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

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

MLOps / AI Ops Engineer

Houston, TX ยท On-site

$50.25 - $69/hr

Deploy and manage machine learning models using AWS SageMaker * Implement production ML deployment, monitoring, and support with AWS MLOps * Develop automation scripts and tools using Python

New

... 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 ...

AWS Bedrock * Vector Databases * SQL * Machine Learning Model Deployment / Production AI * Strong Communication / Client-Facing Preferred Skills * Experience with machine learning frameworks (e.g ...

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

AWS Data Architect

Houston, TX ยท On-site

$60.75 - $78.25/hr

They are seeking a skilled AWS Data Architect responsible for developing data strategies, managing ... Machine Learning, and Data Engineering, data governance and regulatory compliance, managing ...

Experience with Azure Data Factory (ADF), Azure Synapse, or AWS Glue. * Knowledge of Machine Learning and MLOps on Databricks. * Experience with streaming technologies such as Kafka and Structured ...

Senior AI/ML Engineer

Texas City, TX ยท On-site

$89K - $122K/yr

Experience with AWS, Azure, or Google Cloud Platform . * Experience with SageMaker, Azure Machine Learning, or Vertex AI . * Experience with MLOps, MLflow, Kubeflow, or Airflow . * Experience with ...

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ... Experience with cloud platforms such as AWS or Azure * Experience with Tableau, Power BI, or other ...

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker ...

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ... Experience with cloud platforms such as AWS or Azure * Experience with Tableau, Power BI, or other ...

Showing results 21-40

Aws Machine Learning information

See Houston, TX salary details

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

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

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.

Machine Learning Engineer

Bespoke Labs

The Woodlands, TX โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • 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 them into production-grade systems