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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Get Access To All JobsJob Req Id:
26951762
Location(s):
Jacksonville, Florida, United States
Job Type:
Hybrid
Posted:
Apr. 07, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
We are seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer with a robust background in Python, Java, database technologies, cloud platforms, and CI/CD DevOps practices to join our Engineering Excellence and Transformation organization. In this critical role, you will be at the forefront of designing, developing, and integrating cutting-edge AI/ML and Agentic AI solutions, including advanced AI assistant tools, to revolutionize engineering processes and drive significant operational improvements across our enterprise. You will leverage your comprehensive technical expertise to build scalable, resilient, and high-performance AI systems from conception to deployment, fostering a culture of innovation and continuous delivery.
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated AI/ML, Generative AI, and Agentic AI solutions, including AI assistant tools, in close collaboration with AI architects, product owners, and cross-functional engineering teams within the Engineering Excellence framework.
- Architect and develop end-to-end AI systems, leveraging both Python for machine learning workflows and Java for scalable enterprise-grade backend services, ensuring seamless integration with existing and new applications.
- Design and implement intelligent agentic systems that exhibit autonomous decision-making capabilities, enabling advanced automation and self-optimizing processes.
- Develop, fine-tune, and optimize Large Language Models (LLMs) using both parameter-efficient techniques and full fine-tuning, focusing on their integration into robust, production-ready systems supported by both Python and Java components.
- Drive the implementation and experimentation with advanced generative AI methods such as prompt engineering and Retrieval-Augmented Generation (RAG), ensuring their effective deployment and performance in enterprise environments.
- Own the deployment pipeline for AI models and associated services, leveraging CI/CD methodologies, containerization (Docker), and orchestration (Kubernetes) on leading cloud platforms (AWS, Azure, GCP) to ensure secure, scalable, and automated releases.
- Apply deep knowledge of database technologies (SQL and NoSQL) to design efficient data storage, retrieval, and management strategies for AI applications, ensuring data integrity and performance.
- Contribute to the establishment and enforcement of engineering best practices, architectural patterns, and tooling standards for full-stack AI development, advocating for maintainability, observability, and cost-efficiency.
- Stay abreast of the latest advancements in AI/ML, Agentic AI, cloud technologies, and DevOps trends, proactively sharing knowledge and driving adoption of innovative solutions.
- Ensure strict adherence to ethical AI guidelines, data privacy regulations, and compliance standards throughout the entire AI solution lifecycle.
- Act as a mentor for junior engineers, providing expert guidance on Python, Java, cloud technologies, and CI/CD best practices, fostering a culture of technical excellence and continuous improvement.
Required Technical Skills:
-
Polyglot Programming Expertise:
-
Python: Expert proficiency in Python for AI/ML development, including data manipulation (Pandas), scientific computing (NumPy), and machine learning frameworks.
-
Java: Strong proficiency in Java (e.g., Spring Boot, Microservices, Enterprise Integration Patterns, RESTful APIs) for building scalable, high-performance, and resilient enterprise applications.
-
AI/ML & Agentic AI:
-
Extensive experience with Generative AI, Agentic AI principles, and the development of AI assistant tools.
- Hands-on experience with LLMs and fine-tuning methods (e.g., LoRA, QLoRA, Adapter/Prefix Tuning, instruction tuning).
- Practical knowledge of model optimization techniques (e.g., compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
- Proficient in prompt engineering, prompt design tools/frameworks, and building robust RAG systems (hybrid search, multi-vector retrieval).
- Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
- Strong skills in Natural Language Processing (NLP) techniques (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
-
Familiarity with generative AI tools and libraries like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (e.g., OpenAI, Gemini, Claude, AWS Bedrock).
-
Database Technologies:
-
Solid experience with both SQL (e.g., PostgreSQL, Oracle, MySQL) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB) databases, including schema design, query optimization, and integration with applications.
-
Cloud Platforms:
-
Extensive hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including services for compute, storage, networking, AI/ML, and data.
-
CI/CD & DevOps:
-
Strong understanding and practical experience with CI/CD pipelines, automated testing, infrastructure as code (IaC), and configuration management.
- Expertise with containerization (Docker) and orchestration (Kubernetes, OpenShift).
-
Familiarity with monitoring, logging, and alerting tools for production systems.
-
Security & Compliance:
-
Solid understanding of AI compliance, guardrails, Responsible AI practices, and enterprise security standards within a highly regulated environment.
Required Soft Skills:
- Exceptional collaboration and communication skills, capable of effectively bridging the gap between diverse technical teams (AI/ML, Java, DevOps, Cloud) and non-technical stakeholders.
- Proactive and analytical problem-solver, adept at navigating complex technical challenges and driving innovative, cross-domain solutions in a dynamic environment.
- Ability to clearly articulate complex technical concepts, designs, and solutions to diverse audiences, both technical and non-technical.
- Strong passion for continuous learning, innovation, and mentoring, contributing significantly to a culture of technical excellence and organizational transformation.
Qualifications:
At least 6+ years of progressive experience in software engineering and AI/ML development, with a minimum of 5 years specifically focused on Generative AI, Agentic AI, and full-stack AI solutions. Demonstrated portfolio of successful, impactful projects leveraging Python, Java, cloud services, and CI/CD/DevOps practices in an enterprise setting. Extensive experience working with large-scale distributed systems and architecting solutions for high availability and performance.
Education:
Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field.
Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Jacksonville Florida United States
Primary Location Full Time Salary Range:
$125,600.00 - $188,400.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
abr 14, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Job Req Id:
26951762
Location(s):
Jacksonville, Florida, United States
Job Type:
Hybrid
Posted:
Apr. 07, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
We are seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer with a robust background in Python, Java, database technologies, cloud platforms, and CI/CD DevOps practices to join our Engineering Excellence and Transformation organization. In this critical role, you will be at the forefront of designing, developing, and integrating cutting-edge AI/ML and Agentic AI solutions, including advanced AI assistant tools, to revolutionize engineering processes and drive significant operational improvements across our enterprise. You will leverage your comprehensive technical expertise to build scalable, resilient, and high-performance AI systems from conception to deployment, fostering a culture of innovation and continuous delivery.
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated AI/ML, Generative AI, and Agentic AI solutions, including AI assistant tools, in close collaboration with AI architects, product owners, and cross-functional engineering teams within the Engineering Excellence framework.
- Architect and develop end-to-end AI systems, leveraging both Python for machine learning workflows and Java for scalable enterprise-grade backend services, ensuring seamless integration with existing and new applications.
- Design and implement intelligent agentic systems that exhibit autonomous decision-making capabilities, enabling advanced automation and self-optimizing processes.
- Develop, fine-tune, and optimize Large Language Models (LLMs) using both parameter-efficient techniques and full fine-tuning, focusing on their integration into robust, production-ready systems supported by both Python and Java components.
- Drive the implementation and experimentation with advanced generative AI methods such as prompt engineering and Retrieval-Augmented Generation (RAG), ensuring their effective deployment and performance in enterprise environments.
- Own the deployment pipeline for AI models and associated services, leveraging CI/CD methodologies, containerization (Docker), and orchestration (Kubernetes) on leading cloud platforms (AWS, Azure, GCP) to ensure secure, scalable, and automated releases.
- Apply deep knowledge of database technologies (SQL and NoSQL) to design efficient data storage, retrieval, and management strategies for AI applications, ensuring data integrity and performance.
- Contribute to the establishment and enforcement of engineering best practices, architectural patterns, and tooling standards for full-stack AI development, advocating for maintainability, observability, and cost-efficiency.
- Stay abreast of the latest advancements in AI/ML, Agentic AI, cloud technologies, and DevOps trends, proactively sharing knowledge and driving adoption of innovative solutions.
- Ensure strict adherence to ethical AI guidelines, data privacy regulations, and compliance standards throughout the entire AI solution lifecycle.
- Act as a mentor for junior engineers, providing expert guidance on Python, Java, cloud technologies, and CI/CD best practices, fostering a culture of technical excellence and continuous improvement.
Required Technical Skills:
-
Polyglot Programming Expertise:
-
Python: Expert proficiency in Python for AI/ML development, including data manipulation (Pandas), scientific computing (NumPy), and machine learning frameworks.
-
Java: Strong proficiency in Java (e.g., Spring Boot, Microservices, Enterprise Integration Patterns, RESTful APIs) for building scalable, high-performance, and resilient enterprise applications.
-
AI/ML & Agentic AI:
-
Extensive experience with Generative AI, Agentic AI principles, and the development of AI assistant tools.
- Hands-on experience with LLMs and fine-tuning methods (e.g., LoRA, QLoRA, Adapter/Prefix Tuning, instruction tuning).
- Practical knowledge of model optimization techniques (e.g., compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
- Proficient in prompt engineering, prompt design tools/frameworks, and building robust RAG systems (hybrid search, multi-vector retrieval).
- Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
- Strong skills in Natural Language Processing (NLP) techniques (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
-
Familiarity with generative AI tools and libraries like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (e.g., OpenAI, Gemini, Claude, AWS Bedrock).
-
Database Technologies:
-
Solid experience with both SQL (e.g., PostgreSQL, Oracle, MySQL) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB) databases, including schema design, query optimization, and integration with applications.
-
Cloud Platforms:
-
Extensive hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including services for compute, storage, networking, AI/ML, and data.
-
CI/CD & DevOps:
-
Strong understanding and practical experience with CI/CD pipelines, automated testing, infrastructure as code (IaC), and configuration management.
- Expertise with containerization (Docker) and orchestration (Kubernetes, OpenShift).
-
Familiarity with monitoring, logging, and alerting tools for production systems.
-
Security & Compliance:
-
Solid understanding of AI compliance, guardrails, Responsible AI practices, and enterprise security standards within a highly regulated environment.
Required Soft Skills:
- Exceptional collaboration and communication skills, capable of effectively bridging the gap between diverse technical teams (AI/ML, Java, DevOps, Cloud) and non-technical stakeholders.
- Proactive and analytical problem-solver, adept at navigating complex technical challenges and driving innovative, cross-domain solutions in a dynamic environment.
- Ability to clearly articulate complex technical concepts, designs, and solutions to diverse audiences, both technical and non-technical.
- Strong passion for continuous learning, innovation, and mentoring, contributing significantly to a culture of technical excellence and organizational transformation.
Qualifications:
At least 6+ years of progressive experience in software engineering and AI/ML development, with a minimum of 5 years specifically focused on Generative AI, Agentic AI, and full-stack AI solutions. Demonstrated portfolio of successful, impactful projects leveraging Python, Java, cloud services, and CI/CD/DevOps practices in an enterprise setting. Extensive experience working with large-scale distributed systems and architecting solutions for high availability and performance.
Education:
Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field.
Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Jacksonville Florida United States
Primary Location Full Time Salary Range:
$125,600.00 - $188,400.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
abr 14, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Machine Learning Job Roles in Florida
See all 79+ Machine Learning Jobs 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 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, 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.
See which machine learning employers are hiring and sponsoring visas in Florida right now.
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