Treatment Centers Of America rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Description:

SUMMARY OF RESPONSIBILITIES

The Tier II Software Engineer is responsible for reviewing current software, developing and writing new software using AI integrations and machine learning, analyzing and presenting ideas for improvement for software applications under development as needed.


ESSENTIAL FUNCTIONS

  • The Software Engineer is responsible for reviewing current software, processing, analyzing and presenting ideas for improvement as needed.
  • Develops, revises, and/or implements new applications in order to continually improve production.
  • Develops and improves new software ideas and programs in order to improve efficiency and performance.
  • Responsible for troubleshooting, supporting, and maintaining backend systems currently in production, and improving and maintaining existing backend infrastructure.
  • Develops and improves new software ideas and programs in order to improve efficiency and performance.
  • Ability to work with the customers/employees in difficult situations by balancing technical knowledge and people skills.
  • Prepares, revises, and/or implements documentation and usage guides for software development.
  • Collaborating with the Director of IT in order to maintain computer hardware/software inventory.
  • Generates solutions using robotic process automation tools.
  • Develops and assists management in implementing automation tools and processes to improve efficiency across multiple parts of the company.
  • Collaborates with the Director of IT and the Compliance Officer to review, revise, and implement policies and procedures within the department to ensure that best practices are followed while remaining in compliance with federal/state laws, rules, and regulations.
  • Ability to work with the customers/employees in difficult situations by balancing technical knowledge and people skills.
  • Possesses intermediate to advanced knowledge of one or more programming languages and development environments.
  • Prepares, revises, and/or implements documentation and usage guides for software development.
  • Guides and supervises technical aspects of projects in development.
  • Performs other related duties as assigned.


Requirements:

CORE COMPETENCIES

  • 3+ years of experience developing/writing software with AI integration applications.
  • Proven track record of deploying AI models in production environments.
  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience in UI Path, Angular, Django, Tensorflow, Python, Github, and JIRA.
  • Take directions and initiate actions (cross/ additional training) that will allow the assumption of cross-functional duties to ensure a seamless workflow.
  • Create and maintain technical/process documentation related to user or system design specifications.
  • Self-starter and comfortable with working independently while providing timely and accurate status reports.
  • Maintains an obligation to report any errors or breaches and work collaboratively with other stakeholders to minimize and correct issues.
  • Ability to prioritize and manage multiple tasks without direct supervision.
  • Multi-tasking abilities, along with ability to work well under pressure, prioritize and meet tight deadlines.
  • Must be able to work independently in a fast-paced environment and exhibit strong written and verbal communication skills.
  • Strong customer service and prompt problem-solving skills including the ability to provide diligent, prompt, and courteous responses to user questions or computer/network issues.
  • Consistently evaluate work completed and determine if further steps are needed to meet client expectations.
  • Take initiative to do to redo inadequate or incomplete work, even if it is not yours.
  • Ensure compliance with regulatory standards.
  • Consistently demonstrate ability to respond to changing situations in a flexible manner in order to meet current needs, such as reprioritizing work as necessary.
  • Organize job functions and work area to be able to effectively complete varied assignments within established time frames.
  • Consistently demonstrate ability to take the initiative to make decisions/choices without direct supervision.
  • Adhere to administrative and departmental policies.
  • Demonstrate regular attendance and timeliness.
  • Do not incur excessive overtime.
  • Remain conscientious in regard to personal hygiene.
  • Demonstrate knowledge and understanding of all policies and procedures and ability to reference them from appropriate sources.
  • Demonstrate adherence and support of company-wide service standards as evidenced by observation and feedback from patients, family members, and other clients.

REQUIRED EDUCATION, EXPERIENCE, AND/OR CERTIFICATIONS

This is a full-time position. Days and hours of work are expected to fluctuate but at a minimum this position will be required to work from 8:00 a.m. to 5:00 p.m. (Monday through Thursday) and 8:00 a.m. to 12:00 p.m. (Friday), and occasionally after regular business hours. Travel may be required. The position operates in a professional office environment and the incumbent, in the course of performing this position, spends time writing, typing, speaking, listening, driving, seeing (such as close, color and peripheral vision, depth perception and adjusted focus), standing, sitting, walking, and reaching. The incumbent operates all standard office equipment, motor vehicles, and mobile phones. The work environment characteristics and physical demands described here are representative of those the incumbent can expect to encounter while performing the essential functions of this job.


WORKING ENVIRONMENT AND PHYSICAL DEMAND

This is a full-time position that may work standard business hours four to five days per week. Days and hours of work are expected to fluctuate significantly but at a minimum require work before, during, and after regular business hours. Presence in the office is required. The position operates in a professional office environment and will require significant time writing, typing, speaking, listening, driving, seeing (such as close, color and peripheral vision, depth perception and adjusted focus), standing, sitting, walking, and reaching. Operation of all standard office equipment, non-CDL motor vehicles, and mobile phones and related technology, is expected. The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job.



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