Senior ML Engineer Jobs in Ohio
Senior ML Engineer jobs in Ohio are active and growing, concentrated in financial services, healthcare technology, and advanced manufacturing analytics, with demand running from mid-level practitioners through principal engineers who lead model strategy. Columbus, Cleveland, and Cincinnati are the primary hiring metros, where established employers such as Nationwide, Progressive Insurance, and the Cleveland Clinic have built substantial data science and machine learning organizations. Deep learning, MLOps platform engineering, and applied NLP are among the most consistently sought specialties across Ohio's market. 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 24 Senior ML Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Senior ML Engineer 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 senior ML engineer jobs across Ohio.
- Bachelor's or master's degree in computer science, statistics, or a closely related quantitative field
- Five or more years of hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and at least one ML framework such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated experience with MLOps practices including model versioning, monitoring, and CI/CD pipelines
- Strong background in SQL and comfort working with large-scale distributed data platforms such as Spark or Databricks
- Ability to translate complex model outputs into clear recommendations for non-technical business stakeholders
Senior ML Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a senior ml engineer in Ohio?
The path to a senior ml engineer role in Ohio runs through a bachelor's or master's degree in computer science, data science, or a quantitative field, followed by several years of applied modeling experience. Ohio does not require a state-issued license for this role. Most candidates advance by building a portfolio of production deployments, contributing to open-source projects, and earning recognized credentials such as AWS Machine Learning Specialty or Google Professional ML Engineer certification.
How much do senior ML engineers make in Ohio?
Senior ML engineers in Ohio earn a median of about $109,780 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $49,320 for the lowest 10% to over $161,520 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Ohio?
Employers hiring senior ml engineers in Ohio right now include Path Robotics, Path Robotics, and Procter & Gamble, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of insurance headquarters, regional banks, and integrated health systems means a notable share of these roles sit inside long-established enterprise technology teams rather than early-stage startups.
Which Ohio cities have the most senior ml engineer jobs?
Columbus, Cleveland, and Cincinnati account for the largest share of senior ml engineer openings in Ohio. Columbus leads because it is home to major insurance and financial services headquarters, while Cleveland's concentration of health systems and manufacturing conglomerates drives demand there, and Cincinnati's mix of consumer goods companies and regional banks supports a steady pipeline of roles in that metro.
Are there remote senior ml engineer jobs in Ohio?
Yes, and more than most fields. About 50% of senior ml engineer openings tied to Ohio are remote or hybrid as of September 2026, reflecting how fully the work translates to distributed environments. Roles focused on model research, experimentation, and inference pipeline development tend to carry the most remote flexibility, while positions that require close collaboration with embedded hardware or on-site data infrastructure are more likely to require in-person presence.
How can I get hired as a senior ml engineer in Ohio with little or no experience?
The most realistic entry path is a junior or associate data scientist role, which large Ohio employers such as Nationwide, Progressive, and the major Cleveland and Columbus health systems post regularly for candidates with strong coursework or project portfolios but limited professional history. Building publicly visible work on GitHub, completing a recognized cloud ML certification, and targeting rotational data programs or co-op pipelines at Ohio's large financial and healthcare organizations gives candidates without direct experience a concrete foothold.
Where can I find and apply to senior ml engineer jobs in Ohio?
You can find and apply to senior ml engineer jobs in Ohio on Migrate Mate, which lists current openings tied to Ohio employers and remote roles that are open to Ohio-based candidates. Find the roles that fit your background and apply directly from the listing.
See All 24 Senior ML Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Senior ML Engineer Jobs