AI ML Engineering Jobs in Ohio
AI ML Engineering jobs in Ohio are in strong and growing demand, concentrated in financial services, healthcare technology, manufacturing automation, and defense contracting, with openings at every level from entry-level data scientists through principal engineers and research leads. Columbus, Cleveland, and Cincinnati anchor most of the hiring, where established employers like JPMorgan Chase, Nationwide Insurance, and Battelle actively build out AI and machine learning teams. The most sought-after specialties in Ohio right now are natural language processing, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
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Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
Promote software and model quality, integrity, and security across the organization
Required qualifications, capabilities, and skills
- Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred qualifications, capabilities, and skills
Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
Promote software and model quality, integrity, and security across the organization
Required qualifications, capabilities, and skills
- Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred qualifications, capabilities, and skills
Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
See All 6 AI ML Engineering Jobs in Ohio
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Find AI ML Engineering JobsAI ML Engineering Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
AI ML Engineering Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What Ohio Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Ohio.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model hosting and pipelines
- Strong understanding of statistical modeling, data preprocessing, and feature engineering techniques
- Experience with MLOps practices including model versioning, monitoring, and CI/CD for ML workflows
AI ML Engineering Jobs in Ohio: Frequently Asked Questions
How do you become a ai ml engineering in Ohio?
Most Ohio employers require at least a bachelor's degree in computer science, data science, electrical engineering, or a related field, and many senior roles expect a master's degree. AI ML engineering has no state-issued license in Ohio, so the path runs through education, portfolio projects, and practical experience. Ohio's universities, including Ohio State, Case Western Reserve, and the University of Cincinnati, offer relevant graduate programs that Ohio employers actively recruit from.
Which companies hire ai ml engineerings in Ohio?
Employers hiring ai ml engineerings in Ohio right now include JPMorganChase, CVS Health, and Procter & Gamble, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of financial institutions, insurance headquarters, and federally funded research organizations like Battelle means demand extends well beyond pure tech companies.
Which Ohio cities have the most ai ml engineering jobs?
Columbus, Dayton, and Cincinnati are the Ohio cities with the most ai ml engineering openings. Columbus leads because of its dense cluster of financial services firms, insurance headquarters, and a fast-growing tech sector, while Cleveland's healthcare systems and manufacturing base drive demand there, and Cincinnati's mix of consumer goods companies and logistics firms rounds out the market.
Are there remote ai ml engineering jobs in Ohio?
Yes, and more than most fields. About 0% of ai ml engineering openings tied to Ohio are remote or hybrid as of September 2026, reflecting how central this work is to software and data pipelines that can run entirely from a laptop. Model research, data engineering, and experimentation roles tend to offer the most remote flexibility, while roles involving on-site infrastructure or embedded systems lean hybrid or on-site.
How can I get hired as a ai ml engineering in Ohio with little or no experience?
The most realistic entry path is an applied role such as data analyst, junior data scientist, or machine learning intern, which large Ohio employers like Nationwide, Progressive, and Battelle post regularly for new graduates. Building a portfolio of GitHub projects demonstrating model training and deployment gives candidates a measurable edge at the resume stage. Ohio State and Case Western co-op and internship pipelines also feed directly into full-time junior ML roles at Ohio-based employers, making those programs a practical bridge for candidates without prior industry experience.
Where can I find and apply to ai ml engineering jobs in Ohio?
You can find and apply to ai ml engineering jobs in Ohio on Migrate Mate, which lists current Ohio openings across Columbus, Cleveland, Cincinnati, and beyond. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 6 AI ML Engineering Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs