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Remote Machine Learning Engineer Jobs in Kansas (NOW HIRING)

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Engineering, or equivalent work experience preferred. * 5+ years of professional, industry-related ...

Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

We invest in your growth with enterprise-wide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ... machinery, occasional need to walk on uneven ground, exposure to dust, gas or fumes, exposure to ...

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Software Engineer III

Kansas City, KS ยท On-site +1

$81K - $114K/yr

This is a full-time remote position, in a positive and flexible environment. Residency within 100 ... Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for ...

$80 - $100/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... The Senior Software Engineer - Front End at Array will play a key role in shaping and elevating our ...

Senior Alternate Delivery Design Engineer

Olathe, KS ยท On-site +1

$125K - $156K/yr

New Alternate Delivery Requisition Sr. Geotechnical Engineer -REMOTE POSITION Terracon has a fantastic opportunity to join our growing Alternate Delivery organization. This group works on our larger ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ...

Roadway Design Engineer - Kansas City, KS

Lenexa, KS ยท On-site +1

$72K - $88K/yr

Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ... machinery, occasional need to walk on uneven ground, exposure to dust, gas or fumes, exposure to ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Lead and manage application engineer team assigned to respective application of focus, and ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ...

Statics and Dynamics Tutor

Wichita, KS ยท Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 1-20

Remote Machine Learning Engineer information

See Kansas salary details

$28.1K

$114.8K

$172.6K

How much do remote machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning engineer in Kansas is $114,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $138,200.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Kansas? The most popular types of Machine Learning Engineer jobs in Kansas are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Kansas? For Remote Machine Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Kansas look for? The top searched job categories for Remote Machine Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Machine Learning Engineer jobs? Cities in Kansas with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Kansas as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,843 per year, or $55.2 per hour.

Identity and Access Management Engineer [Hybrid or Remote]

EDF power solutions

Anthony, KS โ€ข On-site, Remote

$125K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

Scope of Position

About Us:

EDF power solutions North America has been providing clean energy solutions throughout the U.S., Canada, and Mexico since 1987. We are a market-leading independent power producer and service provider, serving utilities, corporations, industries, communities, institutions, and investors with reliable, low-carbon energy solutions that help meet growing demand.

From developing and building scalable wind (onshore and offshore), solar, storage (battery and pumped storage hydro), smart EV charging, microgrids, green hydrogen, and transmission projects, to maximizing performance and profitability through skilled operations and maintenance and innovative asset optimization, our teams deliver expert solutions along the entire value chain-from origination to commercial operation.ย  Be a part of an innovative and collaborative team environment that fosters our goal of delivering renewable solutions to lead the transition to a sustainable energy future.

Benefits & Perks:

EDF power solutions offers best-in-class employee benefits, including the following:

  • Competitive bonus incentives. This position is eligible for our annual bonus program.
  • Comprehensive health coverage. We provide low-cost health & wellness coverage for employees and their eligible dependents.
  • Rewarding 401k.ย We provide a generous matching contribution.

We are also proud to offer:

  • Favorable paid time off programs, including paid parental leave after one year of service.
  • Rewarding learning & career development and advancement opportunities.
  • Supportive mentorship & buddy programs.

Salary Range: The full pay range for this role is $107,200 - $178,600 annually, and the good faith estimated starting pay for this position upon hire is $125,000 - $140,000 annually. We generally base our salary decisions on factors including but not limited to, relevant work and leadership experience, education, demonstrated performance, internal equity, and in some cases, geographic location.

Scope of Job:ย 

Theย Identity andย Accessย Management (IAM)ย Engineer servesย as the strategic anchor, technical implementer, and cultural champion for Identity and Access Management withinย theย Cybersecurity team. As the cornerstone ofย theย modern security program,ย this roleย ensuresย that the right individuals have the right access to the right resources at the right timesย and for the right reasons.ย 

Thisย roleย isย integral to the day-to-day management of theย IAM infrastructure and identity lifecycle from onboarding to offboarding.ย The IAM Engineerย definesย the identity strategy, hands-on architect,ย implementsย  enterprise-grade toolsets, and buildsย the seamless operational processesย requiredย to support them.ย 

In addition toย deep technical deployment,ย this roleย actsย as the organization'sย chiefย IAMย representativeย -ย collaborating with cross-functional teams, educating the business on why identity security matters, and breaking down complex security protocols into friction-free user experiences. By bridging the gap between engineering excellence and strategic vision, you will directly mitigate security risks, enable business productivity, support regulatory compliance, and fortify our overall security posture against unauthorized access and data breaches.ย 

Work Mode:ย  ย Hybrid - San Diego, CA or Remote (U.S. only)

Responsibilities
  • IAM Platform Administration & Engineeringย 
    • Core Administration: Administersย and configures core IAM platforms and technologies, such as (e.g., Clear Skye, Veza, Entra ID Governance, Okta, Ping Identity)ย , or similar enterprise-grade solutions.ย 
    • Standard Integration: Engineersย and supportsย integrationย between the IAM platform and target applications using standard protocols like SAML 2.0, OAuth 2.0, OpenID Connect (OIDC), and SCIM.ย 
    • Custom Integration: Developsย custom connectors and workflows to integrate non-standard, legacy, or homegrown applications into the centralized IAM framework.ย 
    • Directory Services: Managesย and securesย the organization's directory services, including Active Directory and LDAP, ensuring data integrity, synchronization, andย replicationย health.ย 
    • Automation: Developsย andย maintainsย automation scripts (using PowerShell, Python, etc.) to streamline repetitive IAM tasks, such as user provisioning, report generation, and system health checks.ย 
  • Strategy, Architecture & Roadmapย 
    • Strategic Roadmap:ย Looksย ahead, andย contributesย to the development and refinement of the organization's broader cybersecurity strategy and technology roadmap, specifically within the identity domain.ย 
    • Architecture & Deployment: Architects,ย designs,ย deploys, andย maintainsย the enterprise-wide Identity and Access Management (IAM) infrastructure, including core platforms for Identity Governance (IGA), Access Management (AM), and Privileged Access Management (PAM).ย 
    • Future-Proofing: Evaluatesย emerging IAM technologies, trends, and security threats, providing recommendations for strategic improvements and enhancements to the identity program.ย 
  • Business Collaboration, Training & Evangelism
    • Stakeholder Collaboration: Collaboratesย closely with application owners, infrastructure teams, HR, and business stakeholders to gather access requirements and ensure IAM services meet business needs.ย 
    • SME & Training: Providesย subject matter expertise and training to IT support teams, application developers, and end-users on IAM policies, tools, and best practices.ย 
    • Authentication Security: Spearheadsย the designsย and integration of Single Sign-On (SSO) and Multi-Factor Authentication (MFA) solutions to provide a seamless and secure authentication experience across a diverse portfolio of cloud (SaaS) andย on-premiseย applications.ย 
  • Operations, Support & Incident Management
    • Proactive Monitoring: Proactivelyย monitorsย the health, performance, and security of IAM systems,ย identifiesย potential issues, analyzesย logs, and respondsย to system-generated alerts.ย 
    • Incident Response: Partnersย withย stakeholdersย to investigateย and respond to identity-related security incidents, such as compromised accounts or anomalous access patterns.ย 
    • Technical Escalation: Actsย as the primary technical point of contact for troubleshooting and resolving complex authentication, authorization, and access-related incidents and service requests from end-users and application teams.ย 
    • Technical Documentation: Developsย andย maintainsย comprehensive technical documentation, including architectural diagrams, configuration guides, operational runbooks, and disaster recovery plans for all IAM systems.ย 
  • Identity Governance, Compliance & Auditย 
    • Vitalย cyclicalย tasks that take upย very littleย day-to-day effort to supportย (e.g., quarterly access reviews or annual audits).ย 
    • Lifecycle Management: Managesย the complete identity lifecycle for all users (employees, contractors, vendors, partners), encompassing automated onboarding, access provisioning, attribute changes, andย timelyย de-provisioning processes.ย 
    • Least Privilege Models: Develops, implements, and enforcesย granular access control policies and Role-Based Access Control (RBAC) models to uphold the principle of least privilege throughout the organization's digital ecosystem.ย 
    • Privileged Access: Designsย andย managesย robust Privileged Access Management (PAM) solutions to secure, monitor, and control access to critical infrastructure and sensitive accounts.ย 
    • Access Governance: Leadsย and executesย periodic access certification campaigns, requiring business owners to review andย validateย user access rights toย maintainย compliance and reduce access creep.ย 
    • Auditsย & Compliance:ย Participatesย actively in internal and external audit activities by providing evidence, explaining controls, and remediation orย findings related to identity and access management.ย 
  • Other duties as assignedย 

