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Aws Machine Learning Jobs in Oklahoma (NOW HIRING)

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Bespoke Labs

Machine Learning Engineer

Norman, OK · On-site

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 ...

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$64

$88

How much do aws machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for aws machine learning in Oklahoma is $64.69, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $75.48 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 the most commonly searched types of Aws Machine Learning jobs in Oklahoma?

The most popular types of Aws Machine Learning jobs in Oklahoma are:

What are popular job titles related to Aws Machine Learning jobs in Oklahoma?

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

What job categories do people searching Aws Machine Learning jobs in Oklahoma look for?

The top searched job categories for Aws Machine Learning jobs in Oklahoma are:

Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Oklahoma as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 24% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $134,553 per year, or $64.7 per hour.

Applied Machine Learning Engineer

Oklahoma City, OK • On-site

ANAUTICS INC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about ANAUTICS INCexternal

Other

Posted 8 days ago

Job description

Take models from notebooks to production systems that serve real operational workflows.

Impact
  • Convert data science ideas into reliable model services.
  • Build feedback loops that improve model performance over time.
  • Help teams use AI where it creates measurable operational value.
What you'll do
  • Implement training, inference, feature, evaluation, and monitoring pipelines.
  • Work with data scientists to harden models for production use.
  • Build APIs, batch jobs, and workflows around ML capabilities.
  • Improve model reliability, latency, cost, and explainability.
What we're looking for
  • 4+ years of ML engineering or applied machine learning experience.
  • Strong Python and production software fundamentals.
  • Experience deploying models or ML-powered services.
  • U.S. Citizenship is required.
  • Must be capable of obtaining and maintaining a Top Secret security clearance.
  • Comfort working with ambiguous mission, data, and engineering problems.
  • Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
  • AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
  • AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
  • Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
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