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Entry Level Machine Learning Engineer Jobs in Saint Louis, MO

Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model-only / AI-heavy DS * Less focus on deep learning, GenAI, etc. * More focus on data foundations ...

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

Director of Engineering Schedule: Monday through Friday CNC Operation & Programming. Design ... Learning and Development * Employee Appreciation Events * Tuition Reimbursement * Comprehensive and ...

You will work closely with key partners, including data engineers and data scientists, to develop reliable, scalable and maintainable machine learning solutions. What You Will Do: * Write robust ...

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to ... The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and ...

Basic computer knowledge Additional Skills & Qualifications * Entry-level welcome, manufacturing ... Louis, Missouri, offers a collaborative environment dedicated to advanced engineering and customer ...

Showing results 41-60

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.

Dashboard Developer, Mid-Level

GDIT

Scott Air Force Base, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Business Intelligence Dashboards, Data Analytics, Data Science

Certifications:

None

Experience:

2 + years of related experience

US Citizenship Required:

Yes

Job Description:

In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors - from fraud detection to cancer research to national intelligence - they know, the answers are in the data.

In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors - from fraud detection to cancer research to national intelligence - they know, the answers are in the data.

The mid-level dashboard developer uses the power of their analytical skills to assist and improve the defense industry in numerous ways, working closely with customers to understand their questions and needs and dig into their data-rich environment to discover the missing pieces in the information puzzle. Applying specific functional and general industry knowledge, our dashboard developers discover answers to a variety of problems of moderate scope and complexity by developing algorithms, writing scripts, building predictive analytics, maximizing automation, applying machine learning and combining tools and frameworks to turn disparate data points into objective answers that help military leaders make informed decisions. The dashboard developer offers customers a deep understanding of their data, what it all means, and how they can use it, and acts as a trusted source who optimizes the potential of data science for good in the defense industry. At the mid-level, this role works independently with some guidance and may review or guide activities of more junior employees.

What we're looking for:

  • Solid experience in distributed computing frameworkswith hands-on expertise inDatabricks,SQL, andSpark.
  • Proficient in designing and implementing ETL pipelinesto transform and integrate data efficiently from diverse sources.
  • Expertise in data visualization and business intelligenceusing tools such asQlik,Tableau, andPower BI, with the ability to create intuitive dashboards and clear, actionable insights.
  • Strong analytical modeling experience, including the development of forecasts, cost models, and trend analyses.
  • Advanced proficiency in programming languages like Python, with demonstrated experience in writing efficient, scalable scripts for data processing and analytics.
  • Ability to present insights effectively to senior leadership and collaborate with cross-functional teams to meet organizational objectives.
  • A curious, independent thinker who enjoys tackling challenging problems, offering creative solutions, and continuously seeking opportunities to innovate.
  • Excellent time management and organizational skills to manage competing priorities in a complex matrix environment effectively.

Basic Qualifications:

  • 2+ years of experience with data science or analytics

  • Experience with building robust analytical models, including forecasts, cost models, and historical trend analyses

  • Ability to navigate a complex matrix environment and manage competing priorities

  • Active Secret clearance

  • BA or BS degree

Additional Qualifications:

  • Strong knowledge of data programming languages such as SQL and Python, with the ability to integrate structured and unstructured datasets into actionable formats.
  • Experience facilitating training for BI toolsto empower teams with self-service analytics capabilities.
  • Understanding of data management practices within the DoW environment, leveraging SQL or SAS for database manipulation and integration workflows.
  • Outstanding communication skills to align stakeholder needs, articulate development plans, and track progress effectively.
  • Exceptional critical thinking and statistical analysis capabilities, with the ability to derive actionable conclusions from complex data patterns.


GDIT is your place:

  • 401K with company match

  • Comprehensive health and wellness packages

  • Internal mobility team dedicated to helping you own your career

  • Professional growth opportunities including paid education and certifications

  • Cutting-edge technology you can learn from

  • Rest and recharge with paid vacation and holidays

#gditpriority

The likely salary range for this position is $68,000 - $92,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA IL Scott AFB

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US