ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Greenville, SC

Vertiv Co

Presales Electrical Engineer

Pelzer, SC · On-site

... 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 ...

Td

Data Scientist III - FCRM

Greenville, SC

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions. * AML, Financial Crime, Compliance, Audit, Risk, or ...

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

Pwc

ERP AI Engineer - Manager

Spartanburg, SC

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

ASC Engineered Solutions, LLC

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

previous pagenext page

Showing results 21-40

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

Machine Learning Engineer information

See Greenville, SC salary details

$29.6K

$121.1K

$181.9K

How much do machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning engineer in Greenville, SC is $121,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $145,700.00 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 job categories do people searching Machine Learning Engineer jobs in Greenville, SC look for? The top searched job categories for Machine Learning Engineer jobs in Greenville, SC are:
What cities near Greenville, SC are hiring for Machine Learning Engineer jobs? Cities near Greenville, SC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Greenville, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,080 per year, or $58.2 per hour.
Presales Electrical Engineer

Presales Electrical Engineer

Vertiv Co

Pelzer, SC • On-site

Other

Posted 12 days ago

Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

374th of 486 rated machine equipment manufacturers

Job description

POSITION SUMMARY

Join Vertiv as AMER Presales Electrical 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 during the early engagement phases of customer programs, 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

  • Reading and understanding RFP and tender documents
  • Reading and understanding customer requirements provided by Solution Architects and Sales team
  • Concept design of electrical system architecture and equipment
  • Understanding of relevant codes and standards for electrical power equipment and installations
  • CAD Modeling
  • Coordination with other technical disciplines (architectural, structural, HVAC, controls, fire protection)
  • Technical project coordination with customers and suppliers
  • Communication with customers in order to propose the best solution
  • Making technical proposals for Vertiv modular/hybrid solutions data centers 
  • Providing electrical design documents
  • Problem solving and interpretation of customer requirements in proposed solutions
  • Support SA and sales team

QUALIFICATIONS

  • Bachelor's or equivalent degree in Electrical Engineering
  • Proficient in Electrical power system design
  • 3+ years of experience
  • Good CAD capabilities including the ability to represent layouts and electrical schematic diagrams, as well as specifics of custom electrical sub-systems associated with Uninterruptable Power Supplies, DC systems, LV and MV power distribution systems, diesel gensets
  • Dimensioning and specification of electrical equipment and installations 
  • Knowledge of short circuit and protection coordination study calculations and modeling tools 
  • Solution-based thinking that will incorporate a multitude of Mechanical and Electrical components in end-customer deployment   
  • Solid communication skills, both written and oral, to work across multiple Engineering and Manufacturing teams to bring architecture and concepts to deployment 
  • PC skills: active user of Windows, MS Office incl. Excel (A), Word (A), AutoCAD
  • Active English 

PHYSICAL & ENVIRONMENTAL DEMANDS

  • N/A

TIME TRAVEL REQUIRED

  • N/A

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPLES: 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 tohelp.join@vertiv.com.

#LI-RB1

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. 

OUR CORE PRINCIPALS:  Safety.  Integrity.  Respect.  Teamwork.  Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

  • Customer Focus
  • Operational Excellence
  • High-Performance Culture
  • Innovation
  • Financial Strength

OUR 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

 

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.

 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@vertivco.com. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers

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.

What Vertiv employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply