Top 75 Machine learning engineer Jobs in St. Louis, Mo

AI Software Engineer Lead
Leidos —Missouri
- $107,900 - $195,050 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Bachelor of Science
Data Engineer (Hiring Event)
National Geospatial-Intelligence Agency —St. Louis, MO
- $76,573 - $141,880 a year
- Online Application
- Computer Science
- Customer service
- Pass drug screening
9d
Engineer II
Bayer —Creve Coeur, MO
- $90,000 - $135,000 a year
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
- Dental insurance
3d
Staff Software Engineer
Merck KGaA —St. Louis, MO
- $110,500 - $165,900 a year
- Computer Science
- System design
- Mid-level
- Health insurance
- Paid time off
1d
Software Engineer
Reinventing Geospatial, Inc. (RGi) —St. Louis, MO
- $115,000 - $170,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
Quick Apply
AI Engineer II
McCarthy Holdings, Inc. —St. Louis, MO
- Full-time
- Azure
- Computer Science
- Mid-level
8d
GPU Performance Engineer - Neural Reconstruction
NVIDIA —St. Louis, MO
- $224,000 - $431,250 a year
- Full-time
- Computer Science
- Bachelor of Science
- 11+ years
Data Scientist
Nestlé Purina —St. Louis, MO
- $88,000 - $123,000 a year
- Computer Science
- DevOps
- Mid-level
- Health insurance
- 401(k) matching
7d
NGA AI Engineer Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $73,500 - $244,000 a year
- Computer Science
- Master's degree
- High school diploma or GED
- Paid holidays
- Health insurance
Cloud Engineer
HII —St. Louis, MO
- $78,406 - $170,000 a year
- Email
- 6 years
- System design
- Mid-level
- Paid holidays
- Health insurance
Knowledge Engineer Specialist
Accenture —St. Louis, MO
- $59,100 - $205,800 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Supervising experience
- Paid holidays
- Disability insurance
Software Engineer
MiTek USA Inc —Earth City, MO
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
- Profit sharing
- Paid parental leave
Quick Apply
Data Engineer
Booz Allen Hamilton —O'Fallon, IL
- $61,900 - $141,000 a year
- Full-time
- Azure
- Mid-level
- Office
- Disability insurance
- Health insurance
AI Engineer (Intelligence Center)
The MITRE Corporation —O'Fallon, IL
- Full-time
- Azure
- 5 years
- Mid-level
9d
US Tech - AI Engineering Senior Associate
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $55,000 - $187,000 a year
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
ERP AI Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $77,000 - $202,000 a year
- Computer Science
- 3 years
- Master's degree
- Paid holidays
- Health insurance
AI Transformation & Solutions Lead
Accenture —St. Louis, MO
- $87,400 - $224,600 a year
- Full-time
- Hybrid work
- 5 years
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Automation Engineer-Desktop Power Automate Unattended (RPA)
U.S. Bank National Association —Earth City, MO
- $105,400 - $124,000 a year
- Full-time
- Azure
- Office
- Java
- Paid holidays
- Disability insurance
GenAI Python Systems Engineer – Senior Associate
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $77,000 - $202,000 a year
- Azure
- Computer Science
- 3 years
- Paid holidays
- Health insurance
Agentic AI, AI & Data Science Engineer
Deloitte —St. Louis, MO
- Full-time
- Computer Science
- Up to 50% travel
- Mid-level
12d

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machine learning engineer jobs near st. louis, mo

AI Software Engineer Lead

Leidos -
Missouri

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Job Details

Full-time
$107,900 - $195,050 a year

Qualifications

AI models
Jira
Government information & network security
Software engineering
IT user and group management
Linux support
GPO
Kanban
Tooling
Infrastructure as Code (IaC)
Writing skills
Software implementation
System design
AI platforms (beyond public GPTs)
Windows
Machine intelligence
Confluence
Implementing web services
Application design
PostgreSQL
Distributed systems
Virtualization
Terraform
DoD 8570
Systems engineering
Cloud Native Design
Leading team collaboration initiatives
Agile software development
Windows support
Cloud automation

Full Job Description

Description

The Leidos National Solutions team has an opening for an experienced AI Engineer to lead AI solutions, work on development, collaborate with pipeline development and deployment teams. The FS2 Sea task order teams are involved in the deployment and maintenance of multiple operational cloud deployed software technologies and solutions. We are looking for a motivated AI engineer to solve challenging problems in a variety of Sea based systems to get results that surpass the outcomes achieved with new AI technologies, capabilities and features.

Primary Responsibilities:

Strong collaboration with team’s in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security.
Collaborates with Leidos AI initiatives, providing insight into technologies, tooling and practices.
Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential.
Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI.
Provides broad-based experience in the systems engineering lifecycle and applies experience/knowledge to cloud initiatives relating to architectural design and development.
Leads team’s to deploy and configure services with AI tools

Basic Qualifications:

Requires BS degree (Computer Science, Engineering or related field) and 10+ year’s of prior relevant experience OR, MS with 7+ year’s of prior relevant experience; OR 7 years of additional experience in lieu of degree
7+ year’s experience leading, designing and implementing distributed solutions and 5+ year’s experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience
Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly
DoD 8570 Certification Compliance (IAT Level 2/3)
Familiar with team collaboration tools (Jira, Confluence, RocketChat)
Experience in Cloud and PaaS environments
Subject Matter Expertise understanding across various AI technologies,
Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform
Knowledge of SDLC and AGILE best practices
Windows Domain Administrator of user accounts and group policy objects and Linux administration
Proactive leader demonstrating a positive, willing attitude and excellent oral and written communication skills.
Demonstrates ability to adapt to new AI technologies and learn quickly
Plans and prioritizes work effectively, follows tasks through to completion, and maintains a high standard of accuracy with excellent attention to detail.
Communicates effectively with team members, clients, and stakeholders in both writing and conversation, tailoring messaging to fit the audience and context.

Preferred Qualifications:

Understanding of SFH organization; Sea data and mission
Experience with NGA cloud-based architecture
AWS Solutions Architect, AWS Developer, Machine Learning
Experience with IC Cloud Architecture implementation methodologies
Native cloud templating services like AWS Cloud Formation
Experience with CI/CD Pipelines and projects

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

June 30, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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Refine Your Search

machine learning engineer jobs in st. louis, mo

AI Software Engineer Lead

Data Engineer (Hiring Event)

Engineer II

Staff Software Engineer

Software Engineer

AI Engineer II

GPU Performance Engineer - Neural Reconstruction

Data Scientist

NGA AI Engineer Manager

Cloud Engineer

Knowledge Engineer Specialist

Software Engineer

Data Engineer

AI Engineer (Intelligence Center)

US Tech - AI Engineering Senior Associate

ERP AI Engineer - Senior Associate

AI Transformation & Solutions Lead

Automation Engineer-Desktop Power Automate Unattended (RPA)

GenAI Python Systems Engineer – Senior Associate

Agentic AI, AI & Data Science Engineer

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