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Senior Machine Learning Engineer Jobs in Kansas (NOW HIRING)

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS

$52.25 - $70/hr

Leggett & Platt is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA ... Azure Machine Learning, Azure Cognitive Services). * Familiarity with agentic AI concepts and ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS

$52.25 - $70/hr

Leggett & Platt is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA ... Azure Machine Learning, Azure Cognitive Services). * Familiarity with agentic AI concepts and ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Leggett & Platt is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA ... Azure Machine Learning, Azure Cognitive Services). * Familiarity with agentic AI concepts and ...

Ascend Learning

AI Engineer

Leawood, KS · On-site

This role builds, tests, and deploys scalable solutions using Generative AI and Machine Learning (ML) foundational models. The AI Engineer is a product-minded, hands-on technical contributor who ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

Garmin is seeking a full-time Senior C# Software Engineer on their Map Data team at their U.S ... using machine learning, statistical analysis, or data mining techniques to derive insights or ...

Ascend Learning

Senior Systems Engineer

Leawood, KS · On-site

$101K - $139K/yr

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... The Senior Systems Engineer will be responsible for the implementation and support of the company ...

SynergisticIT

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Propio

AI Engineer II - Translation

Leawood, KS · On-site

We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$50.75 - $68/hr

Leggett & Platt is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA ... Azure Machine Learning, Azure Cognitive Services). • Familiarity with agentic AI concepts and ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111K - $152K/yr

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... WHAT YOU'LL DO The Senior Security Engineer, Vulnerability & Threat Management will contribute to ...

Motive Companies

CNC Machine Operator

Olathe, KS

$20 - $28/hr

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Kansas

Senior Machine Learning Engineer information

See Kansas salary details

$53.1K

$112.9K

$163.7K

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

As of Jul 16, 2026, the average yearly pay for senior machine learning engineer in Kansas is $112,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Kansas? For Senior Machine Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Kansas look for? The top searched job categories for Senior Machine Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Senior Machine Learning Engineer jobs? Cities in Kansas with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior 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 $112,870 per year, or $54.3 per hour.
Senior Sensor Algorithms Software Engineer

Senior Sensor Algorithms Software Engineer

Garmin International, Inc.

Olathe, KS • On-site

$118K - $156K/yr

Full-time

Re-posted 28 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

9th of 142 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Senior Sensor Algorithms Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area to join our Core Platform Technology Team. As a member of our sensor algorithms team you will create and implement cutting edge sensor-based algorithms that help people beat yesterday. This team's work spans across multiple Garmin products and includes features such as activity monitoring, sports metrics, elevation-based features, and safety features.
Essential Functions
  • Design, develop, and advance innovative algorithms that utilize sensors, including accelerometers, gyroscopes, magnetometers, and barometric pressure sensors.
  • Explore novel and cutting-edge sensors and algorithms technologies and applications.
  • Collaborate with team members and other developers in algorithm development, technical assessments in areas of expertise, peer code reviews, and software design.
  • Participate in project leadership and planning, including aligning with project stakeholders and providing technical input to development plans.
  • Develop embedded software solutions, primarily in C++ and C, to be used throughout Garmin's extensive ecosystem of consumer electronics products, including smartwatches, cycling computers, and more.
  • Coordinate closely with team members and product team engineers across Garmin to integrate and maintain algorithm solutions that serve our customers.
  • Perform significant mathematical, statistical, and data analysis as part of the algorithm development process.
  • Evaluate and understand various design tradeoffs including power consumption, cost, system constraints, reliability, and time to market.
  • Offer process improvement suggestions and author new procedures as appropriate.
  • Mentor less experienced Software Engineers, providing technical expertise and guidance.

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience OR an equivalent combination of education and experience
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Relevant industry software engineering experience, which must include:
    • Experience with real-time signal processing on sensor data.
    • Proficiency in writing software in C and C++ on embedded processors.
    • Use of Python for signal processing, visualization, and statistical analysis.
    • Experience with collaborative software development in a team environment
    • Strong and effective verbal, written, and interpersonal communication skills.
    • Strong quantitative, math, statistics, physics, and dynamics knowledge.

Desired Qualifications
  • Outstanding academics (cumulative GPA greater than or equal to 3.5)
  • Experience with inertial sensors, magnetic, and/or barometric pressure sensors.
  • Experience with sensor fusion, time series analysis, Kalman filtering, and/or digital signal processing (DSP).
  • Experience with data science, statistics, linear regression, deep learning, reinforcement learning, and/or other machine learning techniques.
  • Experience with attitude and heading reference systems (AHRS), altimeter systems, GPS/GNSS positioning solutions, and/or inertial navigation systems (INS).
  • Experience working on multiple simultaneous development projects.
  • Experience debugging complex problems on embedded systems.
  • Interest and ability to learn other coding languages and relevant algorithm development skills as needed.
  • Excitement to create and deliver algorithms for runners, cyclists, hikers, golfers, athletes, fitness buffs, and any person seeking to beat yesterday.

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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