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Artificial Intelligence Machine Learning Engineer Jobs in Elgin, SC

Cost Estimator

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

US Tech - AI Engineering Manager

Columbia, SC

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

... Artificial Intelligence (AI) solutions. * Support the development and execution of AI strategies ... Background in a variety of programming languages and programming principles . * Familiarity with ...

Robotics Tutor

Columbia, SC · Remote

$18 - $40/hr

... engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Showing results 41-60

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.

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 Range
The 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 Statement
The 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.