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Machine Learning Engineer Jobs in Leawood, KS (NOW HIRING)

Pwc

AI Engineer

Kansas City, MO · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Highbrow LLC

Data Scientist / ML Engineer

Overland Park, KS · On-site

$100 - $130/hr

Data Scientist / ML Engineer Year Of Experience : 7+ years Location: Overland Park KS/ Frisco TX ( ... Expertise with scaling pilot machine learning solutions to a large scale production environment ...

New

Pwc

AI Solutions Engineering Delivery Lead

Kansas City, MO · On-site

$100K - $131K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO AI Engineering Manager

Kansas City, MO · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Lead Forward Deployed Engineer - AWS

Kansas City, MO · On-site

$100K - $131K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Kansas City, MO · On-site

$102K - $140K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

27Global

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

Design and optimize data pipelines that support AI, machine learning, and advanced analytics workloads. Implement data preprocessing, feature engineering, and real-time inference capabilities for ...

27Global

Data Engineer II

Leawood, KS · Hybrid

$111K - $133K/yr

Design and optimize data pipelines that support AI, machine learning, and advanced analytics workloads. Implement data preprocessing, feature engineering, and real-time inference capabilities for ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Design and optimize data pipelines that support AI, machine learning, and advanced analytics workloads. * Implement data preprocessing, feature engineering, and real-time inference capabilities for ...

Pwc

NGA AI Engineer Manager

Kansas City, MO

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads. * Implement and productionize feature engineering pipelines, model data pipelines, and ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads. Implement and productionize feature engineering pipelines, model data pipelines, and real ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Leawood, KS

Machine Learning Engineer information

See Leawood, KS salary details

$30.6K

$125.3K

$188.3K

How much do machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer in Leawood, KS is $125,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Leawood, KS? The most popular types of Machine Learning Engineer jobs in Leawood, KS are:
What are popular job titles related to Machine Learning Engineer jobs in Leawood, KS? For Machine Learning Engineer jobs in Leawood, KS, the most frequently searched job titles are:
What cities near Leawood, KS are hiring for Machine Learning Engineer jobs? Cities near Leawood, KS with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Leawood, KS as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $125,276 per year, or $60.2 per hour.

Research Engineer / Robotics / ML

Motion Recruitment

Lenexa, KS • On-site

Full-time

Re-posted 6 days ago

Job description

A robotics and AI team in Kansas is looking for a Research Engineer to help build the systems that power real world machine learning. This is a full-time role where you will be working across robotics, computer vision, and applied ML, using tools like ROS/ROS2, Python, C++, and PyTorch/TensorFlow.
Robots are out in the real-world collecting data, and your job is to help make sure that data is usable, structured, and feeding into machine learning models in the right way. If you are early in your career and want real exposure to robotics, ML and data systems all in one place, this is a rare setup.
Required Skills & Experience
  • 1-2 years of experience with robotics and machine learning (Internship experience acceptable)
  • Graduated with a bachelor’s degree in Computer Science
  • Experience with ROS/ROS2 frameworks
  • Proficiency in Python and C++
  • Worked with ML models (PyTorch/TensorFlow/ sklearn)
  • Experience working with data pipelines or making raw data usable for AI systems
Desired Skills & Experience
  • Exposure to robotic manipulators or mobile robot systems
  • Experience with biometric/ identity verification systems
  • Familiarity with cloud platforms
What You Will Be Doing
Tech Breakdown
  • 40% Robotics Systems
  • 35% Machine Learning
  • 25% Data Engineering
Daily Responsibilities
  • 50% Hands On
  • 30% Team Collaboration
  • 20% Systems improvement

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply