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

WORKOPTI Full-Stack Enginner (Web)

Tulsa, OK ยท On-site

$110 - $180/hr

As a WORKOPTI Engineer, you will design and implement machine learning solutions for customer use ... Effective time management skills demonstrated by successful and timely completion of projects

New

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 ...

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CNC Operator Machinist

Tulsa, OK ยท On-site

$15 - $20/hr

Looking for individual who has machine shop experience or some one who wants a new career. I have ... Report any safety or maintenance concerns to management immediately * Keep all work areas clean and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... manage and inspire others. Navigating increasingly complex situations, you are growing your ...

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

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 ...

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 ...

Business Analytics Tutor

Tulsa, OK ยท Remote

$18 - $40/hr

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

$46.6K

$74.6K

$107.8K

How much do machine learning manager jobs pay per year?

As of Aug 20, 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.

WORKOPTI Full-Stack Enginner (Web)

WORKOPTI, Inc.

Tulsa, OK โ€ข On-site

$110 - $180/hr

Other

Posted 2 days ago

New


Job description

What Type Of Person Do We Look For At WORKOPTI

We are looking for MISSIONARIES over mercenaries. Missionaries believe in our vision + mission because they share our values.

At WORKOPTIour Mission + Vision is to Elevate performance for everyone, everywhere.

Mercenaries could just work for anyone. Missionaries work for purpose.

We only hire when we have high conviction because we believe in your ability to execute and transform our world alongside our team of leaders at WORKOPTI. We look for people who love their craft in alignment with our mission where in alignment we can change the world together.

We look for strong individual contributors who are deeply motivated to change the world.

Empowering Success Through Leadertech

At WORKOPTI, we champion a "High-Done Culture" that transforms potential into progress and progress into performance. By delivering market-ready technology every 30 days, we set ourselves apart from organizations that remain perpetually "in progress." This approach ensures at least 11 monetizable releases annually, with zero technical debt, providing our customers with continuous value and innovative solutions.

Creating High-Done Cultures through Cutting-Edge Technology

Our mission is to empower organizations to cultivate high-done cultures through our groundbreaking technology. Our Founder, CEO, and CTO, Elkanah Reed, envisioned a simple yet powerful strategy: organize all business data into three columnsโ€”To Do, In Progress, and Done. This clarity allows leaders to visualize success and drive their teams towards it. By pioneering the Leadertech software category, we seamlessly merge productivity software with executive coaching, placing WORKOPTI at the heart of transformational leadership.

How WORKOPTI Technology Works

At the core of WORKOPTI is our kanban-driven system converts raw, unstructured data into actionable insights. This system categorizes tasks into "To Do," "In Progress," and "Done," enabling leaders to prioritize effectively and achieve their goals. Our technology helps organizations avoid the common pitfall of tasks lingering in the "In Progress" column, ensuring a steady flow of completed tasks that drive 10x growth outcomes.

Living Our Values

Our High-Done Culture permeates every aspect of our organization, from leadership and engineering to marketing and customer success. Our core values of Customer Obsession, Consistent Curiosity, and Equity drive us. We pour our passion and expertise into ensuring our customers' success, creating a ripple effect of excellence.

Our Stack
  • Angular
  • Docker
  • Java
  • Python
Job Requirements
  • Be an amazing Human
  • Release commercial-grade (sellable experience every 30 days).
  • Live our values, design principles, and our vision.
  • The ability to create Senior Engineer Level outcomes
  • Build shared back-end with iOS app
  • All releases must be mobile responsive with excellence
  • As a WORKOPTI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core WORKOPTI product insights and bringing in opportunities to apply and optimize machine learning primarily Generative AI to grow our business as we educate and empower our customers worldwide.
  • Additionally, you will work closely with the CTO to build and constantly drive excellence in alignment with our High Done culture with every monthly product release as we stack various AI models to help Senior Executives make decisions better together with a clear focus on human-centered design using SCRUM.
  • Be a trusted technical leader at WORKOPTI and solve complex Machine Learning challenges focused on Large Language Models (LLMs) and modern AI stacking methods.
  • Develop, train, fine-tune, and deploy large language models for various customer use cases that will be integrated with the WORKOPTI platform experience.
  • Implement various levels of tuning like instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine-tuning (PEFT) such as p-tuning, adapters, and LoRA to improve LLMs for different use cases.
  • Collaborate with CTO to deliver a robust AI model that integrates AI stacking for the customer and make recommendations for improvement
  • AWS/Azure/GCP and Linux experience, including Terraform, docker, ECS/Kubernetes/Kubeflow, and human-in-the-loop AI development
  • Focus on Azure experience with a knowledge of Azure AI, Microsoft Fabric, Microsoft Security Co-Pilot
  • DevOps CI/CD experience, running highly available services at scale
  • Fluency in English
  • Exceptional analytic and problem-solving skills
  • Strong oral and written communication skills
  • Experience with Agile and Scrum methodologies
  • A demonstrated desire to adopt and learn new technologies and processes
  • Experience with various data storage tools and approaches, including Graph databases (i.e. Neo4j, ArangoDB), relational databases SQL, and knowledge of NoSQL
  • Effective time management skills demonstrated by successful and timely completion of projects
  • Ability to work both independently and in a team-oriented, collaborative environment
  • Positive attitude, self-starter with strong analytic, communication, and interpersonal skills
  • High Autonomy
  • High Accountability
  • Innovation Prioritized and Impact Driven Culture
  • Transform How Leadership Happens Globally
We are WORKOPTI and we operate a High DONE Culture

Our product has garnered attention from industry giants such as Accenture, BHP, Deloitte, and leading technology companies like Microsoft, Google and Amazon.

Our vision and mission is focused on elevating performance for everyone, everywhere

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