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Director Machine Learning Jobs in Kansas (NOW HIRING)

Amgen

The BioIntelligence team applies machine learning, statistical modeling, and generative AI ... directing the allocation or resources. Your managerial experience may run concurrently with the ...

Epiq

Advanced Technologies Consultant

Overland Park, KS · On-site

$110K - $135K/yr

... machine learning and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and ...

Miamioh

Director, Business Intelligence Team

Hoyt, KS · On-site

$155K/yr

Job Title Director, Business Intelligence Team Department Solution Delivery Worker Type Regular Pay ... Experience applying predictive analytics, machine learning, or AI capabilities to business or ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping ... Background in data mining, machine learning, statistical analysis, and modeling. * Strong SQL ...

Epiq

Senior Director of Product Development

Overland Park, KS · On-site +1

$230K - $241K/yr

The Senior Director of Engineering will lead a large global engineering organization responsible ... Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows.

Huyett

Machine Technician

Minneapolis, KS · On-site

$19.50 - $24.50/hr

Interest in career development and personal learning. * Excellent organizational, time management ... direct sales force to realize significant competitive advantage. The firm currently has five ...

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Director Machine Learning information

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$32.1K

$82K

$125.8K

How much do director machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director machine learning in Kansas is $81,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $94,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 Director Machine Learning jobs in Kansas?

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

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

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

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

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

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,990 per year, or $39.4 per hour.

Senior Machine Learning Engineer

Knowmadics

Wichita, KS

$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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