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Entry Level Machine Learning Jobs in Missouri (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Kansas City, MO · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Saint Louis, MO · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Aerotek

Production Machine Operator

Washington, MO

$23 - $32/hr

... Entry-level and experienced candidates are welcome, and comprehensive training is provided for ... Interest in learning new skills and advancing within the company. Work Environment * Non-climate ...

Genesis10

Entry Level Data Engineer

Saint Louis, MO

$50K - $60K/yr

You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Snowflake, Docker, Airflow, Apache Spark, and Machine Learning. Now hiring for our ...

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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 Sep 9, 2026, the average hourly pay for entry level machine learning in Missouri is $16.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $17.84 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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Cities in Missouri with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $34,075 per year, or $16.4 per hour.

entry level Java spring boot Developer/Jr. Data Scientist (Remote)

Saint Louis, MO • On-site

SynergisticIT
IT Services • 11 - 50 employees
Learn more about SynergisticITexternal

Full-time

Re-posted 11 days ago

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We regularly interact with the top tech companies to give our candidates a competitive advantage. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: “Understanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010

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