1

Machine Learning Engineer Jobs in Columbia, SC (NOW HIRING)

This Software Engineer role will be focused on developing software tools supporting system design ... Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning ...

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

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

... 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 ...

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 ...

Python Tutor

Columbia, SC · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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 ...

Data Scientist

Sumter, SC · On-site

$99K - $225K/yr

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

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 ...

Showing results 21-40

Machine Learning Engineer information

See Columbia, SC salary details

$29.1K

$119.1K

$179K

How much do machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineer in Columbia, SC is $119,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $143,400.00 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 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 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 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.

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Columbia, SC as of September 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $119,129 per year, or $57.3 per hour.

Software Engineer

Columbia, SC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

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:

  • Develop modeling and simulation software tools for use in design and manufacturing environments.
  • Research and integrate emerging computational tools and workflows, including AI/ML technologies and modern data architectures, with physics-based modeling and simulation.
  • Collaborate across disciplines and with university partners to build prototypes that demonstrate technical capabilities applied to design and manufacturing systems with DoW relevance.
  • 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.
  • 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.
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.
#J-18808-Ljbffr