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Freelance Full Stack Machine Learning Engineer Jobs in Austin, TX

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large ... Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to ...

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most ... Design, train, evaluate, and iterate on models across the full ML lifecycle, from data preparation ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

## Sr. Machine Learning EngineerApplylocations: US TX Remotetime type: Full timeposted on: Posted ... Work on full stack technology, from prototyping to production-ready software.* Work with product ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

The vehicle's compute budget is fixed and already full. Everything you add competes with everything ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop ... stack, prototype new ideas, and turn innovation into real customer value. We're looking for ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop ... stack, prototype new ideas, and turn innovation into real customer value. We're looking for ...

Full-Stack Engineer, AI-Native Platform Team Loves top schools. Atheletes Debate Winners and people that do hackathons at schools. Highly competitive team. Location: Austin, TX Work Style: Fully in ...

Showing results 41-60

Freelance Full Stack Machine Learning Engineer information

See Austin, TX salary details

$44.1K

$133.6K

$188.8K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for freelance full stack machine learning engineer in Austin, TX is $133,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $156,600.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Austin, TX?

The most popular types of Full Stack Machine Learning Engineer jobs in Austin, TX are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Austin, TX look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near Austin, TX with the most Freelance Full Stack Machine Learning Engineer job openings:

Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 25% Part Time, 7% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $133,586 per year, or $64.2 per hour.

Full-Stack Developer (AI-Augmented)

Texas Sports Academy

Austin, TX • On-site

Contractor

Re-posted 8 days ago


Job description

Texas Sports Academy is seeking a talented and passionate Full-Stack Developer (AI-Augmented) to join our innovative tech team. As a leader in the sports training industry, we leverage cutting-edge technology to enhance athletic performance, offering customizable solutions for athletes and coaches. In this role, you will be responsible for the design, development, and maintenance of our comprehensive web applications that integrate advanced AI technologies. Your expertise will help us to improve user experience, implement robust features, and ensure seamless performance across platforms. You will collaborate closely with cross-functional teams, including data scientists and UX/UI designers, to transform concepts into powerful software solutions that meet our clients' needs. The ideal candidate will have a strong passion for sports technology and a commitment to leveraging AI to revolutionize the way athletes train. With a dynamic work environment and projects that push the boundaries of sports performance, you will have the opportunity to contribute significantly to the future of athletics and play a vital role in shaping how technology integrates with sports.
Responsibilities
  • Design and develop scalable web applications utilizing various technologies across the stack.
  • Integrate AI algorithms and models to enhance user engagement and performance metrics.
  • Collaborate with data scientists and designers to conceptualize features that meet user needs.
  • Maintain and improve existing software applications to ensure optimal functionality and user experience.
  • Conduct regular code reviews and provide constructive feedback to team members.
  • Develop and implement testing strategies to ensure software reliability and performance.
  • Document processes, specifications, and code to ensure team alignment and knowledge sharing.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Proven experience as a Full-Stack Developer with a deep understanding of front-end and back-end technologies.
  • Strong proficiency in programming languages such as JavaScript, Python, or Java.
  • Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., Node.js, Django, Flask).
  • Familiarity with AI technologies and machine learning concepts.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills and the ability to convey technical information effectively.