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Flexible Machine Learning Jobs in Missouri (NOW HIRING)

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...

Instacart

Learn more about our flexible approach to where we work. About the Role: As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders ...

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All JobsMachine Learning JobsFlexible Machine Learning JobsFlexible Machine Learning Jobs in Missouri

Flexible Machine Learning information

What is the difference between Flexible Machine Learning vs Data Scientist?

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

What are the most commonly searched types of Machine Learning jobs in Missouri?

The most popular types of Machine Learning jobs in Missouri are:

What are popular job titles related to Flexible Machine Learning jobs in Missouri?

For Flexible Machine Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Flexible Machine Learning jobs in Missouri look for?

The top searched job categories for Flexible Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Flexible Machine Learning jobs?

Cities in Missouri with the most Flexible Machine Learning job openings:

Flexible Machine Learning jobs near you
Infographic showing various Flexible Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer 727

(EDO) Entertainment Data Oracle, Inc.

Saint Louis, MO • On-site

$120 - $170/hr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago

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
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • 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
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • MLflow
  • Docker/Podman
  • ECS
  • Lambda
  • SageMaker
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 with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity with secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • 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
What’s in It for You?

Flexible work environment

A team mentality – work with friendly, like‑minded professionals

Work with innovative, cutting edge technologies

Enjoy extremely competitive compensation and benefits

A work‑life balance you can count on

Opportunities to grow and advance your career on our dime

The Benefits You Get with Freedom

Amazing benefits including matching 401k, fully paid medical, and more

Generous paid time off – including paid site closure days

Competitive salary offerings

Paid training and tuition reimbursement

Fully paid life and disability

Company sponsored events (game nights, holiday party, summer party, happy hours)

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.

Phone: 410-290-9035

Equal Opportunity Employer, including disabled and veterans.

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