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Junior Machine Learning Jobs in Kansas (NOW HIRING)

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Design, implement, and refine predictive models using machine learning and statistical ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks. * Provide technical leadership and mentorship to junior data engineers ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Kansas

Junior Machine Learning information

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$6

$24

$42

How much do junior machine learning jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for junior machine learning in Kansas is $24.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $29.57 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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 Junior Machine Learning jobs in Kansas?

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

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

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

Junior Machine Learning jobs near you
Infographic showing various Junior 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, with an average salary of $50,005 per year, or $24 per hour.

Junior Software Engineer - Internship

Aechelon Technology

Overland Park, KS • On-site

Internship

Re-posted 27 days ago

Job description

We are currently seeking students who have attained Sophomore or Junior Status in Computer Science or Computer Engineering programs to join our Summer Internship program. In addition to technical acumen, we highly value leadership skills as we believe innovation thrives when developers take initiative to make great software.

This position will be a member of our core 3D Graphics Software Engineering team, which develops pC-Nova, Aechelon Technology's industry-leading visual simulation application, based in our Overland Park, Kansas office. This role will be paired with a Mentor who will assist in developing new technologies to improve Aechelon's products. This role will have the opportunity to contribute to Aechelon's shipping products and therefore make a lasting impact on our Company and our end users.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collaborate with core 3D Graphics Software Engineering team to develop and enhance pC-Nova, Aechelon Technology's flagship visual simulation application
  • Work closely with dedicated Mentor to design and implement new technologies aimed at improving Aechelon's product offerings
  • Contribute directly to production-level software, with the opportunity to make a meaningful and lasting impact on both company products and end-user experience

REQUIRED QUALIFICATIONS:

  • Passion for developing fast code and solid software engineering principles
  • In-depth knowledge of and experience programming in C or C++ languages
  • Two years progress towards B.S. in Computer Science or Computer Engineering
  • Strong analytical and problem-solving skills
  • Ability to work with export-controlled technology

DESIRED COMPETENCIES:

  • Experience with developing 3D applications with Open GL or Direct3D
  • Experience with rendering engines such as Unreal, Unity or Babylon.js
  • Experience with multi-processing real time systems
  • Experience with GPGPU development using CUDA, OpenCL, or OpenGL Compute
  • Experience with machine-learning technology such as Convolutional Neural Networks
  • Experience with defect tracking systems such as Jira or Bugzilla
  • Experience with Configuration Management (CM) systems such as Perforce
  • Proficiency with scripting languages: bash, Javascript, Python, etc.

We seek people who share our company's values of extraordinary commitment to technology, customers and the pursuit of excellence. We will give you a chance to work with some of the most talented people in the simulation and training industry.

Apply