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Machine Learning Engineer Apprenticeship Jobs in Florence, SC

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

Material Handler ( 3rd Shift)

Florence, SC ยท On-site

$16.25 - $19.50/hr

... foster learning all Level 1 and 2 products/stations and cell configurations. Ability to train ... Mechanical - Knowledge of machines and tools (Banding machine, strap, including their designs, uses ...

Material Handler ( 3rd Shift)

Florence, SC ยท On-site

$16.25 - $19.50/hr

... foster learning all Level 1 and 2 products/stations and cell configurations. Ability to train ... Mechanical - Knowledge of machines and tools (Banding machine, strap, including their designs, uses ...

... and accepted engineering practices. * Ensures all equipment, tools and employees assigned to ... Years of experience may be substituted or combined between college degree, completed apprentice ...

... engineering practices. * Ensures all equipment, tools and employees assigned to all projects ... Years of experience may be substituted or combined between college degree, completed apprentice ...

... and accepted engineering practices. * Ensures all equipment, tools and employees assigned to ... Years of experience may be substituted or combined between college degree, completed apprentice ...

Showing results 21-40

Machine Learning Engineer Apprenticeship information

See Florence, SC salary details

$29.5K

$66.3K

$111.7K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning engineer apprenticeship in Florence, SC is $66,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $72,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Florence, SC? For Machine Learning Engineer Apprenticeship jobs in Florence, SC, the most frequently searched job titles are:

Adjunct Mechatronics Instructor

Florence-Darlington Technical College

Florence, SC โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Salary: Depends on Qualifications
Location : Florence
Job Type: Adjunct
Job Number: 202400234
Division: Academic Affairs
Department: Machine Tool
Opening Date: 04/13/2026
Closing Date: 12/31/2026 11:59 PM Eastern
Description
General Responsibilities:
Deliver high-quality instruction in industrial maintenance and mechatronics courses (e.g., electrical systems, PLCs, hydraulics/pneumatics, robotics, mechanical systems). Follow course syllabi aligned with program outcomes and industry standards. Use a variety of instructional methods (lecture, lab, hands-on training, simulations). Integrate real-world applications and industry practices into instruction. Provide hands-on lab instruction using industry-standard equipment and tools. Enforce all safety procedures and ensure a safe learning environment. Maintain lab equipment and report maintenance or supply needs. Provide academic advising related to course content and career pathways. Support student success through tutoring, mentoring, and timely feedback. Evaluate student performance through tests, labs, projects, and assignments. Maintain accurate and timely records of attendance and grades. Submit grades and required reports by institutional deadlines. Assist with curriculum updates to ensure alignment with industry needs. Support program accreditation and assessment efforts when requested. Participate in departmental meetings as required. Promote workforce readiness by incorporating employability skills. Stay up to date on current industry trends and technologies. Assist with student job placement efforts and industry partnerships when applicable. Adhere to institutional policies, procedures, and academic standards. Use the college's Learning Management System (LMS) effectively. Complete required training and professional development.
Examples of Duties
Job Functions:
-Integrate real-world applications and industry practices into instruction.
-Provide hands-on lab instruction using industry-standard equipment and tools.
-Enforce all safety procedures and ensure a safe learning environment.
-Maintain lab equipment and report maintenance or supply needs.
-Provide academic advising related to course content and career pathways.
-Support student success through tutoring, mentoring, and timely feedback.
-Evaluate student performance through tests, labs, projects, and assignments.
-Maintain accurate and timely records of attendance and grades.
-Submit grades and required reports by institutional deadlines.
-Assist with curriculum updates to ensure alignment with industry needs.
-Support program accreditation and assessment efforts when requested.
-Participate in departmental meetings as required.
-Promote workforce readiness by incorporating employability skills.
-Stay up to date on current industry trends and technologies.
-Assist with student job placement efforts and industry partnerships when applicable.
-Adhere to institutional policies, procedures, and academic standards.
-Use the college's Learning Management System (LMS) effectively.
-Complete required training and professional development.
Typical Qualifications
Minimum Requirements:
Associate Degree (AAS) in Industrial Maintenance, Mechatronics, Electrical Technology, Mechanical Technology, or a closely related field. Minimum of 3-5 years of relevant industrial experience in areas such as manufacturing, automation, maintenance, robotics, PLCs, or electromechanical systems. Demonstrated knowledge of industrial systems, including electrical controls, PLC programming, hydraulics/pneumatics, and mechanical systems. Ability to safely operate and instruct students on industry-standard equipment and tools. Basic computer skills and the ability to use a Learning Management System (LMS). Strong communication and interpersonal skills. Commitment to student success and workforce development.
Preferred Requirements:
Bachelor's degree in Engineering Technology, Mechatronics, Industrial Technology, or a related field. Prior teaching or training experience in a technical college, community college, or industry setting. Industry-recognized certifications (e.g., MSSC CPT, Siemens Mechatronics, FANUC, OSHA, NCCER, or similar). Experience with advanced automation systems, robotics, VFDs, and industrial networking. Familiarity with outcomes-based instruction. Experience using modern instructional technologies and simulation software. Strong connections with local industry and workforce partners.
Supplemental Information
Anticipated Work Hours:
Varies; dependent on course schedule.
How To Apply:
Please complete the State application to include current and previous work history and education. A resume' may be attached, but not substituted for completing work history and education sections of the application. Please upload copies of all College transcripts with your application and resume'. Florence-Darlington Technical College, P.O. Box 100548, Florence, SC 29502-0548. EOE/AA/ADA/M/F/D/V are encouraged to apply.
To claim Veteran's Preference, all eligible persons must select their veteran's status on the application and submit a DD Form 214. Certificate of Release or Discharge from Active Duty upon request and prior to an interview. Persons claiming veteran status without accompanying documentation (DD Form 214) shall not receive preference. "Veteran" means a person who served in any branch of the United States Armed Forces on active duty, for reasons other than training, and was discharged under honorable conditions.
Classification:
UZ01 - Adjunct
Benefits for State Employees
The state of South Carolina offers eligible employees generous benefits, including health and dental insurance; retirement and savings plan options; and paid vacation and sick leave. Plus, work-life balance programs such as telecommuting and flexible work schedules are available to employees of some state agencies.
Insurance Benefits
Eligible employees may enroll in , which includes prescription coverage and wellness benefits. include dental, vision, term life insurance, long term disability and flexible spending accounts for health and childcare expenses.
Retirement Benefits
State employees are also offered , including defined benefit and defined contribution plans. Additionally, eligible employees may elect to participate in the , which is a voluntary, supplemental retirement savings plan offering 401(k) and 457 plan options.
Workplace Benefits
State employees may also be eligible for , including tuition assistance; holiday, annual and sick leave; and discounts on purchases, travel and more.
Note: The benefits above are available to most state employees, with the exception of those in temporary positions. Employees in temporary grant and time-limited positions may be eligible for all, some or none of these benefits as benefits are associated with each position type. For these positions, contact the hiring agency to determine what benefits may be available.