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

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

About the role The Systems Engineering role requires passion and drive to work towards enabling ... machine learning approaches) and translating that into actionable, mission-level information for ...

Data Science Tutor

Columbia, SC ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Columbia, SC ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Data Scientist

Sumter, SC ยท On-site

$99 - $225/hr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... programming languages for data analysis 5+ years of experience analyzing structured and ...

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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.

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:

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.

Cost Estimator

The Nuclear Company

Columbia, SC โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

The Nuclear Company is the fastest growing AI tech-enabled startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.
We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.
We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values-Transparency, Responsibility, Unity, Scrappiness, and Tenacity-guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. TRUST is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.
About the role
The Estimator is a key participant in project development and the successful capture of business for TNC. The successful candidate will be familiar with the Association for the Advancement of Cost Engineering (AACE) and their recommended practices related to the development of cost estimates. The estimator will interface with several stakeholders, both inside and outside of TNC, to develop reliable cost estimates with the appropriate pedigree aligned with international standards.
Responsibilities
  • Estimate Development: Given a scope of work, the estimator will work with key stakeholders to develop an estimate aligned with the requisite AACE classifications appropriate for the phase of the project
  • Create a Basis of Estimate: In support of the estimate, the BOE shall provide enough information a reasonable individual can reach the same outcome
  • Cross-Functional Collaboration & Stakeholder Alignment: Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and project controls teams to collect inputs to support estimate development
  • Risk and Assumption Identification: Based on inputs, the estimator will identify key risks and assumptions associated with each element of the estimate. The estimator will work with risk personnel to ensure quantitative analysis is performed based on this information and included in the basis of estimate
  • Estimating Software & Database Management: Utilize industry-standard estimating platforms (e.g., HCSS HeavyBid, InEight Estimate, Sage Estimating, or CostOS) to develop, organize, and maintain detailed cost estimates with traceable line items, historical benchmarking, and parametric modeling capabilities
  • AI-Enhanced Cost Modeling: Leverage AI and machine learning tools to analyze historical project data, identify cost drivers, improve estimate accuracy, and perform automated benchmarking against comparable projects across the fleet
  • Proficiency with estimating software and cost databases (e.g.,InEight, CostOS, RSMeans, or equivalent) for developing and maintaining structured, auditable cost estimates
  • Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball)

Experience
  • Bachelor's degree or equivalent work experience
  • 15+ years of experience in project controls
  • 5+ years of experience as an estimator on large project
  • Strong understanding of project lifecycle and work breakdown structures
  • Exceptional attention to detail and ability to manage multiple priorities in a dynamic environment
  • Proficiency with estimating software and cost databases for developing and maintaining structured, auditable cost estimates
  • Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball)
  • Excellent communication and collaboration skills
  • Exceptional analytical skills

Preferred Experience:
  • Experience in the nuclear energy, power generation, or highly regulated industry
  • Familiarity with earned value management, risk analysis, and cost-schedule integration
  • PMP or PMI-SP certification a plus
  • Experience working in a startup or high-growth environment

Benefits
  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary RangeThe estimated starting salary range for this role is $150,000 - $173,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.
EEO StatementThe Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.
Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
Recruiting Fraud Alert
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.