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Ai Machine Learning Engineer Jobs in Texas (NOW HIRING)

ExtendMyTeam

Machine Learning Engineer

Austin, TX

This team is investing heavily in AI-driven innovation to improve operational efficiency ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support ... and feature engineering using Python Ability to work with multiple data sources and types ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Avride

Machine Learning Engineer

Austin, TX · On-site

They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning ... AI. • At least three years of experience developing neural network-based algorithms, including ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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 ...

Q2

Machine Learning Engineer

Austin, TX · On-site

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 ...

Apple

Machine Learning Engineer

Austin, TX · On-site

... AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of new projects and craft upcoming products ...

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 ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

Perform model and AI risk governance related activities in line with enterprise risk framework, to ... engineering essential * Advanced knowledge of statistical and machine learning models (e.g ...

Avride

Machine Learning Engineer

Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background ... generative AI. * At least three years of experience developing neural network-based algorithms ...

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Showing results 1-20

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 Jul 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a senior AI or machine learning engineer, research director, or executive role that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, often in competitive tech or finance industries. Such compensation reflects significant expertise, leadership responsibilities, and impact on strategic AI initiatives.

What are the key skills and qualifications needed to thrive as an AI Machine Learning Engineer, and why are they important?

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 engineers make $500,000?

Senior AI Machine Learning Engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a strong track record, specialized certifications, and leadership responsibilities.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming, data analysis, and machine learning frameworks like TensorFlow and PyTorch to develop and deploy AI solutions, leading to strong job growth and competitive salaries in this field.

Which 3 jobs will survive AI?

AI Machine Learning Engineers are likely to continue to be in demand because they develop and refine AI models, requiring specialized skills in programming, data analysis, and domain knowledge. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist alongside AI advancements. These roles often require human judgment and adaptability that AI cannot fully replicate.

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 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.

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 June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.
Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Lockheed Martin

Grand Prairie, TX • On-site

$99K - $137K/yr

Other

Posted 14 days ago

Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 388 frontline employees who took The Breakroom Quiz

30th of 60 rated aerospace companies

Job description

You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire Control programs.


What You Will Be Doing


As the A/AI Machine Learning Engineer Sr you will be responsible for leading technical execution of highvisibility AI projects and delivering measurable value to customers.


Your responsibilities will include, but are not limited to:



  • Design, develop, and deploy AI/ML pipelines that address engineering, manufacturing, and businessoperations challenges (e.g., testpoint reduction, automated calibration, AIenhanced document search, computervision inspection).

  • Build and implement edgedeployed AI/ML solutions for classified, airgapped environments.

  • Lead crossfunctional solution teams using a consultingstyle project framework, coordinating engineering design, production, and business operations.

  • Partner directly with program customers to define valuedriven outcomes and deliver measurable results (cost, labor, yield, schedule).

  • Own the full DevOps lifecycle-CI/CD, containerization, model monitoring, and governance-for secure, highassurance AI in defense systems.


Why Join Us


We are looking for a collaborative, purposedriven professional who thrives on turning complex data into highimpact solutions that keep the warfighter safe and advance aerospace innovation. This role offers high visibility, direct influence on missioncritical programs, and a clear path for career growth within a worldclass aerospace organization.


We are committed to supporting your worklife balance and overall wellbeing, offering flexible 4day10hour schedules. Learn more about LockheedMartin's comprehensive benefits package here.


Further Information About This Opportunity


This position is in Dallas. Discover more about our Dallas, Texas location.


MUST BE A U.S. CITIZEN-This position is located at a facility that requiresspecial access. The selected candidate must be able to obtain a secretclearance. A companysponsored interim secret clearance is required to start.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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