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Machine Learning Visa Sponsorship Jobs in Texas (NOW HIRING)

Q2

Machine Learning Engineer

Austin, TX · Hybrid

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... We are unable to sponsor or take over sponsorship of an employment Visa at this time.***Health ...

PayPal

Machine Learning Engineer

Austin, TX

$117K - $138K/yr

This job will assist in designing, developing, and implementing machine learning models and ... Visa Sponsorship through PayPal is not available for this position now or any time in the future.

New

Vanguard

Manager, Machine Learning Engineer

Dallas, TX

$101K - $133K/yr

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and ... Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About ...

Q2

Machine Learning Engineer

Austin, TX

As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role . Please do not apply for this role if at any ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site

$143K - $273K/yr

The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ... USAA does not provide visa sponsorship for this role . Please do not apply for this role if at any ...

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Machine Learning Visa Sponsorship information

What is a machine learning visa sponsorship?

A Machine Learning Visa Sponsorship job is a role in the field of machine learning where an employer is willing to sponsor a work visa for a qualified candidate. These jobs are typically offered by companies facing a shortage of local talent and seeking skilled professionals from other countries. Sponsorship can cover visas such as the H-1B (U.S.), Skilled Worker visa (UK), or other work permits depending on the country. Candidates usually need strong expertise in machine learning, AI, data science, or related fields. Employers may also assist with relocation and legal work authorization processes.

What do machine learning professionals do in companies offering visa sponsorship?

As a Machine Learning professional in a visa-sponsored role, you’ll typically work on projects involving data preprocessing, developing and training models, and deploying solutions to solve real-world business problems. Your daily responsibilities may include collaborating with data engineers and domain experts, conducting experiments, optimizing algorithms, and communicating findings to both technical and non-technical stakeholders. Teams are often international and diverse, providing valuable cross-cultural experience and opportunities for personal growth. Many companies also encourage ongoing learning and offer pathways to progress into senior or specialized roles, making this a great environment to advance your career.

What skills and qualifications are needed for machine learning visa sponsorship?

To thrive in a Machine Learning role with visa sponsorship, candidates typically need a strong background in computer science, statistics, and mathematics, often supported by a relevant degree or equivalent experience. Proficiency with programming languages such as Python or R, experience with popular machine learning libraries (like TensorFlow, PyTorch, or scikit-learn), and familiarity with cloud computing platforms are commonly required, as are certifications like AWS Certified Machine Learning. Strong problem-solving abilities, communication skills, and the ability to collaborate effectively in diverse teams help candidates stand out. These skills are critical for building robust, scalable machine learning solutions while working efficiently in international and multidisciplinary environments.

What are the most commonly searched types of Machine Learning Visa Sponsorship jobs in Texas?

The most popular types of Machine Learning Visa Sponsorship jobs in Texas are:

What are popular job titles related to Machine Learning Visa Sponsorship jobs in Texas?

For Machine Learning Visa Sponsorship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Machine Learning Visa Sponsorship jobs in Texas look for?

The top searched job categories for Machine Learning Visa Sponsorship jobs in Texas are:

What cities in Texas are hiring for Machine Learning Visa Sponsorship jobs?

Cities in Texas with the most Machine Learning Visa Sponsorship job openings:

Machine Learning Visa Sponsorship jobs near you
Infographic showing various Machine Learning Visa Sponsorship job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Q2

Austin, TX • Hybrid

Full-time

Medical

Re-posted 15 days ago

Key responsibilities

  • Design and implement machine learning algorithms and models for various business applications.

  • Collaborate with cross-functional teams to integrate AI solutions into production environments.

  • Analyze large datasets to extract meaningful insights and support data-driven decisions.

Job description

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.


What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.


SUMMARYThe Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring managerRESPONSIBILITIES Design and implement machine learning algorithms and models for various business applications Conduct research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract meaningful insights and support data-driven decisions Develop scalable machine learning pipelines and systems Maintain up-to-date knowledge of emerging AI and machine learning trends Ensure the quality and performance of AI systems through testing and validationEXPERIENCE AND KNOWLEDGE Bachelor's degree in related field and 5-8 years relevant experience Proven experience in ML model development and deployment Strong knowledge of statistics, optimization, probability theory, and experimental methodologies Proficiency in programming languages such as Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) Familiarity with cloud platforms and scalable computing resources Strong analytical, problem-solving, and collaboration skills

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off

  • Career Development & Mentoring Programs

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

  • Community Volunteering & Company Philanthropy Programs

  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.


Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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About Q2

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Austin, TX, US

Year founded

2004

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