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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 Sep 4, 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 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 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 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.

$90K - $119K/yr

Full-time

Medical, Life, Retirement

Re-posted 26 days ago


General Dynamics Ordnance and Tactical Systems rating

7.4

Company rating: 7.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

General Dynamics Ordnance and Tactical Systems (OTS) is a global leader in the design, engineering and production of munitions, energetics, weapons, armaments, and missile subsystems around the world. OTS empowers the U.S. military and its allies with an extensive range of overarching product segments applied across all levels of strategic and tactical operations, providing a cutting-edge advantage to our warfighters. Our Ethos of Honesty, Trust, Transparency, and Alignment, are the guiding principles that form the foundation of everything we do. Integrity is paramount, innovation fuels our passion, customer satisfaction is at the core of our mission, and collaboration is key to our success - fostering a culture of teamwork and mutual respect among employees, partners, and stakeholders. Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits that include career development and recognition programs. If who we are and what we do resonates with you, we invite you to join our high-performance team!


Develops, designs, builds and tests robotic platforms from prototype through product commercialization. Creates an integrated autonomous interface, mobility, communication, and human-robot interaction. Works with cross-functional teams to understand opportunities for robotic applications. Extensive background and hands on experience in programmable logic and automated design.
General Profile
  • Recognized as an expert within the company and requires in-depth and/or breadth of expertise in own job discipline and broad knowledge of other job disciplines within the organization function
  • Solves unique problems that have a broad impact on the business
  • Contributes to the development of organization functional strategy
  • Progression to this level is typically restricted on the basis of business requirements
  • Consistent exercise of discretion & judgment

  • Uses engineering techniques to design, develop, test, and manage automated machinery processes.
  • Designs and implements programs that simulate, optimize, and test automated machinery that streamline manufacturing processes.
  • Uses advanced design techniques to build automated systems such as: measurement functions, control functions, and actuators, etc.
  • Configures systems using PLC and HMI techniques.
  • Considers automation workflow, production layout, and safety measures when designing automated machinery processes.
  • Audits current equipment and automated processes to determine failure rates.
  • Models, tests, and measures output and data to analyze performance or quality issues
  • Develops and leads solutions to resolve production problems, maximize product reliability, and minimize cost.
  • Drafts and designs detailed technical documentation for design specifications and additional relevant documents.
  • Adheres to international and local regulatory standards while driving continuous improvement for design, process, and safety considerations.

  • Required education and experience: Associate's Degree and 10-12 years' experience
  • Discipline/Major: Engineering degree required
  • Critical professional related technical skills; computer skills: Proficient in Microsoft Office (Excel, Word, PowerPoint)

  • Preferred education and experience: Bachelor's Degree
  • Knowledge, skills & abilities:
    • Extensive background and hands on experience in programmable logic and automated design.
    • Technical expertise. Problem-solving skills. Oral and written communication skills. Critical thinking. Analytical thinking. Instrument control. Performance analysis. Power management. Process optimization. Reliability analysis. Schematic capture. Statistical process control. Technical troubleshooting. Control systems. Device integration. SCADA architecture. Programmable Logic Control (PLC). Human Machine Interface (HMI). Computer-Aided Engineering (CAE) software.

  • Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
  • Requires regular movement throughout GD-OTS facilities.
  • Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Up to 25% 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.


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