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Senior Machine Learning Engineer Jobs in Warren, AR

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Senior Machine Learning Engineer information

See Warren, AR salary details

$52.6K

$112K

$162.3K

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

As of Jul 2, 2026, the average yearly pay for senior machine learning engineer in Warren, AR is $111,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Warren, AR are hiring for Senior Machine Learning Engineer jobs? Cities near Warren, AR with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Warren, AR as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,969 per year, or $53.8 per hour.

$14.50 - $17.75/hr

Full-time

Posted 10 days ago


Job description

Company OverviewAt General Dynamics Ordnance and Tactical Systems, our employees are the heart of our company. We invite you to apply to join our team of employees who are dedicated to excellence that meet the needs of the warfighters and our customers around the world, day in and day out.Job SummarySets up and operates automatic or semi-automatic machines and related equipment in a continuous production/processing operation | Monitors meters, gauges, valves, flow ratios, temperatures, pressures, and related controls and guidelines to ensure adherence to production/process specifications | Reports any malfunctions or abnormalities and makes minor adjustments and repairs to equipment | Performs all work in accordance with established safety proceduresImpact of the RoleGeneral Profile
  • Requires proficiency through job-related training and considerable on-the-job experience
  • May acts as an informal resource for colleagues with less experience
  • Completes work with a limited degree of supervision and regularly provides guidance to others
  • Performs manual tasks according to established procedures
Essential Functions
  • Operates, tests, and monitors assigned equipment according to established guidelines for an organization.
  • Observes and conducts operation of equipment and documents maintenance needs.
  • Troubleshoots control panels, error lights, and messages to ensure proper equipment function.
  • May communicate with equipment technicians relating to highly complex issues.
  • Verifies equipment data for reporting.
  • Supports and assists with the installation of operating equipment.
  • Controls and adjusts machine settings to complete more complex tasks.
  • May assist with training other machine operators.
  • May calculate and assist with numeric controlled programming.
    • Required Qualifications
      • Required education and experience: High School Diploma/GED required and 3-5 years' experience OR Equivalent Combination of Relevant Education &/or Experience
      Preferred Qualifications
      • Preferred education and experience: Vocational/Technical Training Degree
      • Knowledge, skills & abilities: Written communication skills. Ability to gather and document information. Ability to lift/move heavy objects. Mechanical knowledge. Safety knowledge.
      Physical Requirements
      • Requires regular movement throughout GD-OTS facilities.
      • Must be able to lift up to 45 pounds.
      • May need to stand for long periods of time.
      • Work may require employee to work inside and outside with exposure to changing climate and/or operate machinery.
      • May be requested to work a different shift.
      • Must be willing to work outside normal business hours as required.
      • This position is Safety-Sensitive.
      Travel RequirementsNo or very little travel likely. _____________________________The above statements describe the general nature and level of work only. The statements do not represent an exhaustive list of required responsibilities and skills. Other duties may be added or this job description may be amended at any time. This job description does not alter an employee's at-will employment status or create an employment agreement or contract, implied or otherwise.
Employment Type: FULL_TIME