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H1B Machine Learning Jobs in Florida (NOW HIRING)

Proficiency and experience with machine learning & deep learning models * Proficiency and ... such as H1B, STEM, or F1, now and in the future. New College of Florida (NCF) is an equal ...

Data architect (GC-USC)

Tampa, FL

$60.25 - $77.50/hr

... Machine Learning, Docker, Microservices architecture, and JavaScript Qualifications ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

H1B Machine Learning information

What are some common challenges H1B Machine Learning professionals face when adapting to a new work environment in the U.S.?

H1B Machine Learning professionals often encounter challenges such as adjusting to new workplace cultures, navigating different communication styles, and understanding expectations for collaboration and project ownership. Additionally, they may need to quickly familiarize themselves with the company’s tech stack and agile workflows while maintaining compliance with visa-related documentation. Building strong relationships with colleagues and proactively seeking mentorship can help ease the transition and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer on an H1B visa, and why are they important?

To thrive as a Machine Learning Engineer on an H1B visa, you generally need a strong background in computer science, mathematics, and statistics, typically demonstrated by a relevant degree and practical experience. Proficiency in programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, while certifications like AWS Certified Machine Learning may be advantageous. Strong problem-solving abilities, effective communication, and adaptability help you collaborate across diverse teams and rapidly evolving projects. These skills and qualifications are vital for delivering impactful ML solutions and meeting the rigorous expectations of U.S. employers sponsoring H1B visas.

What is an H1B Machine Learning job?

An H1B Machine Learning job refers to a position in the field of machine learning offered by a U.S. employer to a foreign worker who is authorized to work in the United States under the H1B visa program. These jobs typically involve designing, developing, and deploying algorithms that enable computers to learn from data. H1B Machine Learning professionals may work on projects such as natural language processing, computer vision, or predictive analytics. Employers must sponsor the H1B visa, and the worker must have specialized knowledge and at least a bachelor's degree in a related field.

What is the difference between H1B Machine Learning vs H1B Data Scientist?

AspectH1B Machine LearningH1B Data Scientist
Required CredentialsDegree in CS, ML, or related field; certifications like TensorFlow, AWSDegree in CS, Statistics, or related; certifications in data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsBusiness analytics, data analysis teams, consulting firms
Employer & Industry UsageTech firms, AI startups, R&D departmentsFinance, healthcare, e-commerce, consulting
Common Search & ComparisonYesYes

H1B Machine Learning and H1B Data Scientist roles often overlap in credentials and industry usage. Machine Learning specialists focus on developing algorithms and models, while Data Scientists analyze data to derive insights. Both roles are in high demand across tech and industry sectors, but their core responsibilities differ slightly, making them distinct yet related career paths.

What cities in Florida are hiring for H1B Machine Learning jobs? Cities in Florida with the most H1B Machine Learning job openings:

Full-time

Posted 13 days ago


Job description

Salary: Negotiable
Location : Sarasota, Florida, United States
Job Type: Full-Time
Job Number: 00870
Division: Finance and Administration
Opening Date: 07/10/2026
Closing Date: Continuous
Description
This position will be responsible for data analysis, statistical modeling, visualizations, and data engineering to support data insights for the campus.
Examples of Duties
  • Extract and analyze data from the Banner ERP system and related data sources to fulfill internal data requests
  • Develop modeling frameworks for prediction, classification, and similar goals, utilizing machine learning models and artificial intelligence tools when appropriate
  • Design and develop dashboards, reports, and visualization using Power BI or other approved data visualization tools
  • Identify opportunities for enhancing data assets and propose innovative solutions
  • Translate business needs into technical solutions and provide data-driven recommendations
  • Collaborate with cross-functional teams to gather requirements and understand business challenges
  • Develop and maintain data models, data definitions, and documentation
  • Ensure data accuracy, integrity, and consistency across reports and systems
  • Automate and optimize recurring reports and analytical processes
  • Monitor key performance indicators (KPIs) and provide regular updates to stakeholders
  • Support data governance and compliance initiatives
  • Other duties as assigned

Minimum Qualifications
  • Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field
  • Proficiency and experience with statistics and predictive analytics
  • Proficiency and experience with machine learning & deep learning models
  • Proficiency and experience with Python, R, SQL
  • Strong analytical and problem-solving skills
  • Excellent communication skills with the ability to present complex data in a clear and concise manner

Preferred Qualifications
  • Proficiency and experience with business intelligence tools

All candidates must be legally authorized to work in the United States without requiring immigration sponsorship, including but not limited to non-immigrant visas, such as H1B, STEM, or F1, now and in the future.
New College of Florida (NCF) is an equal opportunity employer and educational provider committed to a policy of non-discrimination for any member of the NCF community on the basis of race, creed, color, sex, religion, national origin, age, disability, genetic information, veterans' status, marital status, or any other legally protected group status. This policy applies to faculty, staff, students, volunteers, visitors, applicants, and contractors in a manner consistent with applicable laws, regulations, ordinances, orders, and University policies, procedures, and processes.
Benefits vary by position, please visit for more information.