2

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

For over 10 years, Andela has connected its customers with top global, remote technical talent from ... We are seeking a Staff Machine Learning Engineer to join our dynamic team specializing in a ...

Machine Learning Engineer

North, SC · Remote

$197K - $270K/yr

We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.About The RoleAs a Machine Learning Engineer, you'll do more than build models ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Python MLOps Engineer

Columbia, SC · Remote

$65 - $75/hr

Remote Reference ID: JN -052026-106781 Date Posted: 05/05/2026 Shortcut: * Description ... Exposure to data science or machine learning applications. * Experience with MLOps or model ...

Senior AI/ML Engineer

Columbia, SC · On-site +1

$85.30K - $117.20K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

next page

Showing results 1-20

Remote Machine Learning information

See Columbia, SC salary details

$23.6K

$39.4K

$81.4K

How much do remote machine learning jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote machine learning in Columbia, SC is $39,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Columbia, SC? The most popular types of Machine Learning jobs in Columbia, SC are:
What are popular job titles related to Remote Machine Learning jobs in Columbia, SC? For Remote Machine Learning jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Columbia, SC look for? The top searched job categories for Remote Machine Learning jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Machine Learning jobs? Cities near Columbia, SC with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Columbia, SC as of May 2026, with employment types broken down into 6% Internship, 63% Full Time, 18% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,396 per year, or $18.9 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Andela

North, SC • Remote

Other

Medical, Retirement, PTO

Posted 18 days ago


Job description

About Andela:

At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America.

As one of the world's largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The company's exclusive AI-powered platform, Andela Talent Cloud, is the industry's only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster.

Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI.

Join us and change the world.

Job Summary:

We are seeking a Staff Machine Learning Engineer to join our dynamic team specializing in a technology marketplace platform for engineering talent and delivering cutting-edge Generative AI (GenAI) managed solutions for enterprise clients.

In this strategic role, you will be responsible for designing, developing, and deploying scalable machine learning algorithms and systems. Your proven experimental mindset and extensive practical experience will be key in optimizing our platform's performance, improving our GenAI offerings, and driving measurable impact across diverse business use cases.

Exceptional Leadership:

As an Andelan, you don't need to be a people manager to be a leader, and you'll serve as a role model for the rest of the company. Think about the feedback your peers typically give you - if it usually sounds like the below, we want to hear from you.

  • Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea.

  • One team mentality: You break silos across teams. You put the company and mission first above yourself and team alone.

  • Great listener, hungry for feedback: You're always seeking to improve - our product, our business, yourself. You solicit diverse opinions and deeply listen.

  • Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.

  • Player-coach: You roll up your sleeves and get scrappy. You do this by proactively collaborating with your team while actively engaging in important details.

  • Business problem solver: You're not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.

Key Responsibilities:

  • Design, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance our marketplace platform and GenAI managed solutions.

  • Lead experimentation processes, rigorously validating models through A/B testing, statistical analyses, and iterative improvements.

  • Collaborate closely with data scientists, software engineers, product managers, and client teams to define requirements, build solutions, and deliver impactful, high-quality products.

  • Continuously improve existing ML solutions, ensuring they are performant, efficient, and aligned with evolving business objectives.

  • Ensure adherence to best practices in code quality, data integrity, and infrastructure reliability, with a strong emphasis on scalability and maintainability.

  • Mentor junior engineers and contribute actively to team growth, knowledge sharing, and fostering an experimental, innovation-driven engineering culture.

  • Stay current with advancements in machine learning, AI methodologies, and marketplace technologies to propose innovative solutions proactively.

Qualifications:

  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.

  • Proven experience implementing machine learning algorithms and solutions at scale in production environments.

  • Demonstrated experimental mindset, adept at hypothesis testing, experimentation design, and rigorous validation techniques.

  • Expert proficiency in Python and experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and related ML technologies.

  • Extensive experience building and deploying scalable ML pipelines and working within cloud infrastructure environments such as AWS, GCP, or Azure.

  • Strong understanding of data structures, algorithm design, and performance optimization techniques.

  • Exceptional problem-solving abilities, coupled with excellent collaboration and communication skills.

  • Track record of technical leadership, mentorship, and successful cross-functional collaboration in agile, dynamic environments.

#LI-REMOTE

#LI-RDR

Benefits

  • Fully Remote work culture - we hire globally and all of our roles are fully remote!

  • Bring your own device stipend - buy your own laptop with funds from Andela

  • Flexible working hours

  • Equity (as a part of the compensation package)

  • Healthcare, 401k / pension

  • Generous Paid Time Off, Parental Leave, Compassionate Leave

And more to come! We're on a journey to reimagine global benefits at Andela.


At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds & orientations resident in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Our policies expressly prohibit any form of harassment and/or discrimination as stated above.
Andela is home for all, come as you are.