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

Vertiv Co

Presales Electrical Engineer

Pelzer, SC

... AI, machine learning, and advanced data analytics to support next-level solutions. You'll ... Bachelor's or equivalent degree in Electrical Engineering * Proficient in Electrical power system ...

Varsity Tutors

Python Tutor

Greenville, SC · 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 ...

ASC Engineered Solutions

MES Manager

Liberty, SC · On-site

Programming experience (e.g., JavaScript, C++, or similar) * Exposure to machine learning, AI, or predictive maintenance applications * Experience in highly automated manufacturing environments

First Quality Retail Services

Controls Engineer

Anderson, SC · On-site

$76K - $98K/yr

At First Quality, you'll find a collaborative environment focused on continuous learning ... Develop Safety Procedures for installed machines - Lock-Out /Tag-Out for operations and maintenance ...

Varsity Tutors

Linear Algebra Tutor

Greenville, 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:

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Showing results 1-20

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

Machine Learning Engineer information

See Clemson, SC salary details

$26.7K

$109.1K

$164K

How much do machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning engineer in Clemson, SC is $109,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $131,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 Clemson, SC? The most popular types of Machine Learning Engineer jobs in Clemson, SC are:
What are popular job titles related to Machine Learning Engineer jobs in Clemson, SC? For Machine Learning Engineer jobs in Clemson, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Clemson, SC look for? The top searched job categories for Machine Learning Engineer jobs in Clemson, SC are:
What cities near Clemson, SC are hiring for Machine Learning Engineer jobs? Cities near Clemson, SC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Clemson, SC as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,105 per year, or $52.5 per hour.
Presales Structural Engineer

Presales Structural Engineer

Vertiv Group Corp.

Pelzer, SC • On-site

Full-time

Re-posted 10 days ago

Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

317th of 427 rated machine equipment manufacturers

Job description


POSITION OVERVIEW
Join Vertiv as a Presales Structural Engineer in our Infrastructure Solutions team and play a key role in shaping the future of cutting-edge modular solutions for data centers, industrial facilities, and critical infrastructure at scale. This is your opportunity to lead the way in developing innovative, sustainable, and functional structural designs that support the rapidly evolving needs of AI-driven technologies and next-generation data center environments.
At Vertiv, you'll work alongside a multidisciplinary team of engineering experts, leveraging and supporting emerging technologies such as AI, machine learning, and advanced data analytics to support next-level solutions. You'll contribute to groundbreaking projects that are transforming the way the world builds and deploy high-performance infrastructure for leading global IT and tech companies.
Help us define the future of scalable, resilient, and efficient infrastructure to meet the demands of tomorrow's connected world.
RESPONSIBILITIES
Designing Modular Steel Structures:
Support the development of structural design for low- to medium-complexity modular steel buildings. Prepare structural 3D models, perform static and dynamic calculations, and generate technical documentation such as workshop drawings, lifting and anchoring layouts, and specifications.
Ensuring Compliance and Best Practices:
Apply international, national, and internal standards, ensuring that all designs are safe, compliant, and cost-effective. Integrate good engineering practices into every stage of the design process.
Collaborating Across Teams:
Actively participate in project kick-off and coordination meetings, and engage with cross-functional teams including architectural, electrical, mechanical, manufacturing, and site engineers to ensure cohesive project execution.
Approving and Reviewing Documentation:
Support the review and technical approval of subcontractor workshop documentation and supplier offers. Specify materials, services, and necessary certifications for project execution.
Supporting Execution and Site Activities:
Provide technical support during fabrication and assembly. Collaborate with site managers, manufacturing, quality control, and commissioning engineers to resolve structural issues and ensure safe and efficient implementation.
QUALIFICATIONS
Education: Degree in Structural Engineering or Civil Engineering with a structural focus
Firm theoretical knowledge backed-up by experience
Experience: 3+ years
Language: Fluent in English
Software Skills: Proficiency in Tekla, Revit, AutoCAD, Robot, SCIA Engineer, IDEA StatiCa, anchoring design tools, and MS Office
Key Competencies: Attention to detail, analytical thinking, creativity, problem-solving, organization, flexibility, and strong team collaboration
TIME TRAVEL REQUIRED
  • 5%

The successful candidate will embrace Vertiv's Core Principles & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Inclusion.
OUR STRATEGIC PRIORITIES
• High-Performance Culture• Customer Focus
• Operational Excellence
• Innovation
• Financial Strength
VERTIV BEHAVIORS
• Own it
• Act with urgency
• Foster a customer-first mindset
• Think big and execute
• Lead by example
• Drive continuous improvement
• Learn and seek out development
• Promote transparent & open communication
About Vertiv
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.
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