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Senior Machine Learning Engineer Jobs in Kansas (NOW HIRING)

StackAdapt

$105K - $138K/yr

... machine learning, bid price optimization, user-profile enrichment, and more. The StackAdapt bidding ... Lead and collaborate with a team of engineers to design, implement, and optimize our programmatic ...

SynergisticIT

Junior AngularJS Developer

Overland Park, KS · On-site

$63K - $82K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$118K - $156K/yr

Senior C# Software Engineer We are seeking a full-time Senior C# Software Engineer on our Map Data ... Experience using machine learning, statistical analysis, or data mining techniques to derive ...

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 ...

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 ...

New

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 ...

TENEX.AI

Senior Cybersecurity Analyst

Overland Park, KS · On-site

$98K - $127K/yr

The role involves leveraging AI and machine learning technologies to enhance threat detection and ... Engineering) to promote and improve AI-driven security initiatives and improve the customers ...

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 ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our team and ... pipelines and machine learning models. o Understanding of Generative AI and Deep Learning ...

Sedgwick

Data Engineer AI

Overland Park, KS · On-site

$108K - $130K/yr

... Senior Data Engineer within the Transformation Office, you are the hands-on architect of the data ... Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ...

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 ...

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All 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 Jun 26, 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

Staff/Senior Software Engineer, Programmatic Bidding

StackAdapt

$105K - $138K/yr

Other

Posted 19 days ago

Job description

About the Team:

The Programmatic Bidding team powers our Adtech platform by processing billions of ad auctions every day at millisecond latency. Our Bidding team designs, and builds scalable microservices that span every core aspect of the Adtech pipeline-including pacing, machine learning, bid price optimization, user-profile enrichment, and more. The StackAdapt bidding platform supports hundreds of thousands of advertisers, delivering real-time, intelligent and performant bidding decisions ensuring that every bid is both efficient, and strategically aligned with our customer's business goals. We empower our customers with the best performance driven platform for them to drive the best business decisions, and ROI. 

The ideal candidates we're looking for must have proven experience in Adtech, exceptional analytical thinking, and superior execution skills. You'll thrive here if you are eager to build and experiment with new technologies and approaches, and can back your ideas with rigorous analysis and data-driven, pragmatic approaches.

What You'll Be Doing:
  • Lead and collaborate with a team of engineers to design, implement, and optimize our programmatic bidding systems.  
  • Apply analytical, data-driven, and statistical methodologies to problem solving. Continuously optimizing programmatic performance through experimentation and quantitative analysis.  
  • Collaborate with ML engineers to architect and to build complex, innovative solutions that pushes the boundaries of programmatic advertising capabilities, and drive impactful business results.  
  • Rigorously optimize large-scale distributed systems capable of handling billions of requests per second with ms-level latency, ensuring high throughput and infrastructure performance under demanding workloads.  
  • Partner with Product teams to ship innovative features that advance the company's vision, and drive competitive advantage.  
  • Embody the team mission. Be adaptable, and ground development efforts in pragmatic, results-oriented decision making.  
  • Foster operational excellence across engineering and backend teams by cultivating a culture of trust, transparency and technical excellence  
  • Clearly articulate development ideas and hypotheses, openly embrace technical feedback to support collaborative innovation and continuous improvement.
What You'll Bring to the Table:
  • 3+ years of experience in AdTech or MarTech, ideally working on high-scale or performance-critical systems.
  • Advanced programming expertise in Go (or strong proficiency in comparable languages such as C++, Java, Scala, or Rust). We value engineers who can deliver high-performance applications regardless of language.
  • Experience applying machine learning, mathematics, and numerical methods-including deploying large-scale models and real-time inference systems in production. (This is an applied engineering role, not research-focused.)
  • 5+ years of experience in software development, particularly building high-throughput, low-latency distributed systems and architecting scalable microservices or data pipelines in a fast-growing tech environment.
  • Hands-on experience with multiple database systems, with a solid grasp of their trade-offs and performance considerations.
  • Strong foundation in computer science fundamentals, including data structures and algorithms.
  • Up-to-date knowledge of modern technologies, tools, and frameworks, with curiosity to continuously learn and evolve.
  • Bonus: Interest or experience in computational graphics, GPU programming, game development, game theory, or financial trading systems.

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