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Entry Level Machine Learning Jobs in Olathe, KS (NOW HIRING)

Fastenal Company

Packaging

Edwardsville, KS · On-site

$14.50 - $17.75/hr

This is an entry-level position based out of our distribution center located at 9911 Woodend Rd ... machine o Inspecting product for quality and accuracy o Using a scale for weighing product o ...

GardenCore

Maintenance Technician

Paola, KS · On-site

GardenCore is seeking a motivated, dependable entry-level Maintenance Technician who has hands-on ... Test and troubleshoot malfunctioning machinery, determine repairs and discuss with Head Mechanic ...

Southern Star Central Gas Pipeline, Inc.

Operator

Shawnee, KS · On-site

$16 - $21/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... CBT / ExxTend learning modules * Other coursework and proof of skill as required by law, regulation ...

Southern Star Central Gas Pipeline, Inc.

Operator

Shawnee, KS · On-site

$16 - $21/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... CBT / ExxTend learning modules * Other coursework and proof of skill as required by law, regulation ...

Southern Star Central Gas Pipeline, Inc.

Operator

Shawnee, KS · On-site

$16 - $21/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... CBT / ExxTend learning modules * Other coursework and proof of skill as required by law, regulation ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level machine learning in Olathe, KS is $16.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.37 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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What are the most commonly searched types of Machine Learning jobs in Olathe, KS?

The most popular types of Machine Learning jobs in Olathe, KS are:

What job categories do people searching Entry Level Machine Learning jobs in Olathe, KS look for?

The top searched job categories for Entry Level Machine Learning jobs in Olathe, KS are:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Olathe, KS as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,172 per year, or $16.9 per hour.

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Kansas City, MO • On-site

Other

Posted 11 days ago

Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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