Machine Learning Visa Sponsorship Jobs in Florida
Florida's machine learning job market spans Miami's fintech and health tech sectors, Orlando's simulation and defense contractors, and Tampa's growing data infrastructure firms. Employers like Lockheed Martin, Chewy, and AdventHealth have sponsored machine learning roles in the state, making Florida a genuine destination for international ML professionals seeking visa sponsorship.
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Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.
- Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.
- Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.
- Develop AI agents and workflow components using LangChain v1 and LangGraph.
- Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.
- Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.
- Build document validation, financial data extraction, summarization, classification, and analysis components.
- Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.
- Develop REST APIs and backend services using FastAPI or an equivalent Python framework.
- Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.
- Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.
- Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.
- Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.
Qualifications
Programming and software engineering
- 4–5 years of professional software development experience, with strong hands-on Python proficiency.
- Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.
- Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
Generative AI and machine learning
- Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.
- Understanding of transformers, embeddings, tokenization, semantic search, and model inference.
- Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred.
- Experience with prompt design, structured generation, function/tool calling, and output validation.
- Ability to measure and improve AI quality rather than relying solely on subjective demonstrations.
Cloud and engineering practices
- Experience with Azure or another major cloud platform; Azure experience is preferred.
- Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing.
- Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors.
Preferred Qualifications
- Experience with Azure AI Search, hybrid search, reranking, or vector databases.
- Experience building AI agents that call enterprise APIs and tools.
- Familiarity with Model Context Protocol (MCP).
- Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines.
- Experience in banking, financial services, lending, fraud, or another regulated industry.
- Familiarity with responsible AI, data privacy, and auditability.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits!
Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.
About us
Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We’re entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us!
Overview
City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.
- Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.
- Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.
- Develop AI agents and workflow components using LangChain v1 and LangGraph.
- Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.
- Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.
- Build document validation, financial data extraction, summarization, classification, and analysis components.
- Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.
- Develop REST APIs and backend services using FastAPI or an equivalent Python framework.
- Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.
- Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.
- Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.
- Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.
Qualifications
Programming and software engineering
- 4–5 years of professional software development experience, with strong hands-on Python proficiency.
- Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.
- Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
Generative AI and machine learning
- Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.
- Understanding of transformers, embeddings, tokenization, semantic search, and model inference.
- Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred.
- Experience with prompt design, structured generation, function/tool calling, and output validation.
- Ability to measure and improve AI quality rather than relying solely on subjective demonstrations.
Cloud and engineering practices
- Experience with Azure or another major cloud platform; Azure experience is preferred.
- Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing.
- Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors.
Preferred Qualifications
- Experience with Azure AI Search, hybrid search, reranking, or vector databases.
- Experience building AI agents that call enterprise APIs and tools.
- Familiarity with Model Context Protocol (MCP).
- Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines.
- Experience in banking, financial services, lending, fraud, or another regulated industry.
- Familiarity with responsible AI, data privacy, and auditability.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Benefits & Perks
We offer a competitive benefits package designed to support your success:
- Health Coverage: Medical, dental, and vision plans with employer contributions.
- Retirement Savings: 401(k) with matching.
- Paid Time Off & Holidays: Generous PTO and paid holidays.
- Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits!
Join City National Bank of Florida. The possibilities are endless.
Special Information To Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.
Machine Learning Job Roles in Florida
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Search Machine Learning Jobs in FloridaMachine Learning Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Florida?
Florida employers with a track record of sponsoring machine learning professionals include Lockheed Martin in Orlando, Chewy in Dania Beach, AdventHealth, and various fintech firms headquartered in Miami. Defense contractors and aerospace companies concentrated along the Space Coast also regularly file H-1B visa petitions for machine learning and AI engineering roles. Sponsorship patterns vary by company size and hiring cycle, so researching individual employer LCA filings through the DOL OFLC disclosure database gives the most accurate picture.
Which visa types are most common for machine learning roles in Florida?
The H-1B is the most common visa for machine learning roles in Florida, as these positions typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability in AI or ML research may also pursue the O-1A. Australians are eligible for the E-3 visa, which has no lottery and allows annual renewals, making it a practical alternative when H-1B selection is uncertain.
Which cities in Florida have the most machine learning sponsorship jobs?
Miami leads Florida for machine learning sponsorship activity, driven by fintech, healthtech, and a growing startup ecosystem. Orlando follows closely, with defense contractors, simulation companies, and the University of Central Florida's research pipeline feeding demand for ML talent. Tampa has expanded its data and analytics hiring base in recent years. Jacksonville and Gainesville also see machine learning opportunities, particularly in healthcare IT and university-affiliated research settings.
How to find machine learning visa sponsorship jobs in Florida?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Florida by visa sponsorship availability, so you're not sorting through listings from employers who won't sponsor. The platform covers positions across Miami, Orlando, Tampa, and other Florida metros. Because sponsorship willingness isn't always stated in job postings, using a purpose-built tool like Migrate Mate saves significant time compared to general job searching.
Are there state-specific considerations for machine learning professionals seeking sponsorship in Florida?
Florida has no state income tax, which affects prevailing wage comparisons since DOL wage determinations are based on local labor market data rather than cost-of-living adjustments. Machine learning roles in Florida's defense and aerospace sector may require security clearances, which can complicate or restrict sponsorship for some visa categories. Florida's university system, including the University of Florida and University of Central Florida, also produces a steady pipeline of ML graduates that employers draw from, influencing local hiring competition.
What is the prevailing wage for sponsored machine learning jobs in Florida?
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.