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Network Network Engineer Jobs in Florence, SC (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Florence, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Domtar

Process Specialist

Bennettsville, SC · On-site

... network of facilities across Canada and the United States, Domtar delivers high-quality and cost ... Engineering with at least five years of appropriate experience; or a minimum of 10 years of ...

Domtar

Process Specialist

Bennettsville, SC · On-site

... network of facilities across Canada and the United States, Domtar delivers high-quality and cost ... Engineering with at least five years of appropriate experience; or a minimum of 10 years of ...

Domtar

Process Specialist

Bennettsville, SC

... network of facilities across Canada and the United States, Domtar delivers high-quality and cost ... Engineering with at least five years of appropriate experience; or a minimum of 10 years of ...

Aerotek

HVAC Technician

Florence, SC

$28 - $35/hr

Minimum 4 years of technical experience in commercial building engineering with strong background ... Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North ...

NCR Voyix

Field Service Technician I

Florence, SC · On-site

$19 - $21/hr

Field Engineer? Service Technician? Or do you want to start a career in this field? Are you tech ... to service or replace networking equipment such as access points or switches. Preferred ...

NCR Voyix

Field Service Technician

Florence, SC · On-site

$19 - $21/hr

Field Engineer? Service Technician? Or do you want to start a career in this field? Are you tech ... to service or replace networking equipment such as access points or switches. Preferred ...

Hoffman & Hoffman Inc

VRV Service Technician

Florence, SC · On-site

$25 - $33/hr

... network. This work also includes associated ancillary equipment such as dedicated makeup/outdoor ... Read and understand blueprints, equipment manuals, and engineering specifications to properly ...

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Showing results 41-52

All JobsNetwork Network Engineer JobsNetwork Network Engineer Jobs in Florence, SC

Network Network Engineer information

See Florence, SC salary details

$30K

$105.4K

$152.7K

How much do network network engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for network network engineer in Florence, SC is $105,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Network Network Engineer vs Network Administrator?

AspectNetwork Network EngineerNetwork Administrator
CertificationsCCNA, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesign, implementation, troubleshooting of networksNetwork maintenance, monitoring, and support
Primary ResponsibilitiesBuilding and optimizing network infrastructureManaging daily network operations
Industry UsageIT, telecommunications, large enterprisesSmall to medium businesses, organizations

While both roles require similar certifications and work in network environments, Network Network Engineers focus on designing and implementing network solutions, whereas Network Administrators handle ongoing maintenance and support. Understanding these differences helps in choosing the right career path or job role.

What are popular job titles related to Network Network Engineer jobs in Florence, SC? For Network Network Engineer jobs in Florence, SC, the most frequently searched job titles are:
What job categories do people searching Network Network Engineer jobs in Florence, SC look for? The top searched job categories for Network Network Engineer jobs in Florence, SC are:
What cities near Florence, SC are hiring for Network Network Engineer jobs? Cities near Florence, SC with the most Network Network Engineer job openings:
Network Network Engineer jobs near you

Machine Learning Tutor

Varsity Tutors

Florence, SC • Remote

$18 - $40/hr

Part-time

Re-posted 5 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Machine Learning Tutor
  • Advanced Subject Mastery: Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ROC curves. Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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