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

Intern, Mechanical Engineer

Claremore, OK

$15.50 - $21/hr

... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ... hiring managers exercising independent judgment. If you need any assistance seeking a job ...

New

We modernize their supply chains using artificial intelligence, machine learning and connected ... Experience with D365 Manufacturing, advanced Warehouse Management * Familiarity with key ISV ...

Industry/Sector Not Applicable Specialism Oracle Management Level Manager & Summary At PwC, our ... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ...

Feeding Pulper Operator

Inola, OK · On-site

$14.50 - $17.25/hr

Learn and receive qualification for next job in line of progression on machine. * Manage the ... Sofidel Language Learning Programme through innovative digital platform OUR APPROACH TO ...

Intern, Electrical Engineer

Claremore, OK · On-site

$15.75 - $20.75/hr

... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ... hiring managers exercising independent judgment. If you need any assistance seeking a job ...

New

Procurement processes, vendor management, contract negotiations, and evaluation of technology solutions and proposals. * AI technologies, automation tools, machine learning applications, and ...

... ERP, CRM, HR, finance, and manufacturing systems. * Build and optimize ETL/ELT processes for ... Support development and deployment of AI, machine learning, and generative AI solutions as the ...

Showing results 41-60

Machine Learning Manager information

See Tulsa, OK salary details

$46.6K

$74.6K

$107.8K

How much do machine learning manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning manager in Tulsa, OK is $74,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $84,500.00 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.

Rotating Equipment Engineer

CF Industries Inc

Claremore, OK • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


CF Industries rating

8.5

Company rating: 8.5 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

22nd of 100 rated chemical manufacturers


Job description

Business Area

Engineering and Engineering Services

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you’ll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You’ll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world’s transition to clean energy.

Function Job Summary

The Rotating Equipment Mechanical Engineer provides technical support for the reliability, performance, and mechanical integrity of critical rotating equipment at the Verdigris Complex. This role troubleshoots equipment issues, analyzes reliability data, supports maintenance strategies, and collaborates with Operations, Maintenance, Reliability, and Engineering to improve asset performance and reduce downtime. You will report to the Chief Engineer, Asset Integrity & Reliability, and work onsite as part of the Engineering organization. This is a safety-sensitive position.

You Will
  • Provide Rotating Equipment Expertise: Support site rotating equipment, including pumps, compressors, blowers, turbines, gearboxes, seals, bearings, lubrication systems, and related machinery.
  • Improve Reliability and Performance: Analyze reliability data, track failure and repair metrics, identify performance trends, and implement improvement plans that reduce equipment downtime and maintenance costs.
  • Lead Troubleshooting and Maintenance Strategy: Troubleshoot equipment issues, support failure analyses, review condition monitoring data, and develop preventive and predictive maintenance strategies.
  • Support Repairs, Turnarounds, and Projects: Collaborate with Maintenance, Operations, Reliability, and Engineering to plan and execute machinery repairs, shutdown work, equipment upgrades, replacements, and reliability improvement projects.
  • Ensure Documentation and Compliance: Support PSM Mechanical Integrity requirements by maintaining accurate repair documentation, equipment records, maintenance strategies, and alignment with applicable standards.
  • Share Best Practices and Provide Technical Support: Participate in rotating equipment best practice efforts, recommend critical spare parts, support audits, assist with selected fixed equipment tasks, and provide urgent technical support when needed.
You Have
  • Safety Mindset: Demonstrated commitment to safe work practices, risk assessment, hazard identification, and adherence to industry and site safety standards.
  • Education: Bachelor’s degree in mechanical engineering.
  • Preferred Experience: Five or more years of rotating equipment, reliability, maintenance, or mechanical engineering experience in a chemical plant, refinery, petrochemical, fertilizer, or other heavy industrial manufacturing environment preferred.
  • Rotating Equipment Knowledge: Experience with rotating and reciprocating machinery, failure analysis, vibration analysis, precision alignment, lubrication practices, mechanical seals, bearings, and baseplate grouting procedures preferred.
  • Reliability and Maintenance Tools: Familiarity with condition monitoring, preventive and predictive maintenance programs, CMMS systems, equipment criticality, and spare parts management preferred.Industry Standards: Working knowledge of applicable industrial codes, standards, and regulations, such as API, ASME, ANSI, OSHA, and state regulatory requirements preferred.
  • Manufacturing Familiarity: Experience with ammonia, urea, fertilizer, petrochemical, or similar manufacturing processes preferred.
  • We offer benefit plans including medical, dental, vision, and a well‑being incentive program.
  • We provide time off for vacation, employee holidays, personal or family illness, paid parental leave, adoption, and volunteering.
  • Additional benefits include a 401(k), pension plan, life and disability insurance, flexible spending accounts, and a health savings account.
Notice Regarding Potential Use of Artificial Intelligence in the Recruitment Process

As part of our recruitment process, CF Industries may use automated tools, including artificial intelligence (“AI”) and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job‑related criteria, including information provided during the application process such as resumes, work history, education, qualifications, and responses to application questions. These tools support but do not replace human decision‑making, and all final employment decisions are made by our Talent Acquisition team and/or hiring managers exercising independent judgment.

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