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Entry Level Machine Learning Jobs in Missouri (NOW HIRING)

Aerotek

Press Operator

Saint Joseph, MO

$16 - $20.75/hr

Strong aptitude for learning complex machinery and production processes. * Open to entry-level candidates who demonstrate good mechanical and technical aptitude. Why Work Here? You will join a stable ...

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Howmet Aerospace

Shear Operator - Level 1

Washington, MO · On-site

$20.22/hr

No prior experience working with titanium metals or machinery? No problem - this entry-level role ... Supportive team and hands-on learning * Opportunities to grow into skilled roles * Competitive ...

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

As of Aug 20, 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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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, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $34,075 per year, or $16.4 per hour.

Entry-Level Software Developer (Python Required) with Security Clearance

Bailey Information Technology, LLC

Saint Louis, MO • On-site

Other

Posted 19 days ago

Job description

Bailey Information Technology, LLC TS/SCI -Entry-Level Software Developer (Python Required) * St. Louis, MO
* Information Technology Entry-Level Software Developer (Python Required) Location: St. Louis, MO Clearance: HSPD-12 / ability to obtain TS/SCI w/ Poly Required Certifications: DD8140 compliant Certification (Security+) w/in 3 months Level: T1 (Target) Job Description: The BIT, LLC is recruiting for a junior (entry level) software developer to work on the design and coding with software solutions for the Aeronautical Navigation Office.  The ideal candidate has a familiarity with and a baseline understanding of software development concepts, developing coding skills using different tools, and ambition towards future projects in support of the mission.    Responsibilities: The applicant must possess competence with Python and should have working knowledge JavaScript/TypeScript.  Other duties include working with Docker, AWS Cloud, and familiarity with JSON APIs. This role includes creation and documentation of new and existing functionality within software version control repositories (GitLab) and utilizing DevOps principals and tools to deliver new features within an Agile construct. Participate in program Agile software development initiatives (standup, planning, Increment planning) to support innovation and enhancement of custom applications through iteration/functionality testing. Primary responsibilities will involve developing configurations and features for processing Safety of Navigation (SoN) data through an Optical Character Recognition (OCR), Machine Learning (ML) application. This role includes API development and database integration for interaction with React frameworks, using various open-source packages for visualization and data filtering and code modifications that shall apply best practices in unit and build testing. Participate and collaborate with team members to assess tickets to ensure proper testing and delivery of functionality per User Story Acceptance Criteria Core Qualifications: * Minimum 1 year of experience with Python. * Experience with modern JavaScript development framework. * Experience with unit testing, continuous integration tools, and Gitlab version control * Proactive self-starter demonstrates a positive, willing attitude and excellent oral and written communication skills. * Experience in either software development projects or software integration projects in a service-oriented environment (Cloud, SOA, Web-Services) or virtualization environment. * Requires BS degree and 2+ years of prior relevant experience or Masters with less than 2 years of prior relevant experience; OR 4 years of related experience. * Organizational Skills: Can plan and prioritize work. Follow tasks to their logical conclusion and make sure that everything has been done to the right standard. Good attention to detail. * Communications: Ability to communicate clearly and efficiently with team members and clients, verbally and in writing. Able to present ideas in a variety of ways depending upon audience and context. Preferred Qualifications: * At least 1 year of experience with Optical Character Recognition (OCR) and/or Computer Vision (CV) Technologies (AWS Textract, Tesseract, OpenCV) * At least 1 year of experience with DoD Aeronautical Datasets * At least 2 years of experience with AWS cloud formation templates and/or AWS CDK. * Experience with 2D data (HTML Canvas, OpenLayers, Leaflet, GeoJSON, Godot) * AWS Solutions or DevOps certification * Team Collaboration tools (Jira, Confluence) * Ability to obtain TS/SCI with Polygraph

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