ML Engineer Visa Sponsorship Jobs in Florida
Florida's ML engineer job market spans Miami's growing tech scene, Orlando's simulation and defense contractors, and Tampa's expanding finance and health tech sectors. Major employers like Lockheed Martin, Chewy, and AdventHealth have sponsored ML engineers in the state. Florida's lack of state income tax attracts tech talent, and its research universities feed a steady pipeline of candidates.
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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.
ML Engineer Job Roles in Florida
See all 296+ ML Engineer Jobs in Florida
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Search ML Engineer Jobs in FloridaML Engineer Jobs in Florida: Frequently Asked Questions
Which companies in Florida sponsor visas for ML engineers?
Florida has a range of employers with H-1B visa sponsorship histories for ML engineering roles. Lockheed Martin and L3Harris sponsor through their defense and aerospace divisions in Orlando. Chewy, headquartered in Plantation, has filed for ML and data science roles. Health systems like AdventHealth and academic institutions like the University of Florida also sponsor ML talent regularly.
Which visa types are most common for ML engineer roles in Florida?
The H-1B is the most common visa for ML engineers in Florida, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Australians can consider the E-3 visa, and Canadians and Mexicans may qualify under the TN visa using the engineer or mathematician classification.
Which cities in Florida have the most ML engineer visa sponsorship jobs?
Miami leads for ML sponsorship activity, driven by fintech, healthtech, and a growing startup ecosystem. Orlando is strong in defense, simulation, and tourism tech, with contractors like Lockheed Martin and Northrop Grumman present. Tampa has expanding opportunities in financial services and healthcare analytics. Gainesville and Tampa Bay also benefit from University of Florida and USF research commercialization pipelines.
How to find ml engineer visa sponsorship jobs in Florida?
Migrate Mate filters ML engineer jobs specifically by visa sponsorship availability, so you are not sifting through listings that do not apply to international candidates. Search Florida on Migrate Mate to see active ML engineer roles from employers with documented H-1B and other sponsorship histories in the state. Filtering by role and location helps you focus on employers actively hiring in Miami, Orlando, and Tampa.
Are there any Florida-specific considerations for ML engineers seeking visa sponsorship?
Florida has no state income tax, which affects prevailing wage comparisons since net compensation is higher relative to states like California or New York at equivalent gross pay. The Department of Labor's prevailing wage determination for ML engineer roles in Florida reflects metro-level data, so wages in Miami and Orlando differ from smaller markets. Florida's defense contractor concentration also means some roles require U.S. citizenship or clearance eligibility, limiting sponsorship options in that segment.
What is the prevailing wage for sponsored ml engineer 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.