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Artificial Intelligence Machine Learning Engineer Jobs in Elgin, SC

Post Doctoral

Columbia, SC · On-site

$45K - $61K/yr

... artificial intelligence. The position will support startup-funded research in the Jiang Group ... The Post Doctoral Associate will design and execute simulation and machine-learning studies ...

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

... machine learning approaches) and translating that into actionable, mission-level information for ... Experience with the application of artificial intelligence to intelligent control and decision ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Civil Engineering Project Manager

Columbia, SC · On-site

$78K - $105K/yr

Professional Engineer (PE) License in South Carolina * Minimum of 2 years of experience with direct ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Civil Engineering Project Manager

Columbia, SC · On-site

$78K - $105K/yr

Professional Engineer (PE) License in South Carolina * Minimum of 2 years of experience with direct ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Professional Engineer (PE) License in South Carolina * Minimum of 2 years of experience with direct ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Elgin, SC salary details

$28.2K

$115.2K

$173.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for artificial intelligence machine learning engineer in Elgin, SC is $115,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $138,600.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Elgin, SC are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Elgin, SC with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Elgin, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $115,172 per year, or $55.4 per hour.

$45K - $61K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


State Of South Carolina rating

7.7

Company rating: 7.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

24th of 50 rated states


Job description

Salary: See Position Description
Location : Richland County, SC
Job Type: FTE - Full-Time
Job Number: 7329304
Agency: University of South Carolina
Opening Date: 07/20/2026
Closing Date: 8/15/2026 11:59 PM Eastern
Class Code:: UK63
Position Number:: 7329304
Normal Work Schedule:: Monday - Friday (8:30 - 5:00)
Pay Grade: Unclassified
EEO Statement: Equal Opportunity Employer
Agency Specific Application Procedures:: Your application must be submitted online at https://apptrkr.com/7329304. Google Chrome must be used as the preferred internet browser to enter the applicant portal. QuickLink (Place in Browser): https://apptrkr.com/7329304
Veteran Preference Statement: South Carolina is making our Veterans a priority for employment in state agencies and institutions.
Job Responsibilities
Post Doctoral
Department: CEC Chemical Engineering
Part/Full Time: Full Time
Advertised Salary Range:
About UofSC
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.
Advertised Job Summary
The Postdoctoral Associate will conduct research on the computational design of soft materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and circular-economy applications. The Post Doctoral Associate will design and execute simulation and machine-learning studies, analyze results, disseminate findings through publications and presentations, mentor junior researchers, and support proposal development.
Required Education and Experience
Preferred Qualifications
• Doctoral (Ph.D.) degree in Chemical Engineering, Materials Science, Computational Chemistry, Chemical Physics, or a closely related field.
• Experience with molecular simulation, machine learning, or related computational methods for molecular or materials systems.
• Background in polymer science, soft materials, complex fluids, or related areas.
• Proficiency in scientific programming with Python and/or C++. Strong written and verbal communication skills.
Knowledge/Skills/Abilities
• Knowledge of computational methods for molecular and materials research.
• Ability to design, execute, and analyze computational studies independently.
• Proficiency in scientific programming and effective written and verbal communication.
Job Close Date
08/15/2026
Special Instructions to Applicant
Applicants must upload a copy of their C.V/resume' and provide details in the work employment history section.
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by August 15, 2026.
To apply, please visit:
EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.
Copyright ©2025 Inc. All rights reserved.
Benefits for State Employees
The state of South Carolina offers eligible employees generous benefits, including health and dental insurance; retirement and savings plan options; and paid vacation and sick leave. Plus, work-life balance programs such as telecommuting and flexible work schedules are available to employees of some state agencies.
Insurance Benefits
Eligible employees may enroll in health insurance, which includes prescription coverage and wellness benefits. Other available insurance benefits include dental, vision, term life insurance, long term disability and flexible spending accounts for health and child care expenses.
Retirement Benefits
State employees are also offered retirement plan options, including defined benefit and defined contribution plans. Additionally, eligible employees may elect to participate in the South Carolina Deferred Compensation Program, which is a voluntary, supplemental retirement savings plan offering 401(k) and 457 plan options.
Workplace Benefits
State employees may also be eligible for other benefits, including tuition assistance; holiday, annual and sick leave; and discounts on purchases, travel and more.
Note: The benefits above are available to most state employees, with the exception of those in temporary positions. Employees in temporary grant and time-limited positions may be eligible for all, some or none of these benefits as benefits are associated with each position type. For these positions, contact the hiring agency to determine what benefits may be available.

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About State of South Carolina

Sourced by ZipRecruiter

State of South Carolina is not a typical corporation, but the governing body of the US state of South Carolina, located in the capital city of Columbia. Its industry focuses on public administration, providing key essential services to ensure the efficient functioning of the state. These services range from public safety and environment protection to education, healthcare, and economic development. The state was founded in 1788, grounded in democratic principles meant to support the overall well-being of its citizenry. Its core values revolve around service, integrity, accountability, and transparency. The mission of the State of South Carolina is to improve the quality of life for all its people, with a focus on education advancement, economic growth, and improved healthcare.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Columbia, SC, US

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