ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Kansas

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science. * Teaching experience in higher education. * Experience utilizing AI tools, business ...

Bausch + Lomb

AI Agent ML Engineer

Topeka, KS · On-site

$165K - $190K/yr

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field. * 3+ years experience in AI/ML engineering, agent development, process ...

PICTOR LABS INC

$89K - $123K/yr

About the Role We are seeking an experienced Senior ML Inference Engineer to join our team, focusing on optimizing and deploying our production virtual staining models at scale. The ideal candidate ...

Autodesk

Job Requisition ID # 26WD94803 Senior Principal Machine Learning Engineer, ML Platform and Systems Architecture Position Overview The work we do at Autodesk touches nearly every person on the planet.

Autodesk

Job Requisition ID # 26WD97132 26WD97132, Pr incipal Machine Learning Engineer, ML Platform and Systems Architecture French translation to follow!/Traduction francaise a suivre! Position Overview The ...

Accenture

Agentic DevOps Lead

Overland Park, KS · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Key Responsibilities * Lead Agentic DevOps Strategy : Define and implement scalable DevOps ...

StackAdapt

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands ...

Varsity Tutors

Machine Learning Tutor

Wichita, KS · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Overland Park, KS · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Ascend Learning

AI Engineer

Leawood, KS · On-site

This role builds, tests, and deploys scalable solutions using Generative AI and Machine Learning ... Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering or closely ...

Twin Valley

AI Transformation Lead

Overland Park, KS · On-site

... artificial intelligence / machine learning, computer science, data science, software engineering, or related technology field required. • Strong understanding of how data quality, structure ...

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Kansas

Artificial Intelligence Machine Learning Engineer information

See Kansas salary details

$28.1K

$114.8K

$172.6K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for artificial intelligence 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 is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Kansas? For Artificial Intelligence Machine Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Kansas look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Kansas with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Kansas as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,843 per year, or $55.2 per hour.
Faculty, Business & AI (12 mo)

Faculty, Business & AI (12 mo)

WSU Tech

Wichita, KS • On-site

$58K/yr

Full-time

Posted 6 days ago

Job description

WSU Tech is seeking an innovative and student-focused Business Administration Faculty member to help prepare students for success in today's rapidly evolving business environment. This position combines traditional business instruction with the practical application of emerging technologies and artificial intelligence, helping students develop the skills employers need now and in the future.

  • Compensation: $58,926.40/yr
  • Worksite Location: South Campus / Online

Overview / Job Summary:

As a faculty member, you will deliver engaging instruction in Business Administration courses through classroom, hybrid, and online formats. You will help students build a strong foundation in business principles while introducing them to the responsible and effective use of AI tools in modern workplaces.

Your day-to-day responsibilities will include:

  • Develop and maintain course syllabi aligned with learning outcomes and industry expectations.
  • Deliver engaging instruction using current teaching methods and instructional technologies.
  • Integrate artificial intelligence concepts, tools, and applications into business coursework where appropriate.
  • Develop, assess, and continuously improve course materials and curriculum.
  • Support institutional AI initiatives and collaborate on curriculum modernization efforts.
  • Maintain office hours and provide academic support to students.
  • Participate in assessment activities and continuous program improvement.
  • Collaborate with high school partners, industry partners, college leadership, and cross-functional teams.
  • Foster a student-centered learning environment that promotes ethical and practical use of AI in business settings.

Requirements

Education:

  • Master's Degree in Business Administration, Management, Organizational Leadership, Business Technology, or a related field.

Experience & Skills:

  • Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science.
  • Teaching experience in higher education.
  • Experience utilizing AI tools, business technologies, or data-driven decision-making processes.
  • A passion for student success and workforce readiness.
  • Strong communication and interpersonal skills.
  • Ability to engage and motivate diverse learners.
  • Proficiency with learning management systems, educational technology, and emerging AI tools.
  • Commitment to innovation, continuous improvement, and staying current with business and AI trends.
  • Strong organizational and classroom management skills.
  • Ability to work independently and collaboratively in a team-oriented environment.

Benefits

https://wsutech.edu/whyhere/

WSU Tech is committed to inclusive and equitable practices to create an environment and culture where students and employees thrive. We acknowledge that through valuing diverse identities, experiences, talents, and gifts, we excel by fulfilling our mission to create a talent pipeline, establish workforce equity, and improve economic prosperity for our community. WSU Tech is an Equal Opportunity Employer.

WSU Tech logo

About WSU Tech

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

201 - 500 Employees

Headquarters location

Wichita, KS, US

Year founded

1965

Social media

Twitter

View All WSU Tech Jobs