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Senior Meta Machine Learning Jobs in Jennings, MO

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Senior AI Engineer

Creve Coeur, MO · On-site

$120 - $180/hr

1. AI Solution Development Lead the design and development of innovative machine learning models and algorithms in cross-functional teams to effectively address specific business challenges. Lead the ...

New

Role Description As a Senior Data Scientist, you will play a key role in solving complex business ... Strong understanding of statistical modeling, machine learning techniques, and risk assessment ...

Role Description As a Senior Data Scientist, you will play a key role in solving complex business ... Strong understanding of statistical modeling, machine learning techniques, and risk assessment ...

Sr. Scala Developer

Saint Louis, MO · On-site

$53 - $70/hr

... Machine Learning and Bayesian Methods. Must be familiar w/NoSQL on the back-end. Qualifications BS Degree Additional Information All your information will be kept confidential according to EEO ...

Senior AI Engineer - SFL Scientific

Saint Louis, MO · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Implement and deploy machine learning models, working closely with software engineering teams to ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

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Showing results 1-20

Senior Meta Machine Learning information

See Jennings, MO salary details

$22.7K

$72.8K

$148.2K

How much do senior meta machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior meta machine learning in Jennings, MO is $72,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,600.00 and $93,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What cities near Jennings, MO are hiring for Senior Meta Machine Learning jobs?

Cities near Jennings, MO with the most Senior Meta Machine Learning job openings:

Infographic showing various Senior Meta Machine Learning job openings in Jennings, MO 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 $72,796 per year, or $35 per hour.

Full-time

Re-posted 6 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:

  • 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