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Machine Learning Engineer 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 · 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 ...

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Machine Learning Engineer information

See Charleston, SC salary details

$29.5K

$120.5K

$181.1K

How much do machine learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer 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 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Charleston, SC? The most popular types of Machine Learning Engineer jobs in Charleston, SC are:
What are popular job titles related to Machine Learning Engineer jobs in Charleston, SC? For Machine Learning Engineer jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Charleston, SC look for? The top searched job categories for Machine Learning Engineer jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Machine Learning Engineer jobs? Cities near Charleston, SC with the most Machine Learning Engineer job openings:
ENGINEER MANUFACTURING 1-Goose Creek,South Carolina

ENGINEER MANUFACTURING 1-Goose Creek,South Carolina

HII

Ravenel, SC • On-site

$73K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

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.

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