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Machine Learning Engineer Jobs in Greenville, SC

Omnicom

Full Stack Developer

Greenville, SC · On-site

Technology Design Full-Stack Developer (.NET / C# / AWS) EP+Co. | Creative Technology Team EP+Co ... AI, machine learning, and cloud-native automation tools. If you are passionate about building ...

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:

Bosch Group

Logistics Engineer Co-op

Fountain Inn, SC · On-site

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

Rexroth

Logistics Packaging Engineer

Fountain Inn, SC

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

Bosch Group

Logistics Engineer

Fountain Inn, SC · On-site

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

Rexroth

Logistics Engineer

Fountain Inn, SC · On-site

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

Bosch Group

Logistics Engineer

Fountain Inn, SC

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

Hyve Solutions

BI Analyst

Greenville, SC · On-site

$68K - $110K/yr

Hyve Company Overview Hyve Solutions transforms complex engineering challenges into production ... Exposure to data science tools or methodologies (Python, R, machine learning concepts, data bricks ...

Pae

Applied Multiphysics Engineer

Greenville, SC · On-site

Amentum Advanced Solutions is a performance unit of our Engineering & Technology (E&T) Line of ... Machining and fabrication experience (milling, turning, welding, laser-cutting, forming, etc.

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Showing results 41-60

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 Aug 10, 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 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 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 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 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 August 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.

Automation Controls Engineer III

Card-Monroe Automation

Greenville, SC

$78K - $103K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary

Card-Monroe Automation is seeking an experienced Controls Engineer III to join our Greenville, SC team. This role is ideal for a strong controls engineer who enjoys custom automation, complex problem-solving, and non-repetitive project work.

The Controls Engineer III will design, program, implement, test, and support control system solutions for automated equipment. This position works closely with engineering, assembly, project management, and customers to deliver high-quality automation systems from concept through installation, commissioning, and customer acceptance.

Key Responsibilities

Design and implement control system solutions for custom automated equipment.

Develop software code for programmable controllers, robotics, motion control, vision systems, SCADA applications, and high-level languages.

Create accurate project documentation including control narratives, I/O lists, flowcharts, device lists, and related project documentation.

Support equipment testing, dry-cycle, runoff, FAT, startup, commissioning, and customer site acceptance.

Coordinate with assembly and project teams to resolve build, startup, and installation issues.

Interact with customers from a technical standpoint regarding solutions, issues, project progress, and system acceptance.

Review budgets and schedules and work with Project Managers on forecasting and release dates.

Determine and select appropriate hardware and devices for automated systems.

Provide technical guidance and mentorship to engineers, team members, and project stakeholders.

Troubleshoot equipment during installation, startup, and commissioning.

Contribute to software libraries, programming standards, and process improvements.

Participate in safety risk assessments and assist with specifying safety components.

Minimum Qualifications

Four-year engineering degree, or two-year associate degree with 6+ years of experience in controls hardware/software design for industrial manufacturing equipment, machines, robot cells, or related automation.

6-8+ years of experience in machine building, system integration, or industrial automation.

Experience with AutoCAD or SolidWorks Electrical.

PLC programming experience, including Allen-Bradley RSLogix 5/500, Studio 5000, Siemens Step 7, and/or TIA Portal.

HMI programming experience, including FactoryTalk View ME/SE, RSView, PanelBuilder, Siemens WinCC Flex, and/or TIA Portal.

SCADA programming experience such as FactoryTalk, Ignition, Wonderware, or GE Proficy.

Industrial networking experience including Ethernet/IP, PROFINET, TCP/IP, Modbus, DH+, RIO, EtherCAT, or similar.

Experience with vision systems such as Keyence, Cognex, or Balluff.

Servo experience such as Allen-Bradley Kinetix or Siemens SIMOTION.

Ability to read and interpret electrical drawings.

Preferred Skills

Hands-on experience in automotive, food/beverage, chemical, consumer products, or other manufacturing environments.

Experience designing and integrating robot cells, OEM machines, process systems, or similar automation equipment.

Working knowledge of process control strategies such as PID loops.

Strong electrical and mechanical aptitude.

Experience troubleshooting discrete and analog circuits.

ISA88 Batch Programming experience.

PlantPAX experience.

Working knowledge of Microsoft Office 365.

What We're Looking For

Strong communication and interpersonal skills.

A self-starter who can work independently and as part of a team.

Strong problem-solving, critical thinking, and design skills.

Ability to work in a fast-paced custom automation environment with minimal supervision.

Willingness to mentor others and continue learning as technologies and customer needs evolve.


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