Machine Learning Engineer Visa Sponsorship Jobs in Texas
Texas is one of the top states for machine learning engineer visa sponsorship, with major hiring hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, Texas Instruments, AT&T, and a growing cluster of AI-focused startups regularly sponsor international engineers. The state's tech sector spans semiconductor research, enterprise software, and energy-sector AI applications.
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Get Access To All JobsINTRODUCTION
Immediate need for a talented AI/ML Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Richardson, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID: 26-11103
Pay Range: $50/hr - $55/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
KEY RESPONSIBILITIES:
- Develop and deploy ML/AI models and IoT analytics solutions
- Work on Azure-based cloud platforms
- Build and productionize ML & GenAI solutions
- Lead and collaborate with technical teams
KEY REQUIREMENTS AND TECHNOLOGY EXPERIENCE:
- Key skills; 8–10 years overall experience, 3+ years in AI/ML
- Strong Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with Azure cloud
- ML model deployment & productionization
- Experience with LLM/GenAI solutions
- Knowledge of data pipelines
- 2+ years leadership experience
- Healthcare or regulated domain experience
- Knowledge of Responsible AI, governance, RAG, vector DBs
- Experience managing onshore/offshore teams
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, 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.
INTRODUCTION
Immediate need for a talented AI/ML Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Richardson, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID: 26-11103
Pay Range: $50/hr - $55/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
KEY RESPONSIBILITIES:
- Develop and deploy ML/AI models and IoT analytics solutions
- Work on Azure-based cloud platforms
- Build and productionize ML & GenAI solutions
- Lead and collaborate with technical teams
KEY REQUIREMENTS AND TECHNOLOGY EXPERIENCE:
- Key skills; 8–10 years overall experience, 3+ years in AI/ML
- Strong Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with Azure cloud
- ML model deployment & productionization
- Experience with LLM/GenAI solutions
- Knowledge of data pipelines
- 2+ years leadership experience
- Healthcare or regulated domain experience
- Knowledge of Responsible AI, governance, RAG, vector DBs
- Experience managing onshore/offshore teams
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, 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.
Machine Learning Engineer Job Roles in Texas
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Search Machine Learning Engineer Jobs in TexasMachine Learning Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Texas?
Several large Texas-based employers have consistent track records of sponsoring machine learning engineers, including Dell Technologies, Texas Instruments, AT&T, and ExxonMobil, which applies ML to energy operations. Austin's tech corridor also includes Amazon, Apple, and Google offices that sponsor international engineers. Defense contractors near Dallas-Fort Worth, such as Lockheed Martin and Raytheon, hire ML engineers and have sponsored work visas through their established immigration programs.
Which visa types are most common for machine learning engineer roles in Texas?
The H-1B is the most common visa category for machine learning engineers in Texas, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. Some engineers transition from F-1 OPT or STEM OPT extensions, which can provide up to three years of work authorization before H-1B sponsorship. Candidates with extraordinary research profiles may also qualify for the O-1A.
Which cities in Texas have the most machine learning engineer sponsorship jobs?
Austin leads Texas for machine learning engineer sponsorship activity, driven by its concentration of tech company campuses and AI startups. Dallas-Fort Worth follows closely, with strong demand from financial services firms, defense contractors, and telecom companies like AT&T. Houston has growing demand tied to energy-sector AI and medical research at institutions like the Texas Medical Center. San Antonio has a smaller but active market, particularly in cybersecurity and government-adjacent tech.
How to find machine learning engineer visa sponsorship jobs in Texas?
Migrate Mate lets you filter machine learning engineer roles specifically by visa sponsorship availability and state, making it straightforward to surface Texas-based employers actively hiring international candidates. Because sponsorship willingness is not always listed in standard job postings, using a platform built around that filter saves significant time. Roles in Austin, Dallas, and Houston appear frequently, and filtering by STEM-focused employers increases the likelihood of finding companies with established H-1B programs.
Are there any Texas-specific considerations for machine learning engineers seeking visa sponsorship?
Texas has no state income tax, which affects the prevailing wage calculation employers use when filing a Labor Condition Application, as wages are benchmarked to the local metropolitan area rather than adjusted for state taxes. Universities like UT Austin, Texas A&M, and Rice have strong ML research pipelines that feed directly into Texas employer sponsorship programs, making campus recruiting a meaningful channel. Texas also has a high concentration of STEM OPT-eligible employers willing to bridge candidates to H-1B sponsorship.
What is the prevailing wage for sponsored machine learning engineer jobs in Texas?
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.
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