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Remote Machine Learning Jobs in Oklahoma (NOW HIRING)

The AI identity engineer is responsible for applying artificial intelligence and machine learning ... Remote and Hybrid Work * Time Off When You Need It * Benefits That Flex * Professional Development ...

Tinker Federal Credit Union's Interactive Teller Machine (ITM) Services department has an immediate ... learning style, you'll have the opportunity to transition to a hybrid/remote schedule. * All ...

Continuously improve forecast accuracy using statistical and machine learning techniques Customer & LTV Modeling (Core Requirement) * Design and maintain Customer Lifetime Value (LTV) models

Decisions Developer

Tulsa, OK · On-site +1

$70K - $85K/yr

Remote, Tulsa -TUL Areas of Interest: Wealth Management; Business/Technical Analysis Pay ... You will foster collaboration, speed, innovation, and encourage continuous learning and feedback.

Senior Software Engineer II

Oklahoma City, OK · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K - Offers Equity At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We ...

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Remote Machine Learning information

See Oklahoma salary details

$23.5K

$39.3K

$81.3K

How much do remote machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote machine learning in Oklahoma is $39,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Oklahoma? The most popular types of Machine Learning jobs in Oklahoma are:
What are popular job titles related to Remote Machine Learning jobs in Oklahoma? For Remote Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Remote Machine Learning jobs? Cities in Oklahoma with the most Remote Machine Learning job openings:
Okta AI Sr. Engineer

Okta AI Sr. Engineer

Centric Consulting

Saint Louis, OK • Remote

Other

Medical, Retirement, PTO

Posted 16 days ago


Job description

Okta AI Sr. Engineer

Job Level: W2T Consultant

Job Location: Remote

Travel Expectations: 0%

Job Classification: Temporary (W2T)

Join Centric Consulting - A Culture You'll Love

At Centric Consulting, we've cultivated a unique approach to business.  Our business is built on three fundamental principles: Enjoy the people you work with, have fun, and do great work. These principles define our consulting model and have crafted one of the most vibrant cultures in the consulting industry - celebrating individuals, collaboration, and lifelong friendships. 

The AI identity engineer is responsible for applying artificial intelligence and machine learning capabilities to accelerate and enhance the organization's identity modernization initiatives. This role sits at the intersection of AI and IAM, translating intelligent automation and model driven insights into practical identity outcomes reducing manual overhead, improving access precision, and strengthening identity assurance across the enterprise.

Initial focus areas for this role include identity proofing, least privileged enforcement, and entitlement management, leveraging the capabilities of Okta and persona to build smarter, more adaptive identity workflows that scale with the program's evolving needs. The role will be defining and enforcing identity management strategies tailored for AI agents, including life cycles, entitlements, and owner relationships. Additionally, the role will be responsible for architecting and integrating AI-based features, such as adaptive access control, identity analytics, into the IAM framework. 

In this role, you will: 

Key Responsibilities:

  • Provide deep subject-matter expertise across IAM domains (authentication, authorization, federation, SSO, directories, identity lifecycle, and access governance) spanning both cloud and on-premises enterprise technologies, including hybrid integration patterns.
  • Define, evolve, and drive adoption of authentication and authorization reference architectures for existing, new, and emerging IAM capabilities.
  • Design end-to-end IAM solutions that are secure-by-design, scalable, resilient, and reusable-meeting immediate project needs while enabling a coherent, phased architecture aligned to the firm's strategic direction.
  • Lead technical discovery and solutioning for complex, global IAM challenges; propose creative and pragmatic approaches to reduce risk, improve user experience, and increase automation.
  • Translate IAM strategy and security principles into implementable technical designs, patterns, and standards (e.g., blueprints, reusable components, configuration baselines).
  • Participate in IAM governance processes and influence firm-wide adoption of IAM standards through technical guidance, architecture reviews, and engineering guardrails.
  • Partner with Information Security, Infrastructure, and Application teams to ensure solutions adhere to security policies and standards and are operationally supportable.
  • Serve as hands-on technical lead on IAM initiatives-owning solution design, engineering delivery, and technical alignment across stakeholders (this is not a project manager role).
  • Develop and maintain technical roadmaps for IAM and cloud security capabilities, including modernization, platform lifecycle planning, and decommissioning of legacy technologies.
  • Provide architecture and engineering expertise for secure cross-organizational identity integration and information sharing (e.g., B2B/B2C, partner federation, API access patterns).
  • Evaluate emerging threats, technology changes, and process gaps; recommend and implement improvements to IAM controls, patterns, and platform configurations.
  • Produce and maintain high-quality technical documentation: architecture diagrams, engineering specifications, security patterns, configuration standards, and implementation guides.

Analytical / Decision-Making Responsibilities:

  • Interpret IAM strategy and business requirements and convert them into actionable architecture and engineering plans.
  • Make design decisions that balance security, usability, scalability, performance, and implementation complexity.
  • Identify technical risks, propose mitigation strategies, and drive alignment on architecture direction across engineering teams and stakeholders.
  • Contribute to the firm's overall IAM direction through thought leadership, pattern development, and continuous improvement of the IAM ecosystem. 

Who You Are: 

Core Skillset

  • Experience applying AI/ML techniques to identity and access management use cases
  • Hands-on familiarity with Okta's platform capabilities including Identity Engine, Workflows, and adaptive access controls
  • Working knowledge of Persona or comparable identity proofing and verification platforms
  • Understanding of entitlement management principles, role engineering, and least privilege frameworks
  • Ability to translate AI model outputs into actionable IAM policy and workflow automation
  • Familiarity with IGA platforms (SailPoint) and how AI can augment access certification and provisioning

Knowledge, Skills, and Experience Requirements 

  • Strong foundation in Information Security concepts, with demonstrated experience designing and implementing IAM solutions in enterprise environments.
  • Hands-on experience architecting and engineering IAM solutions in Microsoft Azure and AWS (experience with additional cloud providers is a plus).
  • Strong knowledge of IAM protocols and standards including SAML, SCIM, OpenID Connect, OAuth (and familiarity with XACML/SPML where applicable).
  • Expertise in federation concepts and technologies, particularly ADFS and Ping Identity (or equivalent platforms).
  • In-depth experience with Microsoft Entra ID (Azure AD), including tenant architecture, hybrid identity patterns, conditional access, and integrations to enterprise infrastructure.
  • Strong experience with directories, SSO, federation, delegated administration models, API gateways, and service-to-service authentication/authorization patterns.
  • Solid understanding of cloud architecture, technical design, and implementation approaches across IaaS, PaaS, and SaaS delivery models.
  • Experience integrating IAM solutions with cloud security and governance tooling (e.g., CASBs and related controls) and relevant virtualization technologies.
  • Strong troubleshooting and analytical skills with the ability to design for failure modes, resiliency, and secure operations.
  • Excellent written and verbal communication skills, including the ability to influence technical direction across teams and communicate architecture decisions to varied audiences.
  • Ability to work independently and collaboratively under minimal supervision; comfortable leading technical delivery and mentoring others.
  • Scripting/automation skills (e.g., PowerShell, JavaScript, Python, etc.) to build tooling, automate integrations, and streamline engineering delivery.
  • Experience advising customer organizations and senior leaders on architecture options, implementation scope, and technical tradeoffs.
  • Understanding of AI/ML-driven identity controls and adaptive access patterns, including how to incorporate them into modern access architectures. 

Total Rewards: 

We proudly offer competitive compensation, a comprehensive and well-rounded benefits package for full-time employees that have been designed to nourish your well-being, such as health coverage, wellness programs, 401K company match, self-managed PTO, and other unique incentives that celebrate your accomplishments.      

  • Remote and Hybrid Work
  • Time Off When You Need It
  • Benefits That Flex
  • Professional Development  

While benefits eligibility may vary for roles that are not full-time, we provide unique opportunities for growth, skill development, and more.  Regardless of your role, you'll be part of a collaborative environment where every team member contributes to our shared success.  

Discover more about our benefits by exploring additional details here benefits. 

Who We Are: 

Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility, and cost efficiency to create tailored solutions centered on what's best for businesses.  Now numbering more than 1,400 employees in the U.S. and India, we're committed to solving clients' toughest problems and delivering on our mission of providing unmatched experiences.   

Our purpose at Centric Consulting is to bringunmatched experiencesto clients and employees. These aren't just words we use - it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are. 

What Makes Centric a Great Place to Work? 

We know that creating and sustaining an authentically welcoming culture requires that we all play a part inpromotingdiversity, equity, and inclusion, from our business practice to how we show up for employees and communities. This is how we bringour mission and core valuesto life, working together to provide the highestqualityservices to our clients while allowing our employees to reach their full potential.  We are proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws.  

Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process. 

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