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Machine Learning Engineer Jobs in Columbia, SC (NOW HIRING)

TSMG

AI/ML Data Contributor

Columbia, SC · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Pwc

Payer Healthcare Data Scientist, Manager

Columbia, SC · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

The Nuclear Company

Cost Control Specialist

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to enhance predictive cost analysis, identify anomalies in ...

Pwc

Managed Services - Data, Analytics & AI - Manager

Columbia, SC · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Oversee the thorough delivery of AI and machine learning projects - Inspire and ... and engineers for compliance - Driving development of reusable AI components - Leading Data ...

The Nuclear Company

Cost Control Specialist

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to enhance predictive cost analysis, identify anomalies in ...

Varsity Tutors

Linear Algebra Tutor

Columbia, SC · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Mechanical Engineering Tutor

Columbia, SC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Phase2 Technology

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

... programming languages for data analysis * 5+ years of experience analyzing structured and ... Experience with natural language processing, text mining, or machine learning techniques * Secret ...

Booz Allen Hamilton, Inc.

Data Scientist

Shaw Air Force Base, SC · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with statistical and general-purpose programming languages for data analysis, including ... Experience with natural language processing, text mining, or machine learning techniques * Secret ...

Becton Dickinson & Company

Senior Process Engineer

Sumter, SC · On-site

$91K - $118K/yr

Responsible for the design and implementation of machine improvements and capital equipment project ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Columbia, SC

Machine Learning Engineer information

See Columbia, SC salary details

$29.1K

$119.1K

$179K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Columbia, SC is $119,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $143,400.00 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 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 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 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 Columbia, SC?

The most popular types of Machine Learning Engineer jobs in Columbia, SC are:

What job categories do people searching Machine Learning Engineer jobs in Columbia, SC look for?

The top searched job categories for Machine Learning Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Machine Learning Engineer jobs?

Cities near Columbia, SC with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,129 per year, or $57.3 per hour.

AI/ML Data Contributor

TSMG

Columbia, SC • On-site

Full-time

Re-posted 23 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.