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Remote Machine Learning Jobs in Columbus, OH (NOW HIRING)

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Deloitte

AI and Data Science Engineer II

Columbus, OH · On-site

$110K - $132K/yr

Translating business goals into machine learning use cases and model design approaches. * Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and ...

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. * Determines requirements that will be used to train and evolve deep learning models ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

New

Deloitte

Data Scientist

Columbus, OH

Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...

Deloitte

AI Data Engineer - Manager

Columbus, OH · On-site

$110K - $132K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Deloitte

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110K - $132K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

DataAnnotation

Full Stack Engineer

Columbus, OH · Remote

$40 - $75/hr

... 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 ...

DataAnnotation

Backend Software Engineer

Columbus, OH · Remote

$40 - $75/hr

... 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 ...

DataAnnotation

Back End Developer

Columbus, OH · Remote

$40 - $75/hr

... 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 ...

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Remote Machine Learning information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

How much do remote machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote machine learning in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

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.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Columbus, OH? The most popular types of Machine Learning jobs in Columbus, OH are:
What are popular job titles related to Remote Machine Learning jobs in Columbus, OH? For Remote Machine Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Columbus, OH look for? The top searched job categories for Remote Machine Learning jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Machine Learning jobs? Cities near Columbus, OH with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Columbus, OH as of May 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 11% Hybrid, and 24% Remote job distribution, with an average salary of $41,131 per year, or $19.8 per hour.

Digital - Principal SRE (AI Engineer)

Huntington

Columbus, OH • On-site, Remote

$55 - $73.25/hr

Full-time

Posted 5 days ago

Job description

Description

The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for designing, deploying, and maintaining AI-driven solutions while ensuring the reliability, scalability, and performance of digital platforms and services. The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and operations teams to deliver robust, efficient, and automated systems that support business goals.

Job Description

Summary:

The IS Technical Specialist provides technical and consultative support on the most complex technical matters.This role typically reports to the Head of Digital SRE and may involve on-call responsibilities. The position provides opportunities to work on cutting-edge AI solutions, collaborate with cross segment teams, and drive reliability for mission-critical digital services

Duties and Responsibilities:

  • Design, develop, and implement AI-driven systems and automation tools to enhance the reliability and efficiency of digital platforms.

  • Monitor the health, availability, and performance of AI-enabled applications and infrastructure using SRE best practices.

  • Collaborate with cross-functional teams to integrate machine learning models into production environments, ensuring seamless deployment and operation.

  • Establish and enforce service-level objectives (SLOs), error budgets, and incident response procedures for AI-driven services.

  • Identify, troubleshoot, and resolve complex incidents related to AI systems, leveraging observability and monitoring tools.

  • Drive continuous improvement by analyzing post-incident reviews, automating manual tasks, and optimizing system performance.

  • Stay up to date with advancements in AI, SRE, and cloud technologies, recommending innovative solutions to enhance digital reliability.

  • Document processes and runbooks for operational transparency and knowledge sharing.

  • AI Platform Integration: Develop abstraction layers across AI providers (Google, OpenAI, etc. ) to enable seamless integration and enablement.

  • Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.

  • Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.

  • Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Basic Qualifications:

  • Bachelor's degree in computer science, Engineering, Data Science, or a related field and experience.
  • 5+ years Hands-on with AI/ML engineering, SRE, DevOps, or related roles.
    • Hands-on programming skills in Python, Java, or similar languages, with Hands-on with in developing and deploying machine learning models.
    • Hands-on with cloud platforms (e.g., AWS, GCP) and containerization technologies (Docker, Kubernetes).
    • Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident management platforms.
    • Solid understanding of SRE principles: monitoring, alerting, SLOs, error budgets, and automation.
    • Hands-on with infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines.

Preferred Qualifications:

  • Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced, collaborative environment.

  • Strong communication and documentation abilities

  • Experience operationalizing large language models (LLMs) or generative AI systems in production settings.

  • Background in MLOps, data engineering, and/or cloud-native AI deployment.

  • Knowledge of security best practices for AI and cloud infrastructure.

  • Contributions to open source AI/SRE projects or relevant technical communities


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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