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Machine Learning Engineer Opt Jobs in Charleston, SC

Controls Engineer

Charleston, SC ยท On-site

$78K - $101K/yr

Controls Engineer Charleston, South Carolina About Red Metals Red Metals is rethinking the domestic ... Experience applying machine learning or AI tools to process optimization * Startup or early-stage ...

ENGINEER MANUFACTURING 1

Goose Creek, SC ยท On-site

$66K - $85K/yr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

ENGINEER MANUFACTURING 1

Goose Creek, SC ยท On-site

$66K - $85K/yr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

ENGINEER MANUFACTURING 1

Goose Creek, SC ยท On-site

$66K - $85K/yr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

MECH TECH H 3 (MACHINIST)

Goose Creek, SC ยท On-site

$19.75 - $27/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

SDLC Engineer - AI Trainer

Charleston, SC ยท Remote

$50 - $100/hr

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 ...

MECH TECH H 3 (MACHINIST)

Goose Creek, SC

$19.75 - $27/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

MECH TECH H 3 (MACHINIST)

Goose Creek, SC ยท On-site

$19.75 - $27/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

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Showing results 1-20

Machine Learning Engineer Opt information

See Charleston, SC salary details

$29.5K

$120.5K

$181.1K

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

As of Jul 13, 2026, the average yearly pay for machine learning engineer opt in Charleston, SC is $120,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $145,100.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Charleston, SC? For Machine Learning Engineer Opt jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Charleston, SC look for? The top searched job categories for Machine Learning Engineer Opt jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Machine Learning Engineer Opt jobs? Cities near Charleston, SC with the most Machine Learning Engineer Opt job openings:
Test Automation Engineer (Remote Opportunity)

Test Automation Engineer (Remote Opportunity)

VetsEZ

Charleston, SC โ€ข Remote

$43 - $56.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

VetsEZ is seeking a Mid-Level QA / Automation Engineer to support the testing, validation, and quality assurance of web-based applications within the Department of Veterans Affairs (VA) environment. This role is responsible for planning, executing, and maintaining both manual and automated test efforts to ensure high-quality, reliable software delivery. The ideal candidate brings strong experience in test automation frameworks, a meticulous attention to detail, and demonstrated ability to leverage AI tools and techniques to enhance testing efficiency, coverage, and accuracy.

The candidate must reside within the continental US.

Responsibilities:

  • Plan, design, and execute comprehensive test strategies for web-based applications
  • Perform functional, regression, integration, and end-to-end testing across multiple environments
  • Develop, maintain, and execute automated test scripts using industry-standard frameworks (Playwright preferred, Selenium acceptable)
  • Validate application behavior against functional and technical requirements
  • Identify, document, and track defects using Jira (XRay preferred)
  • Collaborate with developers, product owners, and cross-functional teams to ensure quality throughout the development lifecycle
  • Maintain detailed and structured test cases, ensuring traceability and consistency across releases
  • Contribute to test documentation and knowledge sharing using Confluence
  • Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives
  • Support CI/CD pipelines by integrating automated testing into build and deployment workflows

AI-Enabled Testing Responsibilities:

  • Leverage AI-assisted tools (e.g., test generation, defect prediction, code analysis) to improve test efficiency and coverage
  • Utilize AI-driven approaches for test case generation, prioritization, and maintenance
  • Apply machine learning-based validation techniques where appropriate (e.g., anomaly detection, pattern recognition in test results)
  • Use AI tools to accelerate root cause analysis and defect triage
  • Enhance automated testing frameworks with AI capabilities to reduce manual effort and improve reliability
  • Apply prompt engineering and structured AI usage to generate test scenarios, documentation, and validation strategies
  • Ensure responsible and secure use of AI tools in accordance with enterprise and federal guidelines

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 5+ years of experience in software testing and test automation
  • Strong experience with browser automation tools:
  • Playwright (preferred)
  • Selenium (acceptable)
  • Experience performing functional, regression, and integration testing
  • Hands-on experience with Jira and Confluence (XRay strongly preferred)
  • Demonstrated experience maintaining structured test cases and test suites
  • Strong attention to detail and commitment to quality
  • Experience working in Agile development environments
  • U.S. citizenship and ability to obtain and maintain a Public Trust clearance

Additional Qualifications:

  • Experience with AI-driven testing tools and frameworks
  • Familiarity with machine learning-based validation or intelligent test automation techniques
  • Experience integrating automated testing into CI/CD pipelines
  • Experience testing cloud-based applications (Azure preferred)
  • Exposure to API testing tools and frameworks
  • Familiarity with DevSecOps practices
  • Experience supporting federal or healthcare IT systems (VA experience a plus)

Technical Environment:

  • Playwright / Selenium
  • Jira / Confluence (XRay preferred)
  • Web application testing (UI, API, integration)
  • CI/CD pipelines
  • Azure (preferred)

Benefits:

  • Medical, Dental, and Vision insurance
  • 401(k) with Employer Match
  • PTO and Federal Holidays
  • Corporate-provided Laptop
  • Training and Professional Development Opportunities
  • Fully Remote Role

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

Equal Opportunity Disclaimer:
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME