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Machine Learning Engineer Jobs in Wichita, KS (NOW HIRING)

Manufacturing Engineer

Wichita, KS

$65K - $84K/yr

Develops learning curve and actual hour projections for new program production incorporation ... Experience in machining discipline and machine shop standards processes is preferred * Excellent ...

Manufacturing Engineer

Wichita, KS · On-site

$65K - $84K/yr

Develops learning curve and actual hour projections for new program production incorporation ... Experience in machining discipline and machine shop standards processes is preferred * Excellent ...

Manufacturing Engineer

Wichita, KS

$65K - $84K/yr

Develops learning curve and actual hour projections for new program production incorporation ... Experience in machining discipline and machine shop standards processes is preferred * Excellent ...

CNC Machinist

Wichita, KS · On-site

$18.25 - $25/hr

Control CNC Programs at the machine following all procedures/protocols * Setup, with full to ... Maintain quality standards focusing on learning how to reduce the number of defects due to ...

Linear Algebra Tutor

Wichita, KS · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Startup Engineer

Wichita, KS · On-site

$34 - $43/hr

Strong fundamental understanding of electrical design practices, machine/motion control systems, electro-mechanical systems, robotics, programming, and system integration * Understanding of PLC ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Startup Engineer

Wichita, KS · On-site

$34 - $43/hr

Strong fundamental understanding of electrical design practices, machine/motion control systems, electro-mechanical systems, robotics, programming, and system integration * Understanding of PLC ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Do you enjoy travel, learning about new places, and meeting new people? Are you interested in ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Do you enjoy travel, learning about new places, and meeting new people? Are you interested in ...

Sr Project Engineer

Hesston, KS · Hybrid

$92K - $127K/yr

The engineering team at AGCO has an immediate opening for an Electrical Design Engineer. The ... Circuit design requirements for 12-volt systems on mobile machinery, Ability to read and understand ...

Sr Project Engineer

Hesston, KS · Hybrid

$92K - $127K/yr

The engineering team at AGCO has an immediate opening for an Electrical Design Engineer. The ... Circuit design requirements for 12-volt systems on mobile machinery, Ability to read and understand ...

This patent professional will work closely with NetApp's engineering, technical, and business ... Experience working with software, cloud, SaaS, data management, storage, AI, machine learning, or ...

Senior Manufacturing Engineer

Wichita, KS · On-site

$81K - $111K/yr

You will have the opportunity to develop yourself through meaningful work projects and learning ... Experience with automation, robotics, CNC machining, assembly lines, and complex manufacturing ...

Manufacturing Engineer

Wichita, KS · On-site

$65K - $84K/yr

Performs other related duties as assigned for the purpose of learning the efficient and effective ... We are committed to maintaining a technological edge with new machine acquisitions and upgrades as ...

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Showing results 1-20

Machine Learning Engineer information

See Wichita, KS salary details

$28.2K

$115.2K

$173.1K

How much do machine learning engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning engineer in Wichita, KS is $115,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $138,700.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Wichita, KS are hiring for Machine Learning Engineer jobs? Cities near Wichita, KS with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Wichita, KS as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,197 per year, or $55.4 per hour.

$65K - $84K/yr

Full-time

Posted 29 days ago


Job description

JOB SUMMARY:

To analyze product designs of parts and assemblies to determine the manufacturability of components, assemblies, and tooling and/or provides technical guidance in the solution of manufacturing customer related difficulties or improvements. Conducts methods and systems studies to improve effectiveness in manufacturing support areas. Researches, improves and cost justifies manufacturing techniques, processes, and procedures to reduce costs while maintaining schedules and improving the product.


JOB RESPONSIBILITIES:

  • Collaborates with Engineering on desired production tooling and build-plan methodology and gives input/feedback on associated design criteria; analyzes engineering design to determine manufacturability of components and assemblies
  • Determines manufacturing processes, tooling methodology, discrete manufacturing operations and associated time standards to be used to produce new parts/assemblies from detail component fabrication thru job-level installation; authors and maintains process plans for shop floor methods/work instructions
  • Develops learning curve and actual hour projections for new program production incorporation; analyzes actual performance and makes necessary process improvement recommendations
  • Creates Manufacturing Bill of Material (MBOM) to break engineering product structure into logical manufacturing methodology and sequence to enable MRP processes for order release, scheduling, and purchased component sourcing activities
  • Provides technical guidance to initiate and drive Root Cause / Corrective Action (RCCA) on production issues related to engineering design, material, tooling, specifications, and processes
  • Analyzes/Interprets engineering drawing, manufacturing operation sequence, tooling function, and process specifications and issues engineering change requests (ECR) to improve or eliminate manufacturing issues in sustaining production operations
  • Analyzes and makes recommendations regarding production facility arrangements for improvements to production capacity, manufacturing flow, new model incorporation, and strategic work transitions; maintains current production area layouts and equipment locations per defined process standards
  • Works with cross-functional personnel to analyze and solve production flow issues stemming from sequence of work, balance of tasks, tooling/equipment constraints, and manpower allocation/training
  • Identifies, justifies, and implements new technology and manufacturing techniques to improve safety/ergonomics, reduce manufacturing cost (labor, material, inventory, scrap), and improve product/process quality
  • Gathers, analyzes, and summarizes production process data for their use in valuing and prioritizing process continuous improvement opportunities; utilizes Lean/CI methodologies to lead, implement, and track improvements and to conduct check and adjust activities to verify sustainment

EDUCATION/ EXPERIENCE:

  • Bachelor's degree required in:
    • Manufacturing Engineering
    • Industrial Engineering
    • Systems Engineering
    • Manufacturing Engineering Technology
    • Another related field


QUALIFICATIONS:

  • Experience in machining discipline and machine shop standards processes is preferred
  • Excellent verbal and written communication skills
  • Strong analytical and problem-solving skills
  • Collaborates and easily gets along in team-based environments
  • Strong mechanical aptitude
  • Excellent organizational skills
  • Computer Proficiency (MS Office, CAD, etc.)


The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

Textron Aviation Inc. must comply with U.S export control laws and regulations. If a position requires access to sensitive information controlled under these laws and regulations, a successful applicant must be eligible to meet any requirements to access controlled information.Â