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Machine Learning Engineer Jobs in Moncks Corner, SC

Red Metals, Inc

Controls Engineer

Charleston, SC · 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 ...

HII

ENGINEER MANUFACTURING 4

Goose Creek, SC · 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

ENGINEER MANUFACTURING 4

Goose Creek, SC · 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

ENGINEER MANUFACTURING 4

Goose Creek, SC

$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

ENGINEER MECHANICAL 2

Goose Creek, SC · On-site

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

HII

ENGINEER MECHANICAL 2

Goose Creek, SC

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

HII

ENGINEER MECHANICAL 2

Goose Creek, SC

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

DataAnnotation

SDLC Engineer - AI Trainer

Charleston, SC · 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 ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Moncks Corner, SC

Machine Learning Engineer information

See Moncks Corner, SC salary details

$27.7K

$113.1K

$169.9K

How much do machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning engineer in Moncks Corner, SC is $113,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $136,100.00 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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Moncks Corner, SC? The most popular types of Machine Learning Engineer jobs in Moncks Corner, SC are:
What cities near Moncks Corner, SC are hiring for Machine Learning Engineer jobs? Cities near Moncks Corner, SC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Moncks Corner, SC as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $113,066 per year, or $54.4 per hour.
Test Automation Engineer (Remote Opportunity)

Test Automation Engineer (Remote Opportunity)

VetsEZ

Charleston, SC • Remote

$43 - $56.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 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

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