ML Software Engineer Visa Sponsorship Jobs in Ohio
Ohio's ML software engineer hiring is anchored by Columbus, Cincinnati, and Cleveland, where companies like Nationwide, Huntington Bank, JPMorgan Chase, and major healthcare systems like Cleveland Clinic run active machine learning teams. Visa sponsorship is common for qualified candidates, particularly at large enterprises and Ohio-based tech spinouts with ongoing H-1B visa filing histories.
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Join our Sales Science Data and Analytics team and help us optimize client engagement through our Consumer & Community Banking field employees and tools! As an Applied AI ML Senior Associate in our Sales Science Data and Analytics team, you will help us optimize client engagement through our innovative projects and you will help us drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we reinvent CRMs and client/employee interactions at the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. You are someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.
Job Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments using latest ML technologies, analyzing results, tuning models.
- Actively engage in hands-on coding to convert experimental results into robust production solutions.
- Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
- Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Required Qualifications, Capabilities, And Skills
- Bachelor's degree in Computer Science, Machine Learning, or a related field with 3 years of applied machine learning experience.
- 3+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
- Experience in applying data science, ML techniques and Reinforcement Learning to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player.
Preferred Qualifications, Capabilities, And Skills
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 4 years of applied machine learning experience preferred.
- Advanced knowledge in Reinforcement Learning or Meta Learning.
- Software development experience is a plus.
- Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
About us
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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
Join our Sales Science Data and Analytics team and help us optimize client engagement through our Consumer & Community Banking field employees and tools! As an Applied AI ML Senior Associate in our Sales Science Data and Analytics team, you will help us optimize client engagement through our innovative projects and you will help us drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we reinvent CRMs and client/employee interactions at the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. You are someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.
Job Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments using latest ML technologies, analyzing results, tuning models.
- Actively engage in hands-on coding to convert experimental results into robust production solutions.
- Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
- Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Required Qualifications, Capabilities, And Skills
- Bachelor's degree in Computer Science, Machine Learning, or a related field with 3 years of applied machine learning experience.
- 3+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
- Experience in applying data science, ML techniques and Reinforcement Learning to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player.
Preferred Qualifications, Capabilities, And Skills
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 4 years of applied machine learning experience preferred.
- Advanced knowledge in Reinforcement Learning or Meta Learning.
- Software development experience is a plus.
- Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
About us
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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
ML Software Engineer Job Roles in Ohio
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Search ML Software Engineer Jobs in OhioML Software Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for ML software engineers?
Large employers with established ML teams are the most consistent sponsors in Ohio. Nationwide Insurance and JPMorgan Chase in Columbus, Procter & Gamble and Kroger in Cincinnati, and Cleveland Clinic in the Cleveland area have all appeared in H-1B disclosure data for machine learning and software engineering roles. Defense contractors like Battelle and Leidos, headquartered or with major Ohio operations, also sponsor for applied ML positions.
Which visa types are most common for ML software engineer roles in Ohio?
The H-1B is the most common visa category for ML software engineers in Ohio, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, mathematics, or a related field. Candidates already holding F-1 OPT or STEM OPT authorization often use that period while their employer files an H-1B petition. The O-1A is an option for candidates with demonstrable recognition in the field, though it requires substantial documentation.
How to find ml software engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search ML software engineer roles in Ohio without sifting through positions that won't support international candidates. The platform aggregates sponsoring employers across Columbus, Cincinnati, and Cleveland, making it practical to target companies with an active H-1B filing history in machine learning and applied AI rather than applying broadly.
Which cities in Ohio have the most ML software engineer sponsorship jobs?
Columbus is Ohio's largest concentration of ML sponsorship activity, driven by financial services, insurance, and a growing tech sector around institutions like Ohio State University. Cincinnati follows, anchored by consumer goods and retail analytics firms. Cleveland is a smaller but active market, particularly in healthcare AI at systems like Cleveland Clinic and University Hospitals. Dayton has defense and aerospace ML work through contractors near Wright-Patterson Air Force Base.
Are there state-specific considerations for ML software engineers pursuing sponsorship in Ohio?
Ohio's ML hiring is heavily influenced by its university pipeline. Ohio State, Case Western Reserve, and the University of Cincinnati produce ML research talent that local employers recruit from directly, which means competition for sponsored roles can be significant. The state's industry mix, heavy in finance, insurance, healthcare, and defense, means ML roles here often focus on applied modeling and data infrastructure rather than foundational research, which shapes the degree and experience requirements employers typically file under.
What is the prevailing wage for sponsored ml software engineer jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.