Top 75 Machine learning engineer Jobs in St. Louis Mo 63117

AI Software Engineer
Leidos —Missouri
- $87,100 - $157,450 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor of Science
- Writing skills
4d
GPU Performance Engineer - Neural Reconstruction
NVIDIA —St. Louis, MO
- $224,000 - $431,250 a year
- Full-time
- Computer Science
- Bachelor of Science
- 11+ years
Senior Software Engineer - GoLang and Python
CGI Group, Inc. —St. Louis, MO
- $88,200 - $156,700 a year
- System design
- English
- SQL
- Paid parental leave
- Paid holidays
2d
AI Software Engineer Lead
Leidos —Missouri
- $107,900 - $195,050 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Bachelor of Science
3d
CTIO - AI Engineer - Experienced Associate
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $50,500 - $140,000 a year
- Computer Science
- Mid-level
- Bachelor's degree
- Paid holidays
- Health insurance
8d
BIG DATA ENGINEER
PROTOCOL INFOTECH —St. Louis, MO
- Full-time
- Mid-level
- Bachelor's degree
- Referral program
Senior AI Engineer - SFL Scientific
Deloitte —St. Louis, MO
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
Cloud Engineer
HII —St. Louis, MO
- $78,406 - $170,000 a year
- Email
- 6 years
- System design
- Mid-level
- Paid holidays
- Health insurance
Software Test (QA) Engineer
Mechanical Licensing Collective —Maryland Heights, MO
- Hybrid work
- 5 years
- SQL
- AWS
Quick Apply
9d
BioTech Data Engineer
Stellar IT Solutions LLC —St. Louis, MO
- $1,500,000 - $1,800,000 a year
- Full-time
- 5 years
- Bachelor of Science
- DevOps
Quick Apply
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
4d
Software Engineer
MiTek USA Inc —Earth City, MO
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
- Profit sharing
- Paid parental leave
Quick Apply
Forward Deployment Engineer
Brado —St. Louis, MO
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Urgent Care
- AD&D insurance
- Disability insurance
Quick Apply
Data Scientist
Absolute Business Solutions Corp —St. Louis, MO
- $75,000 - $150,000 a year
- 8 hour shift
- Hybrid work
- Mid-level
- Military encouraged
- Experience equivalent to degree accepted
- Paid time off
- 401(k) matching
Data Scientist Engineer - SFL Scientific
Deloitte —St. Louis, MO
- $95,600 - $188,400 a year
- Full-time
- Azure
- Computer Science
- Office
Forward Deployed Engineer Associate Director
Accenture —St. Louis, MO
- $150,900 - $434,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- 3 years
- Paid holidays
- Disability insurance
10h
Senior Insider Risk & AI Security Analyst/ Engineer IV
Edward Jones —St. Louis, MO
- $101,700 - $173,200 a year
- Full-time
- Hybrid work
- Office
- Mentoring
- Senior level
- Profit sharing
- Health savings account
Product Analyst – AI
National Information Solutions Cooperative (NISC) —St. Louis, MO
- Hybrid work
- Azure
- Computer Science
- Mid-level
Knowledge Engineer / Semantic Expert for AI
Accenture —St. Louis, MO
- $68,300 - $220,400 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
Senior FEA/CFD Simulation Engineer
Watlow Electric Manufacturing, Inc. —St. Louis, MO
- Full-time
- 8 years
- Analysis skills
- Continuous improvement
- Wellness program
- Paid holidays
Quick Apply
7d

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machine learning engineer jobs near st. louis mo 63117

AI Software Engineer

Leidos -
Missouri

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Job Details

Full-time
$87,100 - $157,450 a year
4 days ago

Qualifications

AI models
Jira
Customer communication
Software engineering
Application systems
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
Business consulting
System design for system development
Machine intelligence
Cloud security
Confluence
PostgreSQL
Distributed systems
Virtualization
DoD 8570
Design engineering
Systems engineering
Cloud Native Design
Agile software development
Web services

Full Job Description

Description

The Leidos National Solutions team has an opening for an experienced AI Engineer to contribute to AI solutions, work on development, collaborate with pipeline development and deployment teams. The FS2 Sea task order team’s 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 work on 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.
Advises and assist team’s to deploy and configure services with AI tools

Basic Qualifications:

Requires BS degree (Computer Science, Engineering or related field) and 7+ year’s of prior relevant experience OR, MS with 5+ year’s of prior relevant experience; OR 4 years of additional experience in lieu of degree
5+ year’s experience consulting, designing and implementing distributed solutions and 3+ 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)
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 self-starter demonstrates a positive, willing attitude and excellent oral and written communication skills.
Demonstrates ability to adapt to new AI technologies and learn quickly
Organizational Skills: Exceptional planning and prioritizing work, follow tasks to their logical conclusion and ensure everything has been correctly satisfied to standard. Great attention to detail.
Communications: Excellent communication with team members, clients, customers or other stakeholders verbally and in writing. Able to present ideas in a variety of ways depending upon audience and context.
Familiar with team collaboration tools (Jira, Confluence, RocketChat)

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 29, 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 $87,100.00 - $157,450.00

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.

Apply Now

Refine Your Search

machine learning engineer jobs in st. louis mo 63117

AI Software Engineer

GPU Performance Engineer - Neural Reconstruction

Senior Software Engineer - GoLang and Python

AI Software Engineer Lead

CTIO - AI Engineer - Experienced Associate

BIG DATA ENGINEER

Senior AI Engineer - SFL Scientific

Cloud Engineer

Software Test (QA) Engineer

BioTech Data Engineer

AI Transformation & Solutions Lead

Software Engineer

Forward Deployment Engineer

Data Scientist

Data Scientist Engineer - SFL Scientific

Forward Deployed Engineer Associate Director

Senior Insider Risk & AI Security Analyst/ Engineer IV

Product Analyst – AI

Knowledge Engineer / Semantic Expert for AI

Senior FEA/CFD Simulation Engineer

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