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Entry Level Machine Learning Engineer Jobs in Saint Louis, MO

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline. * Bachelor's degree in Computer Science, Engineering ...

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline. * Bachelor's degree in Computer Science, Engineering ...

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

... and machine learning * Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types * Perform feature engineering, model ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Saint Louis, MO salary details

$29.2K

$67.4K

$114.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level machine learning engineer in Saint Louis, MO is $67,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Saint Louis, MO? The most popular types of Machine Learning Engineer jobs in Saint Louis, MO are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Saint Louis, MO look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Saint Louis, MO are:
Infographic showing various Entry Level Machine Learning Engineer job openings in Saint Louis, MO as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $67,436 per year, or $32.4 per hour.

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

Bailey Information Technology, LLC

Saint Louis, MO • On-site

$46 - $63.25/hr

Other

Posted 8 days ago


Job description

Bailey Information Technology, LLC TS/SCI -Entry-Level Software Developer (Python Required) * St. Louis, MO 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 Apply Now More Openings * TS/SCI - Software Developer * Chantilly, VA, MD, MO * TS/SCI - Cloud Engineer * St. Louis, MO * TS/SCI - AI Software Engineer * Alexandria, VA, MO * TS/SCI - Devops/ Systems Engineer * Chantilly, VA, VA, MD Share This Job