AI ML Engineer Visa Sponsorship Jobs in Florida
Florida's AI/ML engineering market spans fintech hubs in Miami, defense and simulation contractors near Orlando, and health tech companies in Tampa. Major employers including Lockheed Martin, Chewy, and Carnival Corporation have sponsored AI and machine learning roles in the state. International candidates will find active hiring across multiple metro areas.
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Get Access To All JobsINTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy.
INTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
ABOUT THE ROLE
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy.
AI ML Engineer Job Roles in Florida
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Search AI ML Engineer Jobs in FloridaAI ML Engineer Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Florida?
Florida employers with a track record of sponsoring AI and machine learning engineers include Lockheed Martin and L3Harris in the defense sector, Chewy and Carnival Corporation in consumer and travel tech, and a growing cluster of fintech firms in Miami such as Ramp and Pipe. University-affiliated research institutions, including the University of Florida and University of Miami, also sponsor international researchers and engineers in ML-adjacent roles.
Which visa types are most common for AI/ML engineer roles in Florida?
The H-1B visa is the most common visa category for AI/ML engineers in Florida, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability or significant research output may pursue the O-1A. Some defense contractors require security clearances, which can complicate sponsorship for certain nonimmigrant categories, so it's worth confirming eligibility directly with prospective employers.
Which cities in Florida have the most AI/ML engineer sponsorship jobs?
Miami leads Florida for AI and machine learning engineering roles, driven by its fintech and tech startup growth. Orlando follows closely, with defense simulation firms and companies like Electronic Arts and AdventHealth sponsoring engineering talent. Tampa has an emerging health tech and cybersecurity sector with active ML hiring. Gainesville and the Research Triangle around the University of Florida also surface sponsorship opportunities tied to academic and commercialization programs.
How to find ai ml engineer visa sponsorship jobs in Florida?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search AI/ML engineer roles in Florida without manually screening each posting for sponsorship language. The platform surfaces employers actively hiring international candidates in cities like Miami, Orlando, and Tampa. Filtering by role and state on Migrate Mate saves significant time compared to reviewing general job boards where sponsorship status is rarely disclosed upfront.
Are there any Florida-specific considerations for AI/ML engineers seeking visa sponsorship?
Florida's defense and aerospace sector, concentrated around Orlando and the Space Coast, employs a large share of ML engineers but frequently requires U.S. security clearances, which are generally not available to nonimmigrant visa holders. This narrows the sponsorship pool in that segment. Miami's fintech and startup scene tends to be more open to international candidates. Florida also has no state income tax, which is relevant context when comparing offers across states, though prevailing wage requirements under H-1B apply regardless.
What is the prevailing wage for sponsored ai 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.