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 filing histories.
See All ML Software Engineer JobsOverview
Showing 5 of 58+ ML Software Engineer Jobs in Ohio with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 58+ ML Software Engineer Jobs in Ohio with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs in Ohio with Visa Sponsorship.
Get Access To All JobsJOB DESCRIPTION
You will join an industry-leading team building production-grade AI-powered software, from intelligent retrieval and automation systems to generative AI tools that augment financial advisors, investors, and operations teams.
As a Software Engineer III at JPMorganChase within Applied AI and Machine Learning, you will build, deliver, and continuously improve real software that solves real problems. You will partner closely with financial advisors, client service, product, operations, and risk and control teams to translate ambiguous needs into measurable outcomes, and you will help scale responsible, well-governed AI capabilities across multiple use cases.
Job responsibilities
- Prepare and manage data for AI products by sourcing, understanding, and curating structured and unstructured datasets for generative AI and machine learning applications.
- Build and maintain data pipelines supporting retrieval-augmented generation and analytics, including ingestion, parsing, chunking, metadata tagging, indexing, and transformations.
- Diagnose and resolve data issues by identifying root causes (for example, missing data, duplicates, schema changes, and inconsistent definitions) and coordinating remediation with upstream teams.
- Implement data quality checks, profiling, validation, reconciliation, and monitoring to detect issues early and prevent production regressions.
- Support governance and controls by following data handling requirements (access, retention, privacy, and security) and documenting sources, definitions, and assumptions.
- Collaborate with stakeholders to translate business needs into scoped technical approaches with measurable success criteria.
- Develop with modern generative AI techniques, including retrieval-augmented generation, prompt design, agentic workflows, evaluation frameworks, and safety guardrails.
- Use AI-assisted development tools as part of your daily workflow and contribute to team best practices for AI-augmented engineering.
- Communicate system behavior, trade-offs, and business impact clearly to both technical and non-technical audiences.
- Document designs, experiments, and decisions rigorously, including validation evidence and reproducibility details.
- Build reusable tooling and infrastructure (shared libraries, evaluation harnesses, prompt libraries, and pipelines) to scale AI delivery across use cases.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Proficiency in Python and strong software engineering fundamentals, including testing, version control, code review, continuous integration/continuous delivery, and writing maintainable production-quality code.
- Strong SQL and data management capability, including dataset comprehension, data profiling and quality checks, and diagnosing pipeline and data issues (for example, schema drift and inconsistent metrics).
- Experience building or supporting data pipelines for analytics or machine learning workflows.
- Familiarity with containerization and service fundamentals (for example, Docker and REST-based services).
- Practical experience with modern generative AI approaches, such as large language model APIs, retrieval-augmented generation architectures, embeddings, vector search, tokenization concepts, and evaluation of generative outputs.
- Understanding of responsible AI concepts, including privacy, security, and guardrails, and the ability to partner effectively with risk and control functions.
- Strong communication and collaboration skills across engineering, product, operations, and governance partners.
Preferred qualifications, capabilities and skills
- Exposure to distributed data processing patterns (for example, Spark).
- Familiarity with deep learning frameworks and ecosystems (for example, PyTorch, TensorFlow, and Hugging Face).
- Knowledge of financial markets, wealth management products, or advisor and client workflows.
- Demonstrated builder mindset through open-source contributions or personal projects in AI and machine learning.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
JOB DESCRIPTION
You will join an industry-leading team building production-grade AI-powered software, from intelligent retrieval and automation systems to generative AI tools that augment financial advisors, investors, and operations teams.
As a Software Engineer III at JPMorganChase within Applied AI and Machine Learning, you will build, deliver, and continuously improve real software that solves real problems. You will partner closely with financial advisors, client service, product, operations, and risk and control teams to translate ambiguous needs into measurable outcomes, and you will help scale responsible, well-governed AI capabilities across multiple use cases.
Job responsibilities
- Prepare and manage data for AI products by sourcing, understanding, and curating structured and unstructured datasets for generative AI and machine learning applications.
- Build and maintain data pipelines supporting retrieval-augmented generation and analytics, including ingestion, parsing, chunking, metadata tagging, indexing, and transformations.
- Diagnose and resolve data issues by identifying root causes (for example, missing data, duplicates, schema changes, and inconsistent definitions) and coordinating remediation with upstream teams.
- Implement data quality checks, profiling, validation, reconciliation, and monitoring to detect issues early and prevent production regressions.
- Support governance and controls by following data handling requirements (access, retention, privacy, and security) and documenting sources, definitions, and assumptions.
- Collaborate with stakeholders to translate business needs into scoped technical approaches with measurable success criteria.
- Develop with modern generative AI techniques, including retrieval-augmented generation, prompt design, agentic workflows, evaluation frameworks, and safety guardrails.
- Use AI-assisted development tools as part of your daily workflow and contribute to team best practices for AI-augmented engineering.
- Communicate system behavior, trade-offs, and business impact clearly to both technical and non-technical audiences.
- Document designs, experiments, and decisions rigorously, including validation evidence and reproducibility details.
- Build reusable tooling and infrastructure (shared libraries, evaluation harnesses, prompt libraries, and pipelines) to scale AI delivery across use cases.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Proficiency in Python and strong software engineering fundamentals, including testing, version control, code review, continuous integration/continuous delivery, and writing maintainable production-quality code.
- Strong SQL and data management capability, including dataset comprehension, data profiling and quality checks, and diagnosing pipeline and data issues (for example, schema drift and inconsistent metrics).
- Experience building or supporting data pipelines for analytics or machine learning workflows.
- Familiarity with containerization and service fundamentals (for example, Docker and REST-based services).
- Practical experience with modern generative AI approaches, such as large language model APIs, retrieval-augmented generation architectures, embeddings, vector search, tokenization concepts, and evaluation of generative outputs.
- Understanding of responsible AI concepts, including privacy, security, and guardrails, and the ability to partner effectively with risk and control functions.
- Strong communication and collaboration skills across engineering, product, operations, and governance partners.
Preferred qualifications, capabilities and skills
- Exposure to distributed data processing patterns (for example, Spark).
- Familiarity with deep learning frameworks and ecosystems (for example, PyTorch, TensorFlow, and Hugging Face).
- Knowledge of financial markets, wealth management products, or advisor and client workflows.
- Demonstrated builder mindset through open-source contributions or personal projects in AI and machine learning.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
ML Software Engineer Job Roles in Ohio
See all 58+ ML Software Engineer Jobs in Ohio
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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.
See which ml software engineer employers are hiring and sponsoring visas in Ohio right now.
Search ML Software Engineer Jobs in Ohio