Machine Learning Visa Sponsorship Jobs in Delaware
Delaware's machine learning job market is anchored by financial services giants like JPMorgan Chase and Bank of America in Wilmington, plus a growing biotech corridor near Newark. DuPont and Incyte also draw ML talent for research applications. Most roles concentrate in Wilmington, with the University of Delaware feeding early-career pipelines into the state.
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JOB DESCRIPTION
As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory — from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services — with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.
Job Responsibilities:
- Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
- Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning — across client service, risk, and operational efficiency use cases
- Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
- Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
- Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
- Mentor junior data scientists and help set technical standards for the team
- Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide
Required Qualifications:
- Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
- At least 5 years of hands-on ML experience in production environments with Master's or 3 years with PhD
- Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
- Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
- Experience with large-scale data processing: Spark, Hive, SQL
- Proven ability to communicate technical work to non-technical stakeholders
Preferred Qualifications:
- Financial services experience
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
As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory — from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services — with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.
Job Responsibilities:
- Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
- Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning — across client service, risk, and operational efficiency use cases
- Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
- Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
- Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
- Mentor junior data scientists and help set technical standards for the team
- Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide
Required Qualifications:
- Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
- At least 5 years of hands-on ML experience in production environments with Master's or 3 years with PhD
- Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
- Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
- Experience with large-scale data processing: Spark, Hive, SQL
- Proven ability to communicate technical work to non-technical stakeholders
Preferred Qualifications:
- Financial services experience
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.
Machine Learning Job Roles in Delaware
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Search Machine Learning Jobs in DelawareMachine Learning Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Delaware?
Financial institutions with major Delaware operations, including JPMorgan Chase, Bank of America, and Barclays, have sponsored visas for ML engineers and data scientists. In the life sciences sector, Incyte and other biotech firms near Wilmington have sponsored ML talent for research-adjacent roles. DuPont's innovation centers also hire for applied ML positions. Sponsorship availability varies by role, team, and hiring cycle.
Which visa types are most common for machine learning roles in Delaware?
The H-1B is the most common visa for machine learning professionals in Delaware, as ML engineer and data scientist roles generally qualify as specialty occupations requiring a bachelor's degree or higher in a relevant technical field. Candidates already in the U.S. on F-1 OPT or STEM OPT are also actively hired. The O-1A is an option for individuals with documented exceptional achievements in the field.
Which cities in Delaware have the most machine learning sponsorship jobs?
Wilmington is by far Delaware's primary hub for machine learning sponsorship jobs, driven by its concentration of financial services headquarters and corporate offices. Newark is the secondary market, benefiting from proximity to the University of Delaware and a smaller cluster of technology and life sciences employers. Dover and other areas of the state see significantly fewer ML roles with sponsorship.
How to find machine learning visa sponsorship jobs in Delaware?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for machine learning roles in Delaware. You can filter directly by state and role type to surface positions at employers who have a documented history of sponsoring visas. This saves time compared to manually screening general job listings where sponsorship availability is often unclear.
Are there any Delaware-specific factors to know when pursuing machine learning sponsorship?
Delaware's financial services sector drives most ML demand, so candidates with experience in fraud detection, risk modeling, or credit analytics are particularly well positioned for Wilmington-area roles. The University of Delaware's data science and computer science programs create a local pipeline, meaning employers there are generally familiar with F-1 OPT and STEM OPT work authorization. Delaware has no state income tax on earned wages for nonresidents working remotely from another state.
What is the prevailing wage for sponsored machine learning jobs in Delaware?
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.
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