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Aws Machine Learning Jobs in Houston, TX (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Collaborate closely with business analysts, data scientists, machine learning engineers, and ... Ensure efficient usage of AWS and Databricks resources to minimize costs while maintaining high ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an ... Experience with cloud-based AI platforms (Azure ML, AWS Sagemaker, or GCP AI Platform). * Solid ...

Deloitte

Lead Forward Deployed Engineer - AWS

Houston, TX · On-site

$97K - $128K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Houston, TX · On-site

$99K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

... AI, machine learning, and data science solutions in an industry setting. * Experience developing AI solutions in cloud environments such as Azure, AWS, or GCP. * Proficiency using software ...

Veracity Software Pvt. Ltd.

AI Lead

Houston, TX · On-site

... machine learning, deep learning, or computer vision. • Experience with Azure and AWS cloud platforms and their AI/ML services. • Familiarity with enterprise application development and full-stack ...

Soni Resources

Senior Security Engineer

Houston, TX · On-site

$109K - $149K/yr

Strong background in cloud security (Azure, AWS, and/or Google Cloud). * Hands-on experience with AI, machine learning, security analytics, or advanced detection capabilities. * Experience ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Houston, TX

Aws Machine Learning information

See Houston, TX salary details

$9

$66

$91

How much do aws machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for aws machine learning in Houston, TX is $66.91, according to ZipRecruiter salary data. Most workers in this role earn between $59.47 and $78.03 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

What are popular job titles related to Aws Machine Learning jobs in Houston, TX?

For Aws Machine Learning jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Aws Machine Learning jobs in Houston, TX look for?

The top searched job categories for Aws Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Aws Machine Learning jobs?

Cities near Houston, TX with the most Aws Machine Learning job openings:

Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 69% Full Time, 9% Part Time, and 22% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $139,163 per year, or $66.9 per hour.

Applied Scientist -- Foundation Models, SSO

Amazon

Houston, TX • On-site, Remote

Full-time

Posted 17 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,146 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

We are looking for an AI/ML Engineer to build efficient, stable foundation models for long-horizon agentic workloads. The role combines model development with systems and hardware optimization.
Qualifications
Strong background in machine learning, deep learning, transformers, and foundation models.
Experience with PyTorch, JAX, or similar frameworks.
Experience training, fine-tuning, or serving large-scale models.
Knowledge of GPU architecture, CUDA, Triton, custom kernels, or hardware-aware optimization.
Familiarity with distributed training and model parallelism.
Experience with AWS Trainium, Inferentia, Neuron SDK, TPUs, or other custom accelerators is preferred.
PhD in machine learning, computer science, electrical engineering, or a related field is preferred.
Key job responsibilities
Responsibilities
Design, train, fine-tune, and evaluate custom foundation models.
Improve model efficiency, stability, latency, throughput, and memory usage.
Build models that support planning, tool use, memory, self-correction, and multi-step task execution.
Optimize training and inference using CUDA, Triton, custom GPU kernels, and tensor operations.
Profile and resolve compute, memory, communication, and distributed-training bottlenecks.
Work with GPUs and specialized AI accelerators, including AWS Trainium and other custom tensor hardware.
Develop evaluations for model reliability and long-horizon agent performance.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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