1

Temporary Machine Learning Engineer Jobs in Tulsa, OK

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Be Seen First

Machine Operator

Tulsa, OK · On-site

$20 - $30/hr

... such as engineering drawings and specifications. • Understanding of machine operating and ... Our temporary hire periods are shorter than other agencies, and we have many other benefits and ...

Be Seen First

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 ...

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 ...

This is a temp-to-hire opportunity offering long-term career potential, steady first-shift hours ... Adjust machine offsets, feeds, speeds, and tooling as needed * Troubleshoot machining issues and ...

Be Seen First

CNC Machinist

Tulsa, OK · On-site

$20 - $24/hr

... programming and manufacturing processes · Familiarity with sheet metal fabrication and machine ... Our temporary hire periods are shorter than other agencies, and we have many other benefits and ...

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

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 Jul 25, 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 July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $117,614 per year, or $56.5 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tulsa, OK • On-site

Other

Posted 3 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.