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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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.

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.
ML Engineer Job Roles in Florida
See all 78+ ML Engineer Jobs in Florida
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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 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, 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.
See which ml engineer employers are hiring and sponsoring visas in Florida right now.
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