Supervision of Others:

N/A

Working Conditions:ย ย 

95% of time is spent in the officeย environmentย utilizingย computers (frequent use of various Microsoft software/programs), phones, and general office equipment.ย 5% of time is spent outside of the office visitingย vendors'ย and/or internal customer sites in addition to attending various conferences and meetings.ย ย 

Fiscal Responsibilities:ย 

N/Aย 

Qualifications

Education/Experience:

  • Bachelor's degreeย required,ย equivalentย years ofย experienceย in this specific field may be substituted for a degree.ย ย 
  • Minimum ofย 6 years of experience in IT/Cybersecurity, with at leastย 4-yearsย heavily focusedย on IAM administration, directory services, and federation protocols (SAML, OIDC, OAuth).ย 
  • Certifications such as CISSP, CompTIA Security+, and/or vendor-specific credentials (e.g., Okta Certified Professional, Microsoft Certified: Identity and Access Administrator Associate)ย preferred.ย ย 
  • Demonstrated experience writing technical documentation, standard operating procedures (SOPs), and runbooks for identity management.ย 
  • Hands-on experience managing enterprise directory services, particularly Microsoft Active Directory (AD) and LDAP.ย 
  • Experience in integrating IAM solutions with a wide range of applications, including SaaS (e.g., Salesforce, Workday, Office 365) and on-premises systems.ย 

Skills/Knowledge/Abilities:

  • Deep expertise in at least one leading IAM platform (e.g., Clear Skye, Veza, Entra ID Governance, Okta, Ping Identity)ย 
  • Strongย proficiencyย in modern authentication and authorization protocols, including SAML, OAuth 2.0, OIDC, and SCIM.ย 
  • Ability toย manageย enterprise directory services, particularly Microsoft Active Directory (AD) and LDAP.ย 
  • Solid scripting and automation skills using languages like PowerShell, Python, or Shell scripting to manage infrastructure and processes.ย 
  • In-depth understanding of core IAM concepts such as Identity Lifecycle Management, Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Federation.ย 
  • Practical knowledge of Privileged Access Management (PAM) and Identity Governance and Administration (IGA) principles and solutions.ย 
  • Ability toย integrateย IAM solutions with a wide range of applications, including SaaS (e.g., Salesforce, Workday, Office 365) and on-premisesย systems.ย 
  • Familiarity with cloud infrastructure identity models, particularly AWS IAM, Azure IAM, and Google Cloud IAM.ย 
  • Understanding ofย networking concepts (TCP/IP, DNS, firewalls, load balancers) as they relate to IAM system connectivity and security.ย 
  • Knowledge of security frameworks and compliance regulations such as NIST, ISO 27001, SOX, GDPR, and HIPAA.ย 
  • Exceptional analytical and problem-solving abilities, with a knack for deconstructing complex technical issues and developing effective solutions.ย 
  • Strong interpersonal and communication skills, capable of explaining complex technical concepts to both technical and non-technical audiences.ย 
  • A collaborative mindset with a proven ability to work effectively in cross-functional teams with developers, system administrators, and business stakeholders.ย 
  • Meticulous attention to detail, especially when dealing with security configurations, access rights, and policy enforcement.ย 
  • A strong senseย of ownership and accountability, with the drive to see projects through from conception to completion.ย 
  • Ability to manage multiple priorities in a fast-paced environment whileย maintainingย a high standard of quality.ย 
  • A proactive and continuous learner, dedicated to staying current with the rapidly evolving landscape of identity security.ย 

Physical Requirements:ย ย 

Ability to lift 50lbsย toย install and manage hardwareย components.ย 

Employment Type: FULL_TIME