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Ai Machine Learning Engineer 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 scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ... AI. • At least three years of experience developing neural network-based algorithms, including ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver machine learning capabilities for customers, utilizing their technical and communication skills to ...

Yum! Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities ...

CACI

Machine Learning Engineer

San Antonio, TX · Hybrid

Machine Learning Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to ... The 35th Intelligence Squadron seeks a motivated AI/ML Engineer to develop and deploy complex ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability ...

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All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in Texas

Ai Machine Learning Engineer information

See Texas salary details

$29.3K

$120K

$180.3K

How much do ai machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai machine learning engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as an AI machine learning engineer?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

Is AI Machine Learning Engineer in demand?

AI Machine Learning Engineers are in high demand due to the growing adoption of artificial intelligence across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and job opportunities are expected to continue expanding as AI applications become more widespread.

What are popular job titles related to Ai Machine Learning Engineer jobs in Texas?

For Ai Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Machine Learning Engineer jobs in Texas look for?

The top searched job categories for Ai Machine Learning Engineer jobs in Texas are:

What cities in Texas are hiring for Ai Machine Learning Engineer jobs?

Cities in Texas with the most Ai Machine Learning Engineer job openings:

Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.

Machine Learning Engineer

Q2

Austin, TX • Hybrid

Full-time

Medical

Re-posted 13 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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