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Machine Learning Contract Jobs in Austin, TX (NOW HIRING)

Lorven Technologies

AI/ML Engineer

Round Rock, TX · On-site

Contract(onsite) Job Summary We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve complex business and ...

Posted today

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and implement machine learning models that can operate in resource-constrained environments ... We specialize in recruiting skilled individuals for both full-time direct hires and contract ...

TigerGraph

Account Executive

Austin, TX

$150K - $160K/yr

TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph ... Experience formulating and selling large contracts Qualifications * Track record of closing sales ...

Bright Mind Solutions LLC

Senior iOS developer

Austin, TX · On-site

$55 - $60/hr

Contract Description : We are seeking a highly experienced Swift Developer with a hybrid full-stack ... Integrate AI and machine learning services, utilizing Swift APIs to interact with large language ...

Alumni Ventures

Senior Software Engineer II

Austin, TX · On-site

$100 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Hirekeyz Inc

Enterprise Architect 3

Austin, TX · On-site

$68.50 - $88.25/hr

Austin, TX (anywhere in TX) Duration: Long Term Contract CANDIDATE SKILLS AND QUALIFICATIONS ... Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data ...

Neos Consulting

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Texas Neos is Seeking a Data Architect for a contract role for with our client in Austin, TX. ** ... Develop and operationalize scalable architectures for collaborative notebooks, machine learning ...

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Showing results 21-40

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Machine Learning Contract information

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How much do machine learning contract jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning contract in Austin, TX is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $25.24 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

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

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

What are popular job titles related to Machine Learning Contract jobs in Austin, TX?

For Machine Learning Contract jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in Austin, TX look for?

The top searched job categories for Machine Learning Contract jobs in Austin, TX are:

What cities near Austin, TX are hiring for Machine Learning Contract jobs?

Cities near Austin, TX with the most Machine Learning Contract job openings:

Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $47,051 per year, or $22.6 per hour.

Sr. Manager of Colocation, Machine Learning, Data Center Supply Solutions

Amazon

Austin, TX • On-site

Full-time

Re-posted 2 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,086 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Sr. Manager of Colocation Machine Learning leads a team of individual contributors across AMER responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation partnerships. This role manages the initial stage of lifecycle of ML-focused colocation deals, from vendor identification and commercial negotiations to contract execution.

The Sr. Manager ensures operational excellence, contractual compliance, and infrastructure reliability for ML workloads while serving as an escalation point for internal stakeholders and external partners. Key responsibilities include developing internal and external partnerships, overseeing commercial transactions (New sites, Expansions, MTSAs, and amendments), and mitigating infrastructure risks specific to ML deployments.

This leader collaborates cross-functionally with Operations, Engineering, Finance, and Legal to optimize colocation strategies that support AWS' ML service scaling initiatives. The role requires deep expertise in ML infrastructure requirements, vendor management, commercial negotiations, and the ability to influence senior leadership while empowering team members to deliver continuous improvements in support of AWS customer experience.
Key job responsibilities
-Manage the commercial and operational relationships with assigned infrastructure partners
. Own cadence and content of our team's internal business review schedule, including reporting

Manage and evolve our IPM partner performance dashboards
. Support the need for reporting from our business support systems
A day in the life
-Manage commercial relationships with infrastructure partners
-Hire, cultivate, coach, and train individual contributors on the business development team
-Drive cost savings and avoidance initiatives
-Stay current on the latest engineering and technical requirements in the industry
-Serve as escalation point for internal stakeholders and external partners on ML-specific infrastructure matters
-Collaborate cross-functionally with Operations, Engineering, Security, and Product teams to optimize colocation strategies supporting AWS' ML service scaling
-Present strategy to high level leadership
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running.

We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of Business developers, engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers

And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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