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Senior Machine Learning Engineer Jobs in Kansas (NOW HIRING)

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93.50K - $128.40K/yr

Wichita, KS; Lawton OK; or Round Rock, TX Job Purpose/Summary The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical ...

Knowmadics

Senior Machine Learning Engineer

Wichita, KS

$93.50K - $128.40K/yr

As the first dedicated internal Machine Learning Engineer for this product, they willplay acriticalrole inrequirements generation, team leadership, andinfluencing the future of our products. This is ...

PICTOR LABS INC

$89.70K - $123.20K/yr

About the Role We are seeking an experienced Senior ML Inference Engineer to join our team, focusing on optimizing and deploying our production virtual staining models at scale. The ideal candidate ...

Indeed

Machine Learning Engineer

Kansas City, KS · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... senior guidance * Excellent understanding of model evaluation techniques, feature engineering ...

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and ...

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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 3, 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 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 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 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
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Knowmadics

Wichita, KS • On-site

$93.50K - $128.40K/yr

Full-time

Posted 24 days ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities. They will leverage a variety of machine learning approaches to process very large streams of unstructured data in real time in scalable and secure cloud-native environments. As the first dedicated internal Machine Learning Engineer for this product, they will play a critical role in requirements generation, team leadership, and influencing the future of our products.
This is a demanding product development role, not a research position. Success on year one involves the design, training, optimization, validation and implementation of high-performance inference pipelines at scale.The role will play a key part in building and delivering initial machine learning capabilities for our MVP offering and may evolve over time to include involvement in hiring and mentorship as the team grows.
Duties and Responsibilities
  • Lead the development + implementation of real-time feature detection and anomaly detection models
  • Generate data characteristic requirements for real-time data processing pipelines
  • Prepare technical documentation, reports, and specifications
  • Collaborate with cross-functional teams including project managers, technicians, and other engineers
  • Perform testing, troubleshooting, and quality assurance on systems or products
  • Ensure compliance with safety regulations, industry standards, and company policies

Qualifications
  • 7-10 YoE as a SWE or ML engineer building applied research and/or production technologies
  • Expertise on building production training and inference pipelines in python
  • A strong familiarity and personal preference for one or more deep learning libraries (ex. pytorch)
  • A comprehensive understanding of systems programming (a strong proficiency in C would imply this)
  • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.)
  • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.)
  • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads
  • Experience packaging and deploying trained inference models for use in production environments
  • Minimum education requirement: High school diploma
  • Eligible to obtain a U.S. Security Clearance - U.S. Citizenship required.

Bonus Qualifications
  • Experience integrating trained inference pipelines into scalable cloud-native infrastructure
  • Experience building backend services and implementing API endpoints for scalable infrastructure
  • Experience building technology for air-gapped production deployment environments
  • Knowledge and experience with OCI technologies (docker, kubernetes, helm etc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions
  • Employees may be called upon to participate in in-person meetings, training, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Candidate should live within driving distance of the following areas: Waldorf, Md; Wichita, KS; Lawton OK; or Round Rock, TX
  • Estimated Travel: 0-10%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None

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