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Senior Machine Learning Engineer Jobs in Camden, AR

Lockheed Martin

Manufacturing Engineer Senior

Camden, AR · Hybrid

$77K - $105K/yr

You will be the Manufacturing Engineer Senior for the Camden team. Our team is responsible for ... of machine / tool mechanical design • Knowledgeable of general manufacturing / integration ...

Lockheed Martin

Manufacturing Engineer Senior

Camden, AR · On-site

$77K - $105K/yr

You will be the Manufacturing Engineer Senior for the Camden team. Our team is responsible for ... of machine / tool mechanical design • Knowledgeable of general manufacturing / integration ...

Lockheed Martin

Manufacturing Engineer Senior

Camden, AR · On-site

$77K - $105K/yr

You will be a Senior Manufacturing Engineer on Third Shift for our PAC-3 program. Our team is ... machine / tool mechanical design. • Knowledgeable of general manufacturing / integration ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Camden, AR

Senior Machine Learning Engineer information

See Camden, AR salary details

$50.5K

$107.3K

$155.6K

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

As of Jul 26, 2026, the average yearly pay for senior machine learning engineer in Camden, AR is $107,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $121,700.00 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 Camden, AR are hiring for Senior Machine Learning Engineer jobs? Cities near Camden, AR with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Camden, AR as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,327 per year, or $51.6 per hour.

Senior Specialist, Manufacturing Engineering (AI/ML)

L3HHCM20

Camden, AR

$77K - $105K/yr

Other

Posted 7 days ago

Job description

Job Title: Senior Specialist, Manufacturing Engineering (AI/ML)

Job Code: 39725

Job Location: Camden, Arkansas

Job Schedule: 4/10: Employees work 10 hours a day, 4 days a week.

Job Description:

We are seeking an experienced Senior Specialist, Manufacturing Engineer with specialized expertise in artificial intelligence tool development, training, and implementation to join our digital transformation team. This senior-level position requires a professional who can bridge traditional manufacturing engineering excellence with cutting-edge AI capabilities, particularly within Palantir Foundry and advanced analytics platforms. The candidate will be responsible for developing, deploying, and training others on AI-driven solutions that optimize manufacturing processes, enhance decision-making, and drive measurable ROI across multiple programs and departments.

As a Level 4 Manufacturing Engineer, you will develop and implement manufacturing engineering plans and projects of strategic importance, define and transfer advanced AI/ML tools and strategies, and serve as a subject matter expert in digital transformation initiatives. This role requires minimal oversight and demands the ability to influence organizational direction through innovative AI applications integrated with Statistical Process Control (SPC), MES, ERP systems, and advanced analytics platforms.

Essential Functions:

  • Expert-level proficiency in developing and implementing advanced Statistical Process Control (SPC) methodologies enhanced with AI-driven anomaly detection and predictive analytics across multiple programs and departments
  • Develops, deploys, and trains others on artificial intelligence and machine learning tools using Palantir Foundry, Python, and advanced analytics platforms to solve complex manufacturing challenges, predict process variations, and optimize production efficiency
  • Monitors and analyzes current manufacturing processes using AI-enhanced PowerBI Dashboards, PowerApps, and advanced analytics to capture variations, identify trends, predict quality outcomes, and proactively recommend improvements before issues occur
  • Develops and coordinates implementation of new manufacturing strategies for specific products and processes that leverage AI capabilities, digital twin technology, and advanced data analytics with program engineers and cross-functional teams
  • Capable of representing the organization as a senior technical expert and subject matter authority, interacting with program teams, executive leadership, and external stakeholders on AI/digital transformation initiatives and advanced manufacturing technologies
  • Manages large, complex, cross-functional project initiatives of strategic importance to the organization involving AI implementation, digital transformation, and advanced manufacturing technologies with minimal oversight or direction
  • Provides expert guidance, coaching, and formal training to engineers and cross-functional teams across the Company on AI tool development, Palantir Foundry, advanced analytics methodologies, and digital manufacturing best practices
  • Integrates AI solutions with Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) platforms to create seamless data flow, intelligent decision support systems, and real-time process optimization across manufacturing operations
  • Estimates and tracks manufacturing costs using AI-driven cost modeling and predictive analytics, determines time standards through data-driven analysis, and makes strategic recommendations for tooling and process requirements of new or existing product lines

Qualifications:

  • Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Data Science, or related technical field AND a minimum of 6 years of progressive manufacturing engineering experience with demonstrated AI/ML application OR Graduate Degree (Master's or PhD preferred in Engineering, Data Science, AI/ML, or related field) with a minimum of 4 years of related experience OR In lieu of a degree, minimum of 10 years of progressive manufacturing engineering experience with demonstrated expertise in AI/ML tool development and implementation.

Preferred Additional Skills:

  • Experience in advanced statistical software and tools (e.g., PowerBI, PowerApps, Minitab, JMP, Induction Automation or similar).
  • Experience with cloud-based AI platforms (Azure ML, AWS SageMaker, Google Cloud AI) and their integration with manufacturing systems.
  • Knowledge and application of continuous improvement philosophy, methodology, and tools.
  • Experience with Industrial IoT platforms and data historians (Ignition SCADA, OSIsoft PI, or similar) for real-time data acquisition.
  • Strong organizational and time management skills to successfully engage in multiple programs simultaneously over an extended period of time.
  • Experience working with MS Office - (Word, Excel, PowerPoint, Project)
  • Microsoft Power Tools Experience, such as but not limited to PowerBI, PowerApps, Microsoft Lists, Power Automate etc.
  • Ability to read and interpret complex engineering drawings with proper application of geometric dimensioning and tolerancing (GD&T).
  • Familiarity with Titan Enterprise systems and Palantir for Data extraction.
  • Familiarity with Manufacturing Execution Systems, MRP systems, and PLM systems.

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