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Senior Machine Learning Jobs in Kansas (NOW HIRING)

TreviPay

Sr Decision Science Analyst

Overland Park, KS · On-site

$87K - $115K/yr

As a Senior Decision Science Analyst , you'll sit at the intersection of data, risk, and business ... machine learning, SVM, and more) Prior leadership experience Why you will love working at TreviPay

Randstad

CNC Machine Operator - Now Hiring

Wichita, KS · On-site

$18 - $27/hr

If you are reliable and committed to learning advanced cnc setup and quality checking, we offer ... assist senior CNC operators with simple tasks like touching off tools and making basic offset ...

Dairiconcepts, L.P.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... machine learning operations (MLOps), AI-enabled applications, large-scale data platforms, or other advanced analytics environments in production * deploying, monitoring, and supporting business ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... machine learning operations (MLOps), AI-enabled applications, large-scale data platforms, or other advanced analytics environments in production * deploying, monitoring, and supporting business ...

TreviPay

Sr Decision Science Analyst

Overland Park, KS · On-site +1

$87K - $115K/yr

As a Senior Decision Science Analyst , you'll sit at the intersection of data, risk, and business ... machine learning, SVM, and more) • Prior leadership experience Why you will love working at ...

Garmin Ltd.

Senior Software Engineer - Audio

Olathe, KS · On-site

$125 - $150/hr

Overview We are seeking a full-time Sr C/C++/Python Software Engineer -Audio Processing on our Core ... Familiarity with machine learning techniques related to audio processing Garmin International is an ...

Nvidia

$105K - $138K/yr

Expertise in machine learning compilers (e.g. Apache TVM, MLIR) * Open source project ownership or contributions Your base salary will be determined based on your location, experience, and the pay of ...

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 ...

Propio

Senior AI Engineer

Overland Park, KS · On-site

$101K - $139K/yr

We are looking for a highly skilled and hands-on Senior AI Engineer to lead the design, development ... machine learning systems. * Prototype, build, and deploy real-time AI applications and ...

Locatee AG

$89K - $123K/yr

We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ... In this highly hands-on role, you will turn advances in generative AI and machine learning into ...

Locatee Ag

$89K - $123K/yr

We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ... In this highly hands-on role, you will turn advances in generative AI and machine learning into ...

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Senior Machine Learning information

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

Is senior machine learning a high paying job?

Senior machine learning roles typically offer high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies by industry, location, and experience, but these positions are generally among the higher-paying roles in tech and data science fields.

What are the most commonly searched types of Machine Learning jobs in Kansas?

The most popular types of Machine Learning jobs in Kansas are:

What are popular job titles related to Senior Machine Learning jobs in Kansas?

For Senior Machine Learning jobs in Kansas, the most frequently searched job titles are:

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The top searched job categories for Senior Machine Learning jobs in Kansas are:

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Cities in Kansas with the most Senior Machine Learning job openings:

Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Sr Decision Science Analyst

Overland Park, KS • On-site

TreviPay
Finance and Insurance • 501 - 1,000 employees
Learn more about TreviPayexternal

$87K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.

  • Access, cleanse, and analyze relevant internal and external data to support the creation, monitoring, and improvement of effective B2B credit risk management and pricing strategy techniques.

  • Analyze risk and pricing strategies, including the predictive models built for those strategies in Credit and Fraud, and monitor their performance.

Job description

At TreviPay, we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers, open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options, TreviPay brings 40 years of experience serving leaders in manufacturing, retail and transportation.  
Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment. 

As a Senior Decision Science Analyst, you'll sit at the intersection of data, risk, and business strategy. You'll use analytics and predictive modeling to uncover insights, evaluate portfolio performance, and guide critical credit, fraud, and pricing decisions. Partnering with teams across the organization, you'll help solve complex business challenges, influence strategic initiatives, and deliver data-driven solutions that support growth while managing risk.

Responsibilities


   Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
   Access, cleanse, and analyze relevant internal and external data to support the creation, monitoring, and improvement of effective B2B credit risk management and pricing strategy techniques across for existing account management.
   Conduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements.
   Support Engineering and Product teams with resolution of roadblocks and interdependencies.
   Analyze risk and pricing strategies, including the predictive models built for those strategies in Credit and Fraud.
   Monitor the results of risk and pricing strategies by evaluating performance relative to expectations.
   Develop monitoring tools to evaluate continued performance of both generic and custom models
   Support the development (or build yourself) of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk position, for both application and portfolio risk.
Requirements:


   Bachelor's Degree Required
   Minimum 6 years of proven work experience in a highly analytical environment performing complex business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders.
   Strong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles
   Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
   Ability to extract, cleanse, merge and analyze data from varied internal and external sources.
   Strong analytical and data simulation skills including SAS and/or Python, MS Excel, Enterprise Reporting BI tools, or similar analytical and reporting/data visualization packages.
   Strong presentation skills and proficiency in MS Word and PowerPoint
   Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
   Ability to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
   High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risk
   The ability to multitask in a fast-paced environment
   Strong communication skills, both verbal and written

Preferred Qualifications:


   Bachelor's or Master's Degree in Statistics, Mathematics or similar quantitative field of study
   Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles 
   Statistical modeling experience (logistic regression, machine learning, SVM, and more)
   Prior leadership experience

Why you will love working at TreviPay
  • Competitive salary
  • Paid parental leave
  • Generous paid time off
  • Medical, dental, vision, FSA, Life/AD&D, long and short term disability
  • 401K matching
  •  Employee referral program
At TreviPay we believe:
  • in saying yes to unique and challenging requirements
  • empowered team members are creative team members
  • our products make the customer's day just a little bit better
  • work/life balance makes us all more effective
TreviPay is an Equal Opportunity and Affirmative Action Employer.  We welcome all veterans and disabled applicants.
 
Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contact [email protected] to request an accommodation.
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