AI ML Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest markets in the U.S. for AI/ML engineer visa sponsorship, driven by a dense concentration of federal contractors, defense tech firms, and cloud infrastructure companies across Northern Virginia, Arlington, and Reston. Major employers including Booz Allen Hamilton, Leidos, Amazon Web Services, and Capital One actively hire and sponsor international AI/ML talent.
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Get Access To All JobsJob Title: Machine Learning Engineer & AI Platform Developer - 10+ years experience
Location: Remote
Type: Full-Time
Job Description:
We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.
Key Responsibilities:
- Design and develop machine learning models and AI platforms to solve complex problems.
- Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
- Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
- Collaborate with cross-functional teams to integrate machine learning models into existing applications.
- Optimize and monitor model performance, making improvements as necessary.
- Stay current with emerging AI technologies and best practices to drive continuous improvement.
- Document processes, code, and model performance for future reference.
Requirements Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
- Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Solid understanding of algorithms, data structures, and software engineering principles.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced environment.
Job Title: Machine Learning Engineer & AI Platform Developer - 10+ years experience
Location: Remote
Type: Full-Time
Job Description:
We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.
Key Responsibilities:
- Design and develop machine learning models and AI platforms to solve complex problems.
- Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
- Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
- Collaborate with cross-functional teams to integrate machine learning models into existing applications.
- Optimize and monitor model performance, making improvements as necessary.
- Stay current with emerging AI technologies and best practices to drive continuous improvement.
- Document processes, code, and model performance for future reference.
Requirements Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
- Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Solid understanding of algorithms, data structures, and software engineering principles.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced environment.
AI ML Engineer Job Roles in Virginia
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Search AI ML Engineer Jobs in VirginiaAI ML Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Virginia?
Northern Virginia's tech corridor is home to several of the most active sponsors for AI/ML roles. Amazon Web Services (Herndon), Capital One (McLean), Booz Allen Hamilton (McLean), Leidos (Reston), and Palantir have all filed H-1B visa petitions for AI and machine learning engineers. Defense and intelligence contractors are particularly active given Virginia's proximity to federal agencies, making it one of the more concentrated sponsorship markets in the country.
Which visa types are most common for AI/ML engineer roles in Virginia?
The H-1B is by far the most common visa category for AI/ML engineers in Virginia, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with extraordinary ability may also pursue the O-1A. Those transferring within a multinational company may qualify for an L-1B. Australians have the additional option of the E-3 visa, which has no lottery.
Which cities in Virginia have the most AI/ML engineer sponsorship jobs?
Northern Virginia dominates, with McLean, Reston, Herndon, Arlington, and Tysons Corner accounting for the large majority of AI/ML sponsorship activity. This corridor sits at the heart of the Data Center Alley and benefits from proximity to federal agencies and defense contractors. Richmond has a smaller but growing presence, particularly in fintech and healthcare AI. Remote-eligible roles headquartered in Virginia also appear frequently in this market.
How to find ai ml engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse AI/ML engineer roles in Virginia without sifting through postings that don't support international candidates. The platform is built for this use case, covering roles across Northern Virginia's tech and defense corridor as well as Richmond. Searching by role and state on Migrate Mate surfaces employers who have a documented history of sponsoring work visas for AI and ML positions.
Are there any state-specific considerations for AI/ML engineers seeking sponsorship in Virginia?
Virginia's heavy concentration of federal contractors introduces a practical factor: many AI/ML roles require security clearances, which are generally only available to U.S. citizens or permanent residents. This limits the number of open positions that are accessible to visa holders, so it's worth filtering for commercial or non-cleared roles early in your search. The presence of major research universities like Virginia Tech and George Mason also creates a pipeline that employers draw from, meaning competition for sponsored roles can be significant.
What is the prevailing wage for sponsored ai ml engineer jobs in Virginia?
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.