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Mlops Jobs in Kansas (NOW HIRING)

$131K - $235K/yr

As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational ...

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

Build and maintain data pipelines and MLOps workflows to support model deployment and lifecycle management * Contribute to system architecture decisions, integration patterns, and reusable AI ...

In terms of skills, they are looking for experts in risk adjustment coding, MLOps engineering, solution architecture, research engineering, and DevOps engineering. * Define project scope, goals, and ...

MLOps Tools (MLflow, Sagemaker, Vertex AI) * Experience with common agentic workflow frameworks (e.g., LangChain, LlamaIndex). * Expert-level proficiency in a high-level coding language (Python, or ...

Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments. Skills & Experience * Experience thriving at the intersection of machine learning ...

Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows * Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases * Understanding of A/B testing and ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Hands‑on experience with MLOps, model deployment, and CI/CD for data science workflows * Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases * Understanding of A/B testing and ...

Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...

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Mlops information

See Kansas salary details

$89.6K

$140.6K

$167.3K

How much do mlops jobs pay per year?

As of Aug 12, 2026, the average yearly pay for mlops in Kansas is $140,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,884.00 and $152,751.00 per year, depending on experience, location, and employer.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

What are the key skills and qualifications needed to thrive as an MLOps engineer?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
What are the most commonly searched types of Mlops jobs in Kansas? The most popular types of Mlops jobs in Kansas are:
What are popular job titles related to Mlops jobs in Kansas? For Mlops jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Mlops jobs? Cities in Kansas with the most Mlops job openings:
Infographic showing various Mlops job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 71% Physical, 10% Hybrid, and 19% Remote job distribution, with an average salary of $140,643 per year, or $67.6 per hour.

Senior Machine Learning Engineer, MLOps West Coast

Autodesk

On-site

$131K - $235K/yr

Full-time

Re-posted 18 days ago


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

25th of 243 rated software companies


Job description

Job Requisition ID #

26WD96432

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.

As aSeniorMachine LearningEngineerfocused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational excellence across Autodesk products. You will build and operate the infrastructure that takes models from development into production, including deployment automation, monitoring, and secure, scalable service integration. You will partner closely with researchers, evaluation engineers, and product teams to translate evaluation requirements into production quality gates, reduce operational risk, and continuously improve model performance in real customer environments.

You will report to a manager in the Model Delivery team within Autodesk Research. This role is based in proximity to our North American west coast offices, including San Francisco, Portland, and Vancouver. We support both in-person, hybrid, and remote work.

Responsibilities

  • Test and Deploy Production Models:Automate model testing and validation. Implement and operate CI/CD pipelines to enable safe, repeatable deployments and rollbacks.
  • Operate Inference Services:Provision and manage backend resources for inference (compute, containers, scaling), and tune performance, reliability, and cost in production.
  • Monitor Model Health and Performance:Define and continuously monitor health and performance metrics for deployed services. Triage issues by severity and drive timely resolution, including incident response and runbooks.
  • REST API Integration:Own end-to-end REST API integration, connecting backend model services to product and platform surfaces through scalable, containerized services.
  • Product Ownership and Cross-functional Collaboration:Work with researchers, evaluation engineers, product managers, and partner engineering teams to deliver production-ready solutions, communicate status and risks, and escalate when needed.

Minimum Qualifications

  • BS or MS in Computer Science, Computer Engineering, or equivalent industry experience.
  • 3+ years of professional software engineering experience building and operating production services.
  • Experience automating testing and deployments using CI/CD, including release workflows that support safe rollouts and rollbacks.
  • Experience building and operating cloud hosted, containerized services (for example Docker and Kubernetes or similar), including provisioning resources and scaling inference workloads.
  • Experience building REST APIs using Python based frameworks (or similar), and integrating backend services with product or platform consumers.
  • Strong software engineering fundamentals: version control, code quality, and writing maintainable, testable software.
  • Strong written communication skills to document architectures, runbooks, and operational processes.

Preferred Qualifications

  • Experience running production ML or LLM inference services, including performance tuning, cost optimization, and capacity planning.
  • Experience with observability tooling and practices (metrics, logging, tracing, alerting) and incident response in an on-call environment.
  • Experience deploying services within an enterprise internal platform environment with standardized pipelines, security controls, and compliance requirements.
  • Familiarity with rate limiting, authentication and authorization, and API security best practices.
  • Familiarity with design, manufacturing, or AEC workflows, and how backend services integrate into CAD/BIM product experiences.
  • Familiarity with Agile or Scrum ways of working.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $131,400 and $235,950. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.


Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


What Autodesk employees say

Pay

Hours and flexibility

Workplace

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982