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

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

Bespoke Labs

Machine Learning Engineer

Houston, TX · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

They are seeking an experienced Machine Learning Engineer to join their data science and machine ... AWS preferred) and modern MLOps practices: containerization (Docker/Kubernetes), CI/CD, data ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Cloud (AWS) and containerization (Docker) experience. Nice-to-Have (Preferred Experience)

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

... AWS certified in Machine Learning Specialty Company : Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · 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 ...

Innovcentric LLC

AI Architect

Houston, TX · On-site

$90/hr

... AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

Ideally AWS certified in Machine Learning Specialty Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role. Recruitment Fraud It has come to our attention ...

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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 Jul 27, 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 job?

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 are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

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.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

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 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 July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,163 per year, or $66.9 per hour.
MLOpsEngineer (Databricks/AWS)

MLOpsEngineer (Databricks/AWS)

Inabia Software & Consulting Inc.

Texas City, TX • On-site

Other

Posted 9 days ago

Job description

Required Skills
  • Strong hands-on experience with Databricks Machine Learning
  • Proficiency in Python, PySpark, and SQL for developing and operationalizing machine learning solutions.
  • Hands-on experience with MLflow for experiment tracking, model registry, model versioning, and model lifecycle management.
  • Experience deploying and managing machine learning models using Databricks Model Serving and batch inference pipelines.
  • Strong understanding of the end-to-end ML lifecycle, including feature engineering, model training, validation, deployment, monitoring, and retraining.
  • Experience building scalable ML pipelines using Databricks Workflows and Delta Lake.
  • Hands-on experience with AWS services such as S3, IAM, EC2, Lambda, ECR, ECS/EKS, CloudWatch, and Secrets Manager.
  • Experience implementing CI/CD pipelines for Databricks and ML workloads using Git, Bitbucket, Jenkins, and Databricks Asset Bundles (DAB).
  • Experience with infrastructure automation using Terraform (Infrastructure as Code).
  • Strong understanding of Apache Spark architecture, optimization, and distributed data processing.
  • Experience working with Unity Catalog for governance, security, and access management.
  • Knowledge of model monitoring, data drift detection, model performance monitoring, and automated retraining strategies.
  • Understanding of MLOps best practices, including reproducibility, versioning, testing, and governance.
  • Strong collaboration skills to work with Data Scientists, Data Engineers, and Platform Engineering teams.
  • Excellent analytical, problem-solving, and communication skills.
Roles & Responsibilities
  • Design, develop, and maintain end-to-end MLOps pipelines on Databricks running on AWS.
  • Build and automate machine learning workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
  • Deploy and manage ML models using MLflow Model Registry and Databricks Model Serving.
  • Develop and maintain CI/CD pipelines for ML solutions across development, staging, and production environments.
  • Collaborate with Data Scientists to productionize machine learning models and ensure reliable deployments.
  • Monitor model health, prediction quality, data drift, and system performance, and implement retraining strategies where required.
  • Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Implement Infrastructure as Code (Terraform) for provisioning and managing Databricks and AWS resources.
  • Ensure platform security, governance, and compliance using Unity Catalog and AWS IAM.
  • Troubleshoot production issues, perform root cause analysis, and continuously improve platform reliability.
  • Document MLOps processes, deployment standards, and operational best practices.

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