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Temporary Machine Learning Engineer Jobs in Tulsa, OK

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...

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Machine Operator

Tulsa, OK · On-site

$20 - $30/hr

Ability to read and interpret documents, such as engineering drawings and specifications ... Our temporary hire periods are shorter than other agencies, and we have many other benefits and ...

Temporary

Tulsa, OK · On-site

$14.50 - $19/hr

... of Analytics and Programming in Career Development & Professional Engagement. The successful ... learning experiences to explore complex ideas and create new knowledge in a spirit of free inquiry.

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CNC Operator Machinist

Tulsa, OK · On-site

$15 - $20/hr

... who has machine shop experience or some one who wants a new career. I have over 40yrs experience and a great trainer, If you are interested in learning C.N.C machining , C.N.C Programing ...

Engineering and Engineering Services Job Summary: You will report directly to the Engineering ... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ...

Engineering and Engineering Services Job Summary: You will report directly to the Engineering ... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ...

Data Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Platform Engineering & Operations * Support the Azure Data Platform, Microsoft Fabric, and related ...

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the ... Platform Engineering & Operations * Support the Azure Data Platform, Microsoft Fabric, and related ...

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Python Tutor

Tulsa, OK · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Temp CNC Machine Operator Assistant

Tulsa, OK · On-site

$18.75 - $25.50/hr

Adjusts machine feed and speed, changes cutters to machine parts according to specifications when automatic programming is faulty or machine malfunctions. Sets up and operates the machine to produce ...

Showing results 21-40

Temporary Machine Learning Engineer information

See Tulsa, OK salary details

$28.8K

$117.6K

$176.7K

How much do temporary machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for temporary machine learning engineer in Tulsa, OK is $117,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $141,600.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What are the most commonly searched types of Machine Learning Engineer jobs in Tulsa, OK?

The most popular types of Machine Learning Engineer jobs in Tulsa, OK are:

What are popular job titles related to Temporary Machine Learning Engineer jobs in Tulsa, OK?

For Temporary Machine Learning Engineer jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Engineer jobs in Tulsa, OK look for?

The top searched job categories for Temporary Machine Learning Engineer jobs in Tulsa, OK are:

Infographic showing various Temporary Machine Learning Engineer job openings in Tulsa, OK as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $117,614 per year, or $56.5 per hour.

AI & GenAI Data Scientist-Director

Pwc

Tulsa, OK • On-site

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Director

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
Responsibilities
- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
- Overseeing the implementation of data infrastructure and integration to support scalable AI systems
- Driving business growth by identifying market opportunities and converting them into successful client engagements
- Mentoring and guiding teams in the application of advanced data analytics and AI techniques
- Promoting technological advancements and fostering an environment where people and technology thrive together
- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
- Utilizing programming languages such as Python and C++ to develop and deploy AI models
- Managing complex data analysis and confirming data quality and integrity within analytics frameworks
- Encouraging creativity and innovation in problem-solving and solution development
- Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
What You Must Have
- At least a Bachelor's degree
- At least 12 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Leading AI-driven automation projects with strategic mindset and innovation
- Promoting technological advances in data infrastructure and integration
- Cultivating potential in others through coaching and feedback

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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