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Freelance Full Stack Machine Learning Engineer Jobs in St Louis, MO

Bespoke Labs

Machine Learning Engineer

Saint Louis, MO · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Edwardsville, IL · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Booz Allen Hamilton

AWS Full Stack Engineer

Arnold, MO · On-site

$99K - $225K/yr

AWS Full Stack Engineer The Opportunity: As a full stack developer, you can resolve a problem with ... intelligence or machine learning applications * TS/SCI clearance with a polygraph * AWS ...

Apex Systems

Full Stack Developer

Maryland Heights, MO · On-site

... learning. We offer quality career resources, training, certifications, development opportunities ... UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on ...

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All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in St. Louis, MO

Freelance Full Stack Machine Learning Engineer information

See St Louis, MO salary details

$43.3K

$131K

$185.2K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for freelance full stack machine learning engineer in St. Louis, MO is $131,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in St. Louis, MO?

The most popular types of Full Stack Machine Learning Engineer jobs in St. Louis, MO are:

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in St. Louis, MO?

For Freelance Full Stack Machine Learning Engineer jobs in St. Louis, MO, the most frequently searched job titles are:

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The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near St. Louis, MO with the most Freelance Full Stack Machine Learning Engineer job openings:

Freelance Full Stack Machine Learning Engineer jobs near you
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in St. Louis, MO as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $131,028 per year, or $63 per hour.

Machine Learning Engineer 727

Saint Louis, MO

Freedom Technology Solutions Group
See more jobs at Freedom Technology Solutions Groupexternal

Full-time

Re-posted 23 days ago

Key responsibilities

  • Design, train, validate, and deploy machine learning models.

  • Build production inference pipelines and develop feature engineering workflows.

  • Collaborate with Data Scientists and Software Engineers to support AI/ML initiatives and ensure models operate within secure environments.

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands-on engineering position focused on moving models from research into reliable production systems.


Responsibilities:

  • Da
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Develop feature engineering workflows
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned


Key Technologies

  •  A
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • MLflow
  • Docker/Podman
  • Kubernetes/EKS
  • ECS
  • Lambda
  • SageMaker
  • GitLab CI/CD
  • Linux
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • GDAL, Rasterio, OGR

Required Qualifications

  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking


Desired Qualifications

  • Experience deploying production AI systems
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Development or scripting experience (Python, JavaScript, or similar)
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

Apply