Top 51 Machine learning engineer Jobs in Oklahoma City, Ok

Quality Assurance Engineer
Revenue Management Solutions LLC —Oklahoma City, OK
- Full-time
- Java
- Bachelor's degree
- No degree
AI/ML Computational Science Specialist
Accenture —Oklahoma City, OK
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Senior Engineer - Data Science
Continental Resources, Inc. —Oklahoma City, OK
- Full-time
- 5 years
- Bachelor of Science
- Pass drug screening
AI/ML Computational Science Engineer
Accenture —Oklahoma City, OK
- $24.42 - $77.88 an hour
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
3d
Data Scientist
American Fidelity Assurance —Oklahoma City, OK
- Full-time
- Hybrid work
- Java
- Master's degree
- Math
Financial Crimes Model Analyst
STRIDE BANK NA —Oklahoma City, OK
- Full-time
- Computer Science
- Mid-level
- 3 years
4d
Snowflake Advanced AI Engineer
Accenture —Oklahoma City, OK
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Senior Technical Product Manager – AI / ML
CVS Health —Oklahoma City, OK
- $106,605 - $284,280 a year
- Full-time
- Computer Science
- Master's degree
- Product management
- Health insurance
- Dental insurance
5d
Snowflake Advanced AI Solution Lead
Accenture —Oklahoma City, OK
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Staff Geophysicist
Continental Resources, Inc. —Oklahoma City, OK
- Full-time
- Pass drug screening
- Master's degree
- 8 years
Lead Software Engineer
Revenue Management Solutions LLC —Oklahoma City, OK
- Full-time
- Background check
- Bachelor of Science
- Pass drug screening
Accenture Edge for AWS Tech Practice Leader – Data and AI
Accenture —Oklahoma City, OK
- $150,900 - $369,800 a year
- Full-time
- Hybrid work
- 5 years
- Mentoring
- US work authorization
- Paid holidays
- Disability insurance
4d
Software Engineer / User Experience Applications
Northrop Grumman —Oklahoma City, OK
- $75,100 - $137,600 a year
- Overtime
- Engineering
- Mid-level
- Office
- Paid holidays
- Disability insurance
Sr. ML Ops Engineer
Expand Energy —Oklahoma City, OK
- Computer science
- Computer Science
- 5 years
Senior Geophysicist
WARWICK INVESTMENT GROUP LLC —Oklahoma City, OK
- Full-time
- Master's degree
- Databases
- 8 years
Quick Apply
10d
AI/ML SME
CACI —Tinker AFB, OK
- $94,600 - $208,000 a year
- Full-time
- 5 years
- SQL
- Analysis skills
- Health insurance
Google Agentic AI Delivery Senior Engineer
Accenture —Oklahoma City, OK
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Paid holidays
- Disability insurance
Knowledge Engineer / Semantic Expert for AI
Accenture —Oklahoma City, OK
- $68,300 - $220,400 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
Senior Geologist, Eagle Ford
WARWICK INVESTMENT GROUP LLC —Oklahoma City, OK
- Full-time
- 6 years
- Master's degree
- Databases
Quick Apply
Senior Reservoir Analyst
WARWICK INVESTMENT GROUP LLC —Oklahoma City, OK
- Full-time
- Microsoft Access
- No experience needed
- SQL
Quick Apply

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machine learning engineer jobs near oklahoma city, ok

Quality Assurance Engineer

Revenue Management Solutions LLC -
Oklahoma City, OK

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Job Details

Full-time

Qualifications

Containerization systems
CSS
Tooling
Database testing
Agile software development
Quality check automation
DevOps automation
Query management
Developer tools
Agile planning

Full Job Description

Job Description

The Quality Assurance (QA) Engineer plays a pivotal role in ensuring the quality, reliability, and performance of our web applications and AI-driven solutions. This role is responsible for designing, building, and maintaining automated test frameworks, conducting hands-on exploratory and UI/API testing, and validating non-deterministic outputs from machine learning models.

In addition to traditional QA practices, you will leverage modern containerization tools (such as Docker) to manage isolated test environments and utilize AI-assisted tools (such as Copilot, synthetic test data generators, and intelligent test execution platforms) to optimize testing workflows, improve test coverage, and accelerate release cycles.

Duties and Responsibilities

Modern Web & API Automation:

Design, develop, and maintain robust, scalable automation frameworks for modern single-page web applications (React, Angular, Vue) and microservices/REST APIs.
Integrate automated test suites into CI/CD deployment pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) for continuous validation.
Containerized Test Environments & Infrastructure:

Spin up, manage, and tear down local and cloud-based test environments using Docker containers and container orchestration tools.
Execute automated test suites inside containerized environments to ensure consistency across local, staging, and production-like setups.
AI & Model Output Testing:

Develop test strategies to validate AI/ML features, large language model (LLM) outputs, and non-deterministic application behavior for accuracy, relevancy, latency, and edge cases.
Monitor and measure AI output consistency, safety/bias guardrails, and system performance under varying prompt payloads.
AI-Driven QA Optimization:
Utilize AI-assisted development tools and intelligent QA platforms to generate test cases, synthesize realistic test data sets, and accelerate root-cause failure analysis.
Cross-Functional Collaboration:

Collaborate closely with Product Owners, Software Engineers, and Data/ML Engineers during Agile/Scrum sprints to refine requirements, acceptance criteria, and edge-case scenarios.
Participate in code reviews for test automation scripts to ensure high code quality and maintainability.
Quality Process & Defect Management:

Identify, document, prioritize, and track defects using modern issue-tracking tools (e.g., Jira).
Perform exploratory, regression, performance, and cross-browser/device testing across staging and production environments.
Assist in setting QA standards, test metrics, and best practices across the engineering organization.

Qualifications

Core Technical Requirements

Automation Frameworks: Hands-on experience with modern web automation and end-to-end testing tools (e.g., Playwright, Cypress, Selenium, or WebdriverIO).
Containerization & DevOps: Solid practical knowledge of Docker (writing Dockerfiles, using Docker Compose) for spinning up containerized applications, databases, and automated testing nodes.
API Testing: Proficiency in API testing and automation using tools like Postman, REST Assured, or HTTP clients.
Modern Web Technologies: Solid understanding of modern web architectures (HTML5, CSS3, JavaScript/TypeScript, DOM manipulation, asynchronous state management).
Programming & Scripting: Strong coding skills in at least one modern language (e.g., TypeScript/JavaScript, Python, C#, or Java).
Database Querying: Proficiency with SQL (PostgreSQL, SQL Server, MySQL) and experience querying relational or document databases for test setup and verification.

AI & Emerging Tech Capabilities

AI Feature Testing: Familiarity with concepts around evaluating AI/ML features, RAG architectures, prompt engineering testing, or heuristic evaluation metrics.
AI Productivity Tools: Familiarity or experience using AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to write test scripts, create mock data, or generate test scenarios

Professional & Interpersonal Skills

Agile Methodology: Proven experience working in an Agile/Scrum environment.
Problem-Solving: Exceptional analytical, critical thinking, and debugging skills with high attention to detail.
Communication: Excellent written and verbal communication skills to articulate technical defects, risk assessments, and test coverage clearly to technical and non-technical stakeholders.

Education/Experience

A bachelor's degree is not required, but preferred. More than anything, RMS is looking for people who are passionate about technology who want to develop the skills to solve hard and important problems.

Environmental Conditions

Indoor climate-controlled environment. Moderate to quiet noise level

Physical requirements

While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision.

All applicants are subject to drug screens and background checks per company policies.

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Refine Your Search

machine learning engineer jobs in oklahoma city, ok

Quality Assurance Engineer

AI/ML Computational Science Specialist

Senior Engineer - Data Science

AI/ML Computational Science Engineer

Data Scientist

Financial Crimes Model Analyst

Snowflake Advanced AI Engineer

Senior Technical Product Manager – AI / ML

Snowflake Advanced AI Solution Lead

Staff Geophysicist

Lead Software Engineer

Accenture Edge for AWS Tech Practice Leader – Data and AI

Software Engineer / User Experience Applications

Sr. ML Ops Engineer

Senior Geophysicist

AI/ML SME

Google Agentic AI Delivery Senior Engineer

Knowledge Engineer / Semantic Expert for AI

Senior Geologist, Eagle Ford

Senior Reservoir Analyst

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