1

Product Manager Machine Learning Jobs in Kansas (NOW HIRING)

Collaborate with software engineers to integrate machine learning models into production systems. * Analyze large data sets and develop models for predictive analytics and forecasting. * Monitor and ...

Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams

Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...

Senior Machine Learning Engineer

Wichita, KS

$93.50K - $128.40K/yr

As the first dedicated internal Machine Learning Engineer for this product, they willplay ... Collaborate with cross-functional teams including project managers, technicians, and other ...

Senior Machine Learning Engineer

Wichita, KS · On-site

$103.20K - $141.60K/yr

As the first dedicated internal Machine Learning Engineer for this product, they will play a ... Collaborate with cross-functional teams including project managers, technicians, and other ...

Senior Machine Learning Engineer

Wichita, KS · On-site

$93.50K - $128.40K/yr

As the first dedicated internal Machine Learning Engineer for this product, they will play a ... Collaborate with cross-functional teams including project managers, technicians, and other ...

next page

Showing results 1-20

Product Manager Machine Learning information

See Kansas salary details

$45.9K

$142.2K

$175.7K

How much do product manager machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for product manager machine learning in Kansas is $142,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $175,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Kansas? For Product Manager Machine Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Kansas look for? The top searched job categories for Product Manager Machine Learning jobs in Kansas are:
What cities in Kansas are hiring for Product Manager Machine Learning jobs? Cities in Kansas with the most Product Manager Machine Learning job openings:
Machine Learning / AI Engineer

Machine Learning / AI Engineer

Samprasoft

Lenexa, KS • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Machine Learning/ AI Engineer

Randstad Technologies is seeking a highly skilled Machine Learning/ AI Engineer to join our team. The ideal candidate will have a strong background in Python, OpenCV, Tensorflow. The successful candidate will be responsible for developing and deploying machine learning algorithms and models to solve complex business problems. This is a contract position.

Key Responsibilities:
  • Develop and deploy machine learning algorithms and models using Python, OpenCV, Tensorflow, Keras, and scikit-learn.
  • Work closely with the data science team to create scalable and efficient data pipelines and algorithms.
  • Collaborate with software engineers to integrate machine learning models into production systems.
  • Analyze large data sets and develop models for predictive analytics and forecasting.
  • Monitor and maintain machine learning systems to ensure accuracy and efficiency.
  • Stay up to date with the latest machine learning techniques and tools.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
  • Strong proficiency in Python, OpenCV, Tensorflow
  • Experience with Keras, and scikit-learn is a plus.
  • Experience developing and deploying machine learning models in a production environment.
  • Experience with data preprocessing, feature engineering, and model selection.
  • Strong understanding of statistics, probability theory, and linear algebra.
  • Experience with deep learning models and frameworks is a plus.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker) is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork skills.

If you meet these requirements and are passionate about working with cutting-edge technology to solve complex business problems, we encourage you to apply for this exciting opportunity.