Machine Learning Intern Jobs in Ohio
Machine Learning Intern jobs in Ohio concentrate in technology, healthcare AI, financial services, and advanced manufacturing, with the state emerging as one of the Midwest's most active markets for early-career ML talent. Columbus, Cleveland, and Cincinnati anchor most of the hiring, where employers like JPMorgan Chase, Nationwide, and Procter & Gamble maintain significant engineering and data science operations. The most in-demand specialties include natural language processing, computer vision, and predictive analytics applied to real-world business systems. Find a role that fits below and apply directly.
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Description
The AI Center of Excellence (CoE) is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision ‑ making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome ‑ focused project execution.
Key Responsibilities
Collaborate with the Product Owner to manage the end ‑ to ‑ end AI development lifecycle—requirements gathering, data sourcing, model development, proof ‑ of ‑ concept demonstrations, risk governance reviews, and production deployment across both on ‑ premises and AWS environments.
Demonstrate strong self ‑ discipline and professional ownership in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery.
Apply automation techniques to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self ‑ service tools and assets.
Stay current with emerging machine learning, cloud, and AI technologies , driving innovation by evaluating and integrating new capabilities into existing workflows and products.
Basic Requirements
PhD or M aster’s degree in Statistics, Economics, Data Science, or related field.
Minimum of 3 years related work experience in AWS cloud machine learning or a similar AI platform s , with familiar ity in AWS Sagemaker , Lambda, S3, Athena, etc.
Preferred Skills:
- Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools.
- Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering.
Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals.
Hands ‑ on experience with LLM fine ‑ tuning
Practical understanding of advanced Retrieval ‑ Augmented Generation (RAG) methods such as MMR, multi ‑ vector retrieval, RAG ‑ fusion, HYDE, self ‑ RAG, and retrieval evaluation frameworks.
Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi ‑ agent collaboration, tool ‑ use agents, and workflow automation patterns.
Hands ‑ on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract , and related ML orchestration capabilities.
#LI-NG1
#LI-Onsite
Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)
Workplace Type:
OfficeOur 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.
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.
Description
The AI Center of Excellence (CoE) is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision ‑ making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome ‑ focused project execution.
Key Responsibilities
Collaborate with the Product Owner to manage the end ‑ to ‑ end AI development lifecycle—requirements gathering, data sourcing, model development, proof ‑ of ‑ concept demonstrations, risk governance reviews, and production deployment across both on ‑ premises and AWS environments.
Demonstrate strong self ‑ discipline and professional ownership in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery.
Apply automation techniques to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self ‑ service tools and assets.
Stay current with emerging machine learning, cloud, and AI technologies , driving innovation by evaluating and integrating new capabilities into existing workflows and products.
Basic Requirements
PhD or M aster’s degree in Statistics, Economics, Data Science, or related field.
Minimum of 3 years related work experience in AWS cloud machine learning or a similar AI platform s , with familiar ity in AWS Sagemaker , Lambda, S3, Athena, etc.
Preferred Skills:
- Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools.
- Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering.
Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals.
Hands ‑ on experience with LLM fine ‑ tuning
Practical understanding of advanced Retrieval ‑ Augmented Generation (RAG) methods such as MMR, multi ‑ vector retrieval, RAG ‑ fusion, HYDE, self ‑ RAG, and retrieval evaluation frameworks.
Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi ‑ agent collaboration, tool ‑ use agents, and workflow automation patterns.
Hands ‑ on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract , and related ML orchestration capabilities.
#LI-NG1
#LI-Onsite
Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)
Workplace Type:
OfficeOur 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.
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.
See All 19 Machine Learning Intern Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Machine Learning Intern Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Ohio Employers Look For
The qualifications that appear most often in machine learning intern jobs across Ohio.
- Currently enrolled in a bachelor's or master's program in computer science, statistics, or related field
- Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch
- Experience applying supervised and unsupervised learning techniques to structured or unstructured datasets
- Demonstrated projects or coursework in data preprocessing, model training, and performance evaluation
- Familiarity with SQL and experience working with large datasets in a cloud or on-premises environment
- Strong written and verbal communication skills for presenting model results to technical and non-technical teams
Machine Learning Intern Jobs in Ohio: Frequently Asked Questions
How do you become a machine learning intern in Ohio?
Machine learning internships in Ohio do not require a state-issued license or credential. The typical path is active enrollment in a bachelor's or master's program in computer science, data science, mathematics, or a closely related discipline at one of Ohio's research universities, such as Ohio State, Case Western Reserve, or the University of Cincinnati. Employers consistently expect a portfolio of completed ML projects, proficiency in Python, and coursework in statistics and algorithms alongside the degree.
Which companies hire machine learning interns in Ohio?
Companies currently hiring machine learning interns in Ohio include Path Robotics, Path Robotics, and Etegent Technologies, per current listings on Migrate Mate as of September 2026. Ohio's mix of Fortune 500 headquarters, large regional banks, and healthcare systems creates unusually broad demand for ML intern talent across industries.
Which Ohio cities have the most machine learning intern jobs?
Columbus, Cleveland, and Raymond account for the largest share of machine learning intern openings in Ohio. Columbus leads because of its dense cluster of financial services firms, insurance companies, and tech startups, while Cleveland's strength in healthcare and manufacturing analytics drives demand there, and Cincinnati benefits from the regional headquarters of major consumer goods and retail companies.
Are there remote machine learning intern jobs in Ohio?
Yes, and more than most fields. About 56% of machine learning intern openings tied to Ohio are remote or hybrid as of September 2026, reflecting the fact that the core work, model development, data analysis, and code review, is well suited to distributed environments. Roles involving proprietary on-premises data infrastructure or embedded hardware tend to require in-person attendance.
How can I get hired as a machine learning intern in Ohio with little or no experience?
The most realistic entry path is applying through university-affiliated internship programs at large Ohio employers before accumulating professional experience. Ohio State's industry partnership programs and Case Western's cooperative education office channel students into paid ML rotations at employers like Nationwide, Progressive, and the Cleveland Clinic. Building a GitHub portfolio with reproducible projects in classification or regression, even on public datasets, directly substitutes for work history in most Ohio screening processes.
Where can I find and apply to machine learning intern jobs in Ohio?
You can find and apply to machine learning intern jobs in Ohio on Migrate Mate, which lists current Ohio openings updated in real time. Search the available roles by city or specialty, find the ones that fit your background, and apply directly to the employer from the listing.
See All 19 Machine Learning Intern Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs