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Machine Learning Engineer Opt Jobs in Charleston, SC

SynergisticIT

Machine Learning Engineer

Charleston, SC · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required * Passionate about search and AI technologies.

Indeed

Machine Learning Engineer III

Charleston, SC · On-site

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Varsity Tutors

Machine Learning Tutor

Mount Pleasant, SC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Charleston, SC · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SynergisticIT

Junior DevOps Engineer

North Charleston, SC · On-site

$50.25 - $69/hr

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

Navstar

AI Ops - Data Engineer III

Charleston, SC · On-site

$300K/yr

Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics. * Strong, hands-on programming skills in Python, Go (Golang), Rust, Pandas, R, SQL, or related ...

SynergisticIT

Entry Level Data Scientist

Charleston, SC · On-site

Machine Learning engineers for full time positions with clients. Who should apply? Recent Computer science/Engineering/Mathematics/Statistics or Science graduates or people looking to switch careers ...

Nucor

NSBC - Level II Automation Engineer

Huger, SC · On-site

Responsible for engineering, developing, optimizing, and maintaining Level 2 computer automation ... Apply machine learning, artificial intelligence, and statistics in manufacturing for strategic ...

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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 Jun 5, 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 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 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 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:
Machine Learning Engineer Opt jobs near you
Machine Learning Engineer III

Machine Learning Engineer III

The Marlin Alliance

Charleston, SC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer III

The Marlin Alliance, Inc. | San Diego, CA | Hybrid | Clearance Required

Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients.

Position Overview

The Machine Learning Engineer III designs and implements sophisticated models and algorithms tailored for naval applications, leveraging expertise in modern machine learning methods and cloud-native development. This technical lead oversees the full lifecycle of AI solutions, from initial architectural design to deployment within distributed systems and operational Navy environments. By collaborating across multidisciplinary teams and applying rigorous software engineering standards, the role ensures the delivery of scalable, mission-critical intelligence that meets complex maritime requirements.

Location:

San Diego, CA

On site NAVWAR

There will be some (15%) travel required to Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or other customer locations as needed.

Citizenship and Clearance Requirements:

US Citizenship is required

No Dual Citizenship

Active Secret clearance required; TS SCI clearance highly preferred

Responsibilities:
  • Design, develop, and implement machine learning models and algorithms for naval applications.
  • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
  • Perform data preprocessing, feature engineering, model evaluation, and validation.
  • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
  • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
  • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
  • Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
  • Apply cybersecurity principles in the design and deployment of machine learning systems.
  • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
  • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
Required Skills and Experience:
  • 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
  • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
  • Strong programming skills in Python.
  • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with software engineering best practices, including Git.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong programming skills in Java, C++, Go, or Rust.
  • Experience with distributed computing and parallel processing.
  • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively in a collaborative team environment.
  • Previous experience supporting government agencies or military organizations.
  • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders (stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
  • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
  • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
  • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
Preferred Skills and Experience:
  • Experience with cloud-native architecture and software API design.
  • Experience integrating machine learning into operational DoD systems or edge computing environments.
  • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
  • Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.
Education and Certification Requirements:
  • Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics.
  • Advanced degrees (MS/PhD) in related fields are preferred but not required.
  • Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.
Work Environment and Mental/Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

  • Typical office environment with no unusual hazards.
  • The noise level in the work environment is usually moderate.
  • Constant sitting while using the computer terminal.
  • Constant use of sight abilities while reviewing documents.
  • Constant use of speech/hearing abilities for communication.
  • Occasional reaching, stooping, kneeling, or crouching may be required.
  • Occasional lifting up to 20 pounds.
  • Constant use of mental alertness.
  • Frequent work under deadlines.
Compensation

$140,000 – $195,000 annually, commensurate with experience.

Work Environment

Typical professional office environment. Requires sustained focus, extended periods at a computer workstation, and occasional lifting up to 20 lbs. Reasonable accommodations will be made for individuals with disabilities.

An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

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