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Machine Learning Engineer Jobs in Kansas City, MO

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 ...

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 · 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 ...

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 ...

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 ...

Propio

AI Engineer II

Leawood, KS · On-site

$94K - $129K/yr

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

Propio

AI Engineer II

Overland Park, KS

$94K - $129K/yr

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

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Kansas City, MO

Machine Learning Engineer information

See Kansas City, MO salary details

$30.7K

$125.5K

$188.6K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in Kansas City, MO is $125,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $151,100.00 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 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 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 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 Kansas City, MO?

The most popular types of Machine Learning Engineer jobs in Kansas City, MO are:

What are popular job titles related to Machine Learning Engineer jobs in Kansas City, MO?

For Machine Learning Engineer jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Kansas City, MO look for?

The top searched job categories for Machine Learning Engineer jobs in Kansas City, MO are:

What cities near Kansas City, MO are hiring for Machine Learning Engineer jobs?

Cities near Kansas City, MO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Kansas City, MO as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 74% In-person, 3% Hybrid, and 23% Remote job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

Senior Data Scientist

Shamrock Trading Corporation

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Shamrock Trading Corporation rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Shamrock Trading Corporation
Shamrock Trading Corporation is a family of brands that has been serving the transportation and logistics industries since 1986. Shamrock offers factoring solutions, export financing, third-party logistics, a fuel card program and trucking technology.
Shamrock's mission since the start has been to create value and success for our customers, our partners and our people. Strong ethics, dedication to our customers and close attention to the marketplace are critical to the success and growth of the Shamrock brands. Shamrock is headquartered in Overland Park, Kansas, with multiple offices throughout the U.S. Overland Park is a great place to live, work and play, being conveniently located within driving distance of everything Kansas City has to offer. Housed within the heart of Overland Park, our offices include 4 gorgeous towers on the East and West sides of Metcalf Ave. With a heavy community presence and a winning culture, Shamrock is a great place to work in Overland Park!
Why You'll Love Working Here
Our award-winning culture is a testament to our commitment to growth, recognition and empowerment. From day one, we prioritize employees first, encouraging them to think and act like owners and providing endless opportunities for growth and self-development, both personally and professionally. Shamrock has been recognized as one of America's 2025 "Most Loved Workplaces" by Newsweek.
At Shamrock, we hire bright, ambitious people and give them the tools they need for a successful, long-term career here. Shamrock also offers a premier set of benefits for employees and their families:
  • Training and Development: Ongoing training and professional development opportunities
  • Medical: Fully paid healthcare, dental and vision premiums for employees and eligible dependents, and gym benefits
  • Financial: Generous company 401(k) contributions and employee stock ownership after one year
  • Work-Life Balance: Competitive PTO and fully paid time off opportunities to volunteer within your community

About the Role
Shamrock Trading Corporation is looking for a Data Scientist to join our team with a focus on fraud detection and risk assessment across our factoring, payments, lending, and freight marketplace businesses. Data Scientists partner closely with business stakeholders, analysts, and Machine Learning Engineers to explore data, build and evaluate models, and communicate findings that drive efficiency, enable risk management, and support strategic objectives.
This role will apply statistical, analytical, and machine learning techniques to help Shamrock better identify suspicious behavior, reduce financial loss, improve risk decisioning, and support faster, more confident customer funding decisions. The Data Scientist will work closely with Product, Credit, Risk, Operations, Data Services, Machine Learning Engineers, and business stakeholders to understand fraud patterns, build risk signals, evaluate models, and translate findings into practical business action.
This role is well-suited for a data scientist or advanced analytics professional with experience in fraud, risk, credit, marketplace abuse, payments, lending, logistics, or identity verification who wants to apply those skills to complex real-world problems in freight and financial services.
What You'll Do
  • Translate fraud, risk, and credit questions into analytical and modeling approaches
  • Analyze invoice, funding, payment, carrier, debtor, customer, behavioral, and operational data to identify risk patterns and emerging fraud trends
  • Develop and evaluate analytical and machine learning models to support fraud detection, risk scoring, anomaly detection, and early warning indicators
  • Partner with Product, Credit, Risk, Audit, Operations, and business stakeholders to define risk signals, success metrics, decision thresholds, and model evaluation criteria
  • Coordinate with Machine Learning team to transfer custom models into production deployments and platform integrations
  • Partner with Data Analysts and BI teams to connect fraud and risk initiatives with reporting, monitoring, and business performance metrics
  • Document assumptions, methodologies, data limitations, model performance, and findings to support transparent decision-making
  • Stay current on fraud patterns and risk approaches across factoring, freight, logistics, payments, lending, and marketplace businesses

What You'll Bring
Required
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Analytics, Computer Science, Applied Mathematics, Engineering), or equivalent practical experience
  • Experience with relational databases and SQL
  • Experience using statistical programming languages (Python, R, etc.)
  • Knowledge of modern data platforms or cloud environments (Databricks, AWS, etc.)
  • Experience using Git and collaborative development workflows
  • Experience applying statistical or analytical techniques to real-world business problems (regression, classification, distributions, optimization, etc.)
  • Experience visualizing/presenting data for stakeholders (Power BI, Tableau, etc.)
  • Strong analytical thinking, problem-solving skills, and curiosity about business, fraud, and risk drivers
  • A drive to learn new technologies, fraud patterns, risk techniques, and industry context

Preferred
  • Experience in fraud analytics, risk analytics, credit risk, underwriting, payments fraud, marketplace fraud, identity verification, logistics, freight brokerage, factoring, asset-based lending, SMB lending, commercial lending, or financial services
  • Experience building or supporting fraud detection, anomaly detection, risk scoring, credit scoring, identity risk, or transaction monitoring models
  • Experience working with adversarial risk problems where bad actors change behavior in response to controls
  • Experience with entity resolution, graph analytics, network analysis, behavioral analytics, or relationship-based risk detection
  • Experience working with invoice, payment, bank account, carrier, debtor, customer, document, device, or transaction-level data
  • Experience partnering with Product, Engineering, Operations, Credit, Risk, or Compliance teams to move analytical work into business processes or production systems

Apply Today!
We're so excited to connect with you! If you want to work with forward-thinking people in an award-winning culture, submit your application today.
#LI-MB1 #LI-Onsite
Having trouble submitting your application? Contact us at Recruiting@shamrocktradingcorp.com for support.

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