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Machine Learning Engineer Jobs in South Carolina

Daimler

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Designs and implements AI and machine learning solutions to improve manufacturing and business ... Collaborate with engineering and operations teams to integrate AI solutions into existing systems ...

Zeus Company, Inc.

AI Engineer

Orangeburg, SC · On-site

The AI Engineer will work closely with data scientists, data engineering, enterprise architecture ... Collaborate with data scientists and business stakeholders to operationalize machine learning and ...

Pwc

AI Solutions Engineering Delivery Lead

Spartanburg, SC · On-site

$100K - $131K/yr

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 ...

The Intersect Group

Cloud Data Engineer

Greenville, SC · On-site

$100K - $121K/yr

You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions ...

Pwc

CTIO AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

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 ...

United Airlines

AWS Generative AI Engineer

Columbia, SC · Hybrid

$60 - $78.75/hr

AWS Certified Machine Learning Engineer * AWS AI Practitioner * Experience with MLOps CICD and infrastructure as code tools Terraform CloudFormation * Familiarity with other LLM providers such as ...

Pwc

CTIO AI Engineering Manager

Spartanburg, SC · On-site

$73K - $244K/yr

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 ...

Pwc

NGA AI Engineer Manager

Columbia, SC · On-site

$73K - $244K/yr

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 ...

Pwc

NGA AI Engineer Manager

Spartanburg, SC · On-site

$73K - $244K/yr

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 ...

Pwc

US Tech - AI Engineering Senior Associate

Columbia, SC · On-site

$55K - $187K/yr

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 ...

Synectic Solutions Inc

$118K - $130K/yr

This role combines advanced data science, artificial intelligence, machine learning, and ... engineers, logisticians, and leadership. * Ensure all data management and analysis activities ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in South Carolina

Machine Learning Engineer information

See South Carolina salary details

$29.2K

$119.5K

$179.6K

How much do machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer in South Carolina is $119,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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.

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 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 South Carolina? The most popular types of Machine Learning Engineer jobs in South Carolina are:
What are popular job titles related to Machine Learning Engineer jobs in South Carolina? For Machine Learning Engineer jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in South Carolina look for? The top searched job categories for Machine Learning Engineer jobs in South Carolina are:
What cities in South Carolina are hiring for Machine Learning Engineer jobs? Cities in South Carolina with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in SC? For Machine Learning Engineer jobs in SC, the most frequently searched job titles are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in South Carolina as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $119,492 per year, or $57.4 per hour.

AI Engineer

Daimler

Ladson, SC • On-site

$111K - $134K/yr

Other

Retirement

Re-posted 24 days ago

Job description

Shape the future today.

The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title.

At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts.

Job Overview:

       Designs and implements AI and machine learning solutions to improve manufacturing and business processes.

       Works with cross-functional teams to integrate AI into production systems and decision-making.

       Supports full AI lifecycle from development to deployment and continuous improvement.

Responsibilities:

Develop and deploy machine learning models and AI applications using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex problems involving natural language processing, data mining, and unsupervised learning.

Conduct model training, validation, and deployment ensuring robustness and accuracy across various AI applications.

Utilize cloud services such as AWS for model deployment and scaling AI applications in production environments.

Analyze large datasets to identify trends and optimization opportunities.

Build and maintain data pipelines and AI systems.

Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other programming languages.

Define and track KPIs for AI solutions.

Financial Responsibilities:

Support budget tracking and ROI evaluation for AI projects.

Develop dashboards and visualizations using Looker or similar tools to communicate insights effectively to stakeholders.

Perform root cause analysis using AI techniques.

Ensure data governance and compliance.

Document models and provide training.

Manage AI-related projects and timelines.

Stay current with advancements in machine learning frameworks, natural language processing techniques, big data technologies like Hadoop and Spark, and emerging trends in AI.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field.

3-5 years of AI/ML or data engineering experience preferred.

Manufacturing or automotive experience preferred.

Knowledge & Skills: 

Machine learning frameworks (TensorFlow, PyTorch).

Programming in Python or similar.

Cloud platforms experience (Azure, AWS).

Data analysis and database knowledge.

Proven experience in AI development with a strong understanding of machine learning algorithms including supervised and unsupervised learning methods.

Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands-on experience in model training and deployment.

Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and database design principles.

Knowledge of natural language processing techniques and applications in real-world scenarios.

Strong analytical and problem-solving skills with the ability to interpret complex data sets effectively.

We are all in for change. Are you too? Apply now.

If you have experience in the above and are interested in joining an outstanding company we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products.

EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING

Mercedes-Benz Vans, LLC ("MBV Charleston") is a Ladson, South Carolina-based production entity that manufactures Sprinter vans for the U.S. and Canadian markets.

The Sprinter plant officially opened in 2018 and serves as a key part of the Mercedes-Benz Vans global production network. MBV Charleston was selected as the first plant in this network to produce the all-new eSprinter, beginning in 2024. The company also continues to invest in the local community through donations to non-profits and schools, as well as active support of STEM education initiatives and volunteer programs.

Since 2006, Sprinter and Metris vans have been assembled in North Charleston and delivered to destinations across the United States. In 2025, the plant celebrated the assembly of the 5,000,000th Sprinter in the Mercedes-Benz global production network. The U.S. remains the second largest market for Sprinter vans after Germany.

https://mbvcharleston.com/ 

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