1

Machine Learning Engineer Opt Jobs in Charleston, SC

MECH TECH H 1 (MACHINIST)

Goose Creek, SC · 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 ...

MECH TECH H 1 (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 1 (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 ...

next page

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:
ENGINEER MANUFACTURING 1-Goose Creek,South Carolina

ENGINEER MANUFACTURING 1-Goose Creek,South Carolina

HII

Ravenel, SC

$73K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

228th of 527 rated manufacturers


Job description

ENGINEER MANUFACTURING 1
Location:
Goose Creek, South Carolina, United States
Date: Jul 1, 2026
Req ID: 47642
Team: C400 SITE ENGINEERING
Entity: Newport News Shipbuilding
US Citizenship Required for this Position: Yes
Full-Time
Shift: 1st
Relocation: No relocation assistance available
Virtual/Telework Opportunity: No - Not eligible for telework
Travel Requirements: No
Clearance Required: No - Clearance Not Required to Start
Salary Range: to
The anticipated salary range represents the estimated base pay for this role. Final compensation will be determined based on experience, qualifications, and other job-related factors, and may vary from the posted range
Meet HII's Newport News Shipbuilding
With more than 25,000 employees - including third-, fourth- and even fifth-generation shipbuilders - HII's Newport News Shipbuilding (NNS) division is the largest industrial employer in Virginia. We're the sole designer, builder and refueler of U.S. Navy nuclear aircraft carriers and one of two providers of U.S. Navy nuclear submarines. Our diverse and innovative team of professionals ranges from skilled trades to project managers, engineers and software developers to solution architects, technical subject matter experts, and system users. We collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team? Apply today! We look forward to meeting you.
The Role
Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations.
Must Have
Bachelor's Degree and 0 years of relevant exempt experience.
Newport News Shipbuilding requires a Bachelor's Degree in engineering from an ABET accredited program.
Nice to Have
Why HII
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.
Working at HII is more than a job - it's an opportunity to build a future. We offer comprehensive benefits including: medical, prescription drug, dental and vision plan choices, on-site health centers, tele-medicine, wellness resources, employee assistance programs, savings plan options (401K), financial education and planning tools, life insurance, tuition reimbursement, employee discounts, early childhood and post-secondary education scholarships, and more. Some benefits may vary depending on your specific division or work location.
Together we are working to ensure a future where everyone can be free and thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. U.S. Citizenship may be required for certain positions.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Additionally, you may also call 1-844-849-8463 for assistance. Press #2 for Newport News Shipbuilding.

What Huntington Ingalls Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom