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Machine Learning Manager Jobs in Tulsa, OK (NOW HIRING)

Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly ... Bachelor's degree in Computer Science, Management Information Systems, Engineering, Accounting ...

NGA AI Engineer Manager

Tulsa, OK ยท On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

AI Solutions Engineering Delivery Lead

Tulsa, OK ยท On-site

$93K - $123K/yr

... and managing AI and machine learning solutions, particularly with orchestrated LLM applications - Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL ...

Data Science Tutor

Tulsa, OK ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Machine Operator - 1st Shift

Tulsa, OK ยท On-site

$15.25 - $18.25/hr

Learning environment to learn as many job duties to assist with plant growth and personal and ... Additional duties may be assigned by management. EDUCATION and/or EXPERIENCE High school diploma or ...

Machine Operator - 1st Shift

Tulsa, OK ยท On-site

$15.25 - $18.25/hr

Learning environment to learn as many job duties to assist with plant growth and personal and ... Additional duties may be assigned by management. EDUCATION and/or EXPERIENCE High school diploma or ...

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... This role will manage solution delivery through a variety of activities including process design ...

Manager, Strategy, Growth, and Transformation Advance your career as a senior technical leader ... We modernize supply chains by implementing artificial intelligence, machine learning, and connected ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Showing results 21-40

Machine Learning Manager information

See Tulsa, OK salary details

$44.2K

$70.8K

$102.3K

How much do machine learning manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning manager in Tulsa, OK is $70,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $80,200.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

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

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

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

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

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

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

Infographic showing various Machine Learning Manager job openings in Tulsa, OK as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $74,630 per year, or $35.9 per hour.

AI Engineer III

Tulsa, OK โ€ข On-site

Full-time

Posted 23 days ago


Job description

#WeAreONEOK - Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.

JOB SUMMARY

Job Profile Summary
The ONEOK Data Science team creates intelligent cloud-native solutions that drive value-added decision-making processes. As part of the team, you will implement these solutions, primarily using a combination of artificial intelligence, machine learning, and numerical optimization.

Expect a fast pace, high levels of autonomy, a hands-on approach with our business partners, perpetual learning, and a high ceiling for personal growth. Come with strong opinions, loosely held.

Essential Functions and Responsibilities

  • Production AI systems: Develop, deploy, and maintain AI systems, including agents, harnesses, tools, and evaluation pipelines. Accountable for reliability, latency, cost, and accuracy.

  • Advanced algorithms: Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly detection capabilities in cases where off-the-shelf AI does not meet the operational requirement.

  • Cloud Development: Develop and implement cloud-based infrastructure to host and run AI and ML models.

  • Tooling and prompts: Design, tune, and evaluate purpose-built tools, function calls, and prompt templates.

  • User experience: Develop custom user interfaces for AI workflows, designed from user requirements.

  • Security and IT partnership: Ensure AI systems meet ONEOK IT and security standards as they are transitioned to production.

Education

  • Bachelor's degree in Computer Science, Management Information Systems, Engineering, Accounting, Finance, Business Administration, or other related field with specific job-related experience as follows:

Required Experience

  • Minimum 5 years of software engineering experience, including demonstrated experience shipping and maintaining AI/ML systems in production environments

  • Extensive experience with LLM-based systems, including agent frameworks, tool use, evaluations, prompt engineering, and retrieval.

  • Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting, or computer vision.

  • Experience designing APIs, SDKs, or frameworks consumed by other engineers.

  • Proven track record deploying and managing systems in production, including monitoring, incident response, and cost management.

Knowledge, Skills and Abilities

  • Skills in: Technical Skills: Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). Experience with modern data platforms and technologies (e.g., Spark, Databricks, Snowflake) is a plus.

  • Skills in: Strong proficiency in Large Language Models (LLMs) ecosystem, including agentic coding, AI harnesses, model APIs and third-party providers such as Anthropic, AWS Bedrock, and OpenAI.

  • Skills in: Cloud: Proficient in cloud platforms including IaaS and PaaS (e.g., AWS, Azure, Terraform) with experience deploying and managing data solutions in cloud environments.

  • Skills in: Software development lifecycle (SDLC) and continuous integration/deployment (CI/CD) pipelines, code repos, branching strategies (ADO, GitHub, GitLab)

  • Skills in: relational database design including table structures, indexes and primary/foreign key fields.

  • Skills in: use and function of office equipment including computers and applicable software.

  • Skills in: presenting solutions to both technical and non-technical audiences

  • Skills in: interacting, advising and communicating effectively.

  • Skills in: developing solutions to complicated issues using abstract thinking in new or complex situations.

  • Skills in: managing and prioritizing multiple assignments with competing deadlines.

  • Skills in: reading and interpreting correspondence, reports, production statistics, cost analyses, contracts, accounting statements, income statements, ledgers, manuals and legal documents.

  • Ability to: develop information, conduct meetings and present information to individuals and groups.

  • Ability to: apply math, algebra, statistical and volumetric methods.

  • Ability to: be self-motivated and self-directed.

  • Ability to: influence and facilitate discussions across a wide range of teams and technologies.

  • Ability to: mentor less experienced personnel on complex technologies.

Licenses and Certifications

  • None required

  • Relevant certifications (e.g., cloud platforms, data science, machine learning, or data engineering) preferred

Strength Factor Rating - Physical Demands/Requirements

  • Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Strength Factor Description - Physical Demands/Requirements

  • Standing: Remaining on one's feet in an upright position at a work station without moving about (Occasionally)

  • Walking: Moving about on foot (Frequently)

  • Sitting: Remaining in a seated position (Constantly)

  • Lifting: Raising or lowering an object from one level to another (includes upward pulling) (Occasionally)

  • Carrying: Transporting an object, usually holding it in the hands or arms, or on the shoulder (Occasionally)

  • Pushing: Exerting force upon an object so that the object moves away from the force (Occasionally)

  • Pulling: Exerting force upon an object so that the object moves toward the force (includes jerking) (Occasionally)

  • Climbing: Ladders, Stairs (Occasionally)

  • Balancing: Maintaining body equilibrium to prevent falling (Occasionally)

  • Stooping: Bending the body downward and forward by bending the spine at the waist (Occasionally)

  • Kneeling: Bending the legs at the knees to come to rest on the knee or knees (Occasionally)

  • Crouching: Bending the body downward and forward by bending the legs and spine (Occasionally)

  • Crawling: Moving about on the hands and arms in any direction (Occasionally)

  • Reaching: Extending hands and arms in any direction (Constantly)

  • Handling: Seizing, holding, grasping, turning or otherwise working with the hand or hands (Manual Dexterity) (Constantly)

  • Fingering: Picking, pinching or otherwise working with the fingers primarily (Finger Dexterity) (Constantly)

  • Feeling: Perceiving such attributes of objects/materials as size, shape, temperature, texture, movement or pulsation by receptors in the skin, particularly those of the finger tips (Constantly)

  • Talking: Expressing or exchanging ideas/information by means of the spoken word (Frequently)

  • Hearing: Perceiving the nature of sound by the ear (Frequently)

  • Tasting/Smelling: (Occasionally)

  • Near Vision: Clarity of vision at 20 inches or less (Constantly)

  • Far Vision: Clarity of vision at 20 feet for more (Frequently)

  • Depth Perception: Three-dimensional vision; ability to judge distances and spatial relationships so as to see objects where and as they actually are (Frequently)

  • Vision: Color - The ability to identify and distinguish colors (Constantly)

Working Conditions/Environment

  • Employee is subject to inside environmental conditions

Working Conditions

  • Well lighted, climate controlled areas (Constantly)

  • Frequent repetitive motion (Constantly)

  • CRT (Computer Monitor(s)) (Constantly)

Travel

  • Ability to travel to support IT infrastructure initiatives, project implementations, or collaboration across business locations as needed

Driving

  • Based on assigned tasks, employee may be assigned a company vehicle requiring the applicable driver's license

ONEOK is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, sex, pregnancy, sexual orientation, age, religion, creed, national origin, gender identity, disability, military/veteran status, genetic information or any other categories protected by applicable law.

The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of ONEOK.

ONEOK is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation email HRSolutions@ONEOK.com or call 1-855-663-6547.

Expected Salary Range

$114,000.00 - $172,000.00