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Executive Full Stack Machine Learning Engineer Jobs in Saint Louis, MO

Equifax

Senior Full Stack Engineer

Saint Louis, MO · On-site

We are seeking a visionary full stack engineer to join our technology transformation initiative. In ... through our online learning platform with guided career tracks. Are you ready to power your ...

Leidos

Journeyman Full Stack Engineer

Saint Louis, MO · On-site

$69K - $125K/yr

The Leidos National Solutions Division has an exciting opportunity for a Journeyman Full Stack Engineer to assist with the software development, maintenance, integration, deployment, and sustainment ...

Leidos

Journeyman Full Stack Engineer

Saint Louis, MO · On-site

$69K - $125K/yr

The Leidos National Solutions Division has an exciting opportunity for a Journeyman Full Stack Engineer to assist with the software development, maintenance, integration, deployment, and sustainment ...

Synthesis Systems

Full Stack Java Developer

Creve Coeur, MO · On-site

$49.25 - $63.50/hr

The Full Stack Developer provides frontend and backend development support. The successful candidate will also provide best practices to design single-page architecture (SPA) applications and micro ...

Synthesis Systems

Full Stack Java Developer

Creve Coeur, MO · On-site

$49.25 - $63.50/hr

The Full Stack Developer provides frontend and backend development support. The successful candidate will also provide best practices to design single-page architecture (SPA) applications and micro ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Saint Louis, MO

Executive Full Stack Machine Learning Engineer information

See Saint Louis, MO salary details

$43.3K

$131K

$185.2K

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

As of Aug 18, 2026, the average yearly pay for executive full stack machine learning engineer in Saint 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 Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Saint Louis, MO?

For Executive Full Stack Machine Learning Engineer jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Saint Louis, MO look for?

The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Saint Louis, MO are:

What cities near Saint Louis, MO are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities near Saint Louis, MO with the most Executive Full Stack Machine Learning Engineer job openings:

Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $131,028 per year, or $63 per hour.

Software Engineer (Senior .NET / Full-Stack Engineer)

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 5 days ago

Job description

Overview:
Position: Software Engineer (Senior .NET / Full-Stack Engineer)
Location: Remote
Duration: 6+ Months Contract
Role Overview
We are seeking highly skilled Senior .NET / Full-Stack Engineers with strong AWS and secure-coding expertise. This role is critical in investigating vulnerability findings at the code level, determining root causes, implementing secure remediations, testing changes, and deploying them through Regions' development pipeline. Candidates must demonstrate deep technical proficiency in backend and full-stack development, combined with a strong understanding of secure coding practices and cloud-native architectures.
Key Responsibilities
  • Investigate and analyze vulnerability findings at the code level.
  • Identify root causes and design secure remediation strategies.
  • Implement fixes in C#/.NET and related frameworks, ensuring compliance with secure coding standards.
  • Conduct thorough testing of remediated code to validate effectiveness and stability.
  • Deploy secure solutions through CI/CD pipelines into production environments.
  • Collaborate with product owners, architects, and cross-functional teams to ensure secure delivery.
  • Contribute to API security, secure design reviews, and best practices documentation.
  • Support continuous improvement of secure coding standards and vulnerability management processes.
Required Skills
  • Strong expertise in C# / .NET, ASP.Net, React, REST API, SQL.
  • Hands-on experience with AWS services (Lambda, S3, SQS, DynamoDB).
  • Proficiency with Git, CI/CD pipelines, and secure deployment practices.
  • Demonstrated knowledge of secure coding principles and API security.
  • Ability to take vulnerabilities from finding through remediation and deployment.
Preferred Skills (Strong Pluses)
  • Experience with PostgreSQL databases.
  • Familiarity with Harness for CI/CD orchestration.
  • Exposure to GitHub Copilot for AI-assisted development.
  • Background in secure software delivery within enterprise environments.
Qualifications
  • 7+ years of professional software engineering experience.
  • Proven track record in secure coding, vulnerability remediation, and production deployment.
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.
  • Excellent communication and collaboration skills to work across distributed teams.

Skills:
.NET,AWS,C#,CODING

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