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Remote Machine Learning Visa Sponsorship Jobs in Boca Raton, FL

Centene

Sales Representative (Medicare)

Plantation, FL · On-site +1

$48K - $82K/yr

S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and ... This is a remote, field-based role, and requires community outreach, member engagement, and ...

Centene

Sales Representative (Medicare)

Sunrise, FL · On-site +1

$48K - $82K/yr

S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and ... This is a remote, field-based role, and requires community outreach, member engagement, and ...

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All JobsMachine Learning Visa Sponsorship JobsRemote Machine Learning Visa Sponsorship JobsRemote Machine Learning Visa Sponsorship Jobs in Boca Raton, FL

Remote Machine Learning Visa Sponsorship information

See Boca Raton, FL salary details

$79.2K

$120.5K

$162.3K

How much do remote machine learning visa sponsorship jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote machine learning visa sponsorship in Boca Raton, FL is $120,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $136,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning visa sponsorship?

A Remote Machine Learning Visa Sponsorship job is a position in the field of machine learning that allows you to work from any location while the employer supports your application for a work visa. These jobs typically involve developing algorithms and models for tasks such as data analysis, natural language processing, or computer vision. Employers who offer visa sponsorship help qualified international candidates with the legal process required to work in a different country. This can include filing necessary paperwork, covering visa fees, and sometimes assisting with relocation. Remote roles provide flexibility, making it possible to collaborate with international teams without being physically present in the company’s office.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To excel as a Remote Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning frameworks. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of version control systems, is crucial. Strong problem-solving skills, self-motivation, and effective remote communication make candidates stand out in distributed teams. These skills are essential for building robust machine learning models, collaborating across time zones, and delivering results in a dynamic, global work environment.

What are some common challenges faced by remote machine learning engineers working under visa sponsorship, and how can they be addressed?

Remote machine learning engineers on visa sponsorship often face unique challenges such as managing time zone differences with global teams, ensuring effective communication despite cultural and language barriers, and navigating complex legal and administrative visa requirements. Being proactive about clarifying expectations, leveraging collaboration tools, and maintaining regular communication with both team members and HR/legal departments can help address these obstacles. Additionally, staying organized and informed about visa compliance can reduce stress and ensure a smooth employment experience.

What is the difference between Remote Machine Learning Visa Sponsorship vs Remote Data Scientist Visa Sponsorship?

AspectRemote Machine Learning Visa SponsorshipRemote Data Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentDeveloping ML models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, communicating insights to stakeholders
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, e-commerce, consulting firms

Both roles often require advanced degrees and involve working with data, but Machine Learning roles focus more on developing algorithms and models, while Data Scientist roles emphasize data analysis and insights. Visa sponsorship options are similar, but the specific job functions differ slightly.

What are popular job titles related to Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL?

For Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL look for?

The top searched job categories for Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Remote Machine Learning Visa Sponsorship jobs?

Cities near Boca Raton, FL with the most Remote Machine Learning Visa Sponsorship job openings:

Remote Machine Learning Visa Sponsorship jobs near you
Infographic showing various Remote Machine Learning Visa Sponsorship job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,548 per year, or $58 per hour.

Full Stack Engineer ID80989

AgileEngine

Boca Raton, FL • On-site, Remote

Contractor

Re-posted 2 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Full Stack Engineer to build and maintain features across a production healthcare platform, working with a modern technology stack including React, Next.js, TypeScript, Node.js, PostgreSQL, and RPC-based services. You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and collaborate closely with product, QA, and design teams in an Agile environment. This is a US-based, remote-friendly contract-to-hire opportunity for high-performing engineers.

WHAT YOU WILL DO
- Build and maintain full-stack features across the frontend using React, Next.js, and TypeScript.
- Develop backend services using Node.js, PostgreSQL, and RPC-based architectures.
- Contribute to AI and LLM-adjacent codebases.
- Work with systems that handle sensitive and regulated healthcare data.
- Collaborate closely with product, QA, and design teams in an Agile environment.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of professional full-stack software engineering experience, with strong expertise in either frontend or backend development.
- Experience working with or willingness to work on AI/ML-adjacent codebases, including LLM or agent systems.
- Experience building systems that handle sensitive or regulated data, such as healthcare or fintech, is preferred.
- Strong sense of ownership and commitment to solving complex engineering challenges.
- Experience using remote collaboration tools such as GitHub, Slack, and JIRA.
- Strong communication and interpersonal skills.
- Excellent attention to detail and commitment to software quality.
- Strong software engineering foundation.
- Upper-intermediate English level.

NICE TO HAVES
- Experience working in the healthcare domain.

PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location