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Hourly Embedded Machine Learning Jobs in St Louis, MO

ServiceNow Developer

Saint Louis, MO ยท On-site

$52.50 - $72/hr

Are you looking for a career where professional development is embedded in your employer's core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

ServiceNow Developer

Saint Louis, MO ยท On-site

$51.25 - $70.50/hr

Are you looking for a career where professional development is embedded in your employers core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

ServiceNow Developer

Saint Louis, MO ยท On-site

$51.25 - $70.50/hr

Are you looking for a career where professional development is embedded in your employers core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

ServiceNow Developer

Saint Louis, MO ยท On-site

$52.50 - $72/hr

Are you looking for a career where professional development is embedded in your employer's core ... Collaborate with platform architects and engineering teams to integrate machine learning services ...

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Showing results 1-20

Hourly Embedded Machine Learning information

See St Louis, MO salary details

$68.1K

$149.1K

$169.2K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for hourly embedded machine learning in St. Louis, MO is $149,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What job categories do people searching Hourly Embedded Machine Learning jobs in St. Louis, MO look for? The top searched job categories for Hourly Embedded Machine Learning jobs in St. Louis, MO are:

ServiceNow Developer

Chenega Corporation

Saint Louis, MO โ€ข On-site

$52.50 - $72/hr

Full-time

Posted 25 days ago


Job description

Summary

ServiceNow Developer

St. Louis, MO

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employerโ€™s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!ย 

Chenega Agile Real-Time Solutions (CARS) was created with the purpose of providing integrated enterprise IT support to Federal customers both CONUS and OCONUS. CARS employs Subject Matter Experts (SMEs) with decades of experience working in the Federal marketplace.ย 

Chenega Agile Real-Time Solutions (CARS) is seeking a highly skilled ServiceNow Developer to serve as a senior technical leader responsible for architecting, developing, and advancing enterprise capabilities on the ServiceNow platform. This role will support mission-critical initiatives focused on AI-enabled automation, intelligent service management, and AIOps-driven operational modernization.

The ServiceNow Developer will design and implement scalable platform solutions that leverage automation, predictive analytics, machine learning integrations, and intelligent workflow orchestration to enhance operational efficiency and mission performance. The position works closely with architects, engineers, and mission stakeholders to translate complex operational requirements into modern digital workflows and automated service capabilities.

In addition to hands-on development, the role will support platform innovation initiatives, including AIOps integration, intelligent automation pipelines, workflow orchestration, and enterprise data-driven decision support. The Senior ServiceNow Developer will mentor junior developers, collaborate across engineering teams, and serve as the senior escalation point for complex technical challenges.


Responsibilities
  • Lead hands-on development within the ServiceNow platform, including client scripts, business rules, UI actions, UI policies, data policies, workflow automation, Flow Designer, Integration Hub spokes, Script Includes, catalog items, Service Portal widgets, UI pages, and event/alert rules.
  • Design and implement integrations between ServiceNow and external enterprise systems, monitoring tools, and operational platforms using REST, SOAP, APIs, and integration frameworks.
  • Design and implement AI-enabled automation workflows that support predictive operations, automated incident response, and intelligent service management.
  • Support the integration of AIOps capabilities, including event correlation, anomaly detection, predictive incident management, and automated remediation workflows.
  • Collaborate with platform architects and engineering teams to integrate machine learning services, analytics platforms, and intelligent decision engines into ServiceNow workflows.
  • Develop solutions that leverage ServiceNow features and automation capabilities to enhance operational awareness, reduce manual intervention, and improve service delivery efficiency.
  • Support initiatives involving data-driven insights, predictive service monitoring, and intelligent operational dashboards.
  • Ensure all development activities adhere to enterprise architecture, cybersecurity requirements, and platform governance standards.
  • Work closely with product owners, business stakeholders, and engineering teams to analyze requirements and translate them into scalable technical solutions.
  • Participate in Agile ceremonies, including sprint planning, backlog refinement, stand-ups, sprint reviews, and retrospectives.
  • Provide technical estimates and solution designs to support product roadmap planning and program execution.
  • Other duties as assigned.

Qualifