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Senior Machine Learning Jobs in Kansas (NOW HIRING)

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

Lawton OK; or Round Rock, TX JobPurpose/Summary The Machine Learning Engineerwillbuild and integrate machine learning solutions into our next-generation space and critical infrastructure defense ...

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

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 ...

PICTOR LABS INC

$89K - $123K/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 ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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 ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the ... Design and implement statistical models, anomaly detection algorithms, and machine learning ...

Amgen

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Director - BioIntelligence What you will do Let's do this. Let's change the world. The AI ... The BioIntelligence team applies machine learning, statistical modeling, and generative AI ...

Accenture

Senior Data Scientist

Overland Park, KS · On-site

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... Develop supervised and unsupervised machine learning solutions, including classification ...

Shamrock Trading Corp.

Senior Data Scientist

Overland Park, KS · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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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:

What job categories do people searching Senior Machine Learning jobs in Kansas look for?

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

What cities in Kansas are hiring for Senior Machine Learning jobs?

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 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer

Knowmadics

Wichita, KS • On-site

$93K - $128K/yr

Full-time

Re-posted 10 days ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX


JobPurpose/Summary

The Machine Learning Engineerwillbuild and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities.Theywillleveragea variety of machine learning approaches to processvery largestreams 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 willplay acriticalrole inrequirements generation, team leadership, andinfluencing the future of our products.

This is a demanding product development role, not a researchposition.Success on year one involves the design, training,optimization,validationand implementation of high-performance inference pipelinesat 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 andResponsibilities

  • Lead the development+implementation ofreal-timefeature detection and anomaly detectionmodels
  • 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

  • 7-10YoEas a SWE or ML engineer building applied research and/or production technologies
  • Expertiseon 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 strongproficiencyin 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. Citizenshiprequired.

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,helmetc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions

  • Employees may be called upon toparticipatein in-person meetings,training, or company functions atKnowmadicsoffices or other designated locations. Travel in support of business operations may also berequired, and employees are expected tocomply withthese obligations as part of their position.
  • Candidateshould 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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