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Freelance Machine Learning Engineer Jobs in Columbia, SC

Integer

Software Engineer

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning ... Hands-on experience with DevOps practices, including CI/CD pipelines, automated testing ...

The Nuclear Company

Cost Estimator

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

The Nuclear Company

Cost Estimator

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Integer

Systems Engineer

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role The Systems Engineering role requires passion and drive to work towards enabling ... machine learning approaches) and translating that into actionable, mission-level information for ...

Artefact

Jr. Data Scientist - (Canada-based)

North, SC · On-site

Develop statistical and machine learning models including regression, forecasting, classification ... Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or ...

Pwc

GenAI Python Systems Engineer -Senior Manager

Columbia, SC

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

Td

Data Scientist III - FCRM

Lexington, SC · On-site

$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

Columbia, 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 ...

Credence

Data Scientist- AFCENT 4.45

Shaw Air Force Base, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Document data engineering processes, procedures, and standards for future reference. Communicate ... Develop and deploy machine learning models. Develop and implement data-driven solutions to complex ...

Credence

Data Scientist- AFCENT 4.45

Shaw Air Force Base, SC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Document data engineering processes, procedures, and standards for future reference. Communicate ... Develop and deploy machine learning models. Develop and implement data-driven solutions to complex ...

Booz Allen Hamilton

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... programming languages for data analysis 5+ years of experience analyzing structured and ...

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Columbia, SC

Freelance Machine Learning Engineer information

See Columbia, SC salary details

$13

$44

$122

How much do freelance machine learning engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for freelance machine learning engineer in Columbia, SC is $44.14, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $57.16 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What are the key skills and qualifications needed to thrive as a freelance machine learning engineer?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Columbia, SC?

The most popular types of Machine Learning Engineer jobs in Columbia, SC are:

What are popular job titles related to Freelance Machine Learning Engineer jobs in Columbia, SC?

For Freelance Machine Learning Engineer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Engineer jobs in Columbia, SC look for?

The top searched job categories for Freelance Machine Learning Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Freelance Machine Learning Engineer jobs?

Cities near Columbia, SC with the most Freelance Machine Learning Engineer job openings:

Freelance Machine Learning Engineer jobs near you

Software Engineer

Integer

Columbia, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Integer Holdings rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

293rd of 540 rated manufacturers

Job description

About the role
This Software Engineer role will be focused on developing software tools supporting system design, development, and manufacturing for customers in the defense, and aerospace, and maritime industries. Key objectives for the role are:
  1. Develop modeling and simulation software tools for use in design and manufacturing environments.
  1. Research and integrate emerging computational tools and workflows, including AI/ML technologies and modern data architectures, with physics-based modeling and simulation.
  1. Collaborate across disciplines and with university partners to build prototypes that demonstrate technical capabilities applied to design and manufacturing systems with DoW relevance.
  1. Mature prototype capabilities into production-ready enterprise applications supporting the defense industrial base.

What you'll do
  • Agentic Architecture Development: Support research and development of autonomous software agents, deployed in the control of complex systems.
  • Architectural Design & Documentation: Develop and document robust technical solutions for unique problem sets, ensuring scalable and maintainable software architectures and promoting standardization and re-use of modular code.
  • Software Development & Automation: Write clean, efficient code; adapt existing frameworks; and develop pipelines that optimize development processes and drive tangible results.
  • Product Development: Leverage hands-on software development experience to create innovative software products for internal teams and external customers, using proven methodologies from past projects.
  • Data Integration Strategy: Develop and implement methods for integrating data from multiple sources-ranging from design information to transactional and streaming data-to create unified, actionable insights.
  • Software Quality Management through DevOps Practices: Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and scalability. Utilize version control systems (e.g., Git) for source code management, enforce CI/CD pipelines for automated testing and deployment, and apply infrastructure-as-code principles to enhance operational efficiency.
  • Automated Workflow & Cross-Functional Collaboration: Build automated workflows to streamline data and software operations, while collaborating with cross-functional teams including data scientists, engineers, and domain specialists to ensure software solutions align with business needs.
  • Technical & Non-Technical Presentations: Present and clearly articulate architectural solutions to both technical teams and non-technical stakeholders, ensuring alignment and understanding across all levels.
  • Technical Research & Documentation: Conduct research, review technical documentation, and evaluate the pros and cons of emerging technologies to continuously refine engineering strategies.
  • Stakeholder Communication: Translate complex software functions and development requirements into clear, accessible terms for customers, government representatives, project managers, and other non-technical stakeholders.

Qualifications
  • Must be a U.S. Citizen with the ability to obtain and maintain a DoW Secret Clearance (eligibility for Top Secret is a plus).
  • Bachelor's degree in Computer Science, Software/Computer Engineering or related field.
  • 5+ years of professional experience in software development related to modeling, simulation, design, or manufacturing applications.
  • Experience with middleware software languages and technologies. For example: Java, C++, C#, Objective C, Python, SQL, Rust, Perl, Go, REST API, or Bash.
  • Experience with frontend software languages and technologies. For example: Angular, React, Swift, TypeScript, JavaScript, Vue, Cordova or Node
  • Demonstrated proficiency in developing software products for deployment in a defense environment.
  • Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency.
  • Demonstrated proficiency in designing and documenting scalable technical solutions, including microservices, cloud-based architectures, and modular frameworks.
  • Proficiency in building systems utilizing simultaneous data streams from real-world equipment and/or simulations such as Digital Twins.
  • Hands-on experience with DevOps practices, including CI/CD pipelines, automated testing, containerization (Docker/Kubernetes), and version control systems (Git).
  • Experience mentoring junior developers, conducting peer code reviews, and contributing to a knowledge-sharing culture.
  • Excellent problem-solving skills and attention to detail.
  • Excellent written and verbal communication skills; ability to produce clear technical reports and give concise briefings to senior military and executive stakeholders.

Additional Desired Qualifications
  • Masters or PhD in a relevant engineering or computer science discipline.
  • Experience with Systems Engineering and Systems Integration.
  • Experience in development of computation design applications.
  • Experience in manufacturing environments.
  • Experience using modeling and simulation tools in the development and optimization of components and systems, such as FEA, CFD, Discrete-event Simulation.
  • Experience in developing and maintaining enterprise software in production.
  • Experience developing and running applications on HPCs.

What We Do
Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.
Compensation and Benefits
  • Base salary which exceeds local & national industry averages.
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Integer's standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving employees thousands of dollars annually.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid vacation.
  • Paid sick leave.
  • Paid holidays.
  • Relocation assistance available.

Company Perks
  • Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they are creating but enjoy helping each other as well.
  • Bottomless coffee.

What Integer Holdings employees say

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