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Machine Learning Defense Jobs in Florissant, MO (NOW HIRING)

Esri

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

Overview Are you passionate about changing the world through machine learning and location ... We serve customers across diverse domains including natural resources, defense, commercial ...

Booz Allen Hamilton

Agentic AI Developer

O Fallon, IL

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

Booz Allen Hamilton

Agentic AI Developer

O Fallon, IL · On-site

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

GRVTY

Imagery Scientist (EO) - Mid Level

Saint Louis, MO

$110K - $150K/yr

Experience working with or developing Machine Learning algorithms for exploiting overhead imagery ... defense--including the ones still being explored. Our growing capabilities create complementary ...

Boeing

Experienced Data Scientist

Hazelwood, MO

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

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

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

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

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

Boeing

Senior Data Scientist

Hazelwood, MO

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

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

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

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

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

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

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

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

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

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Showing results 1-20

All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Florissant, MO

Machine Learning Defense information

See Florissant, MO salary details

$23.5K

$39.3K

$81.2K

How much do machine learning defense jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning defense in Florissant, MO is $39,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 per year, depending on experience, location, and employer.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Florissant, MO?

For Machine Learning Defense jobs in Florissant, MO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Florissant, MO look for?

The top searched job categories for Machine Learning Defense jobs in Florissant, MO are:

What cities near Florissant, MO are hiring for Machine Learning Defense jobs?

Cities near Florissant, MO with the most Machine Learning Defense job openings:

Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in Florissant, MO as of June 2026, with employment types broken down into 5% As Needed, 74% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $39,273 per year, or $18.9 per hour.

Data Scientist I

Esri

Saint Louis, MO • On-site

$70K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Overview
Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning.
We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics.
We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries.
Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.
Responsibilities
  • Consult closely with customers to understand their needs
  • Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
  • Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning
  • Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types
  • Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment
  • Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
  • Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery

Requirements
  • 1+ years of professional experience in a similar position, supporting similar responsibilities
  • Professional experience with practical machine learning experience or relevant academic/lab work
  • Hands-on relevant experience in generative AI, large language models, and/or agentic systems
  • Fundamental understanding of mathematical and machine learning concepts
  • Applied statistics experience
  • Experience developing machine learning solutions, preferably in Python
  • Ability to produce compelling data visualizations to convey results
  • Strong communication skills, including the ability to explain technical concepts to non-technical audiences
  • US citizenship and willingness and ability to maintain a US Security Clearance
  • Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field

Recommended Qualifications
  • Experience with spatial and GIS concepts, preferably using Esri software
  • Master's degree in mathematics, statistics, computer science, physics, or a STEM related field

#LI-AN1
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Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$70,304-$110,240 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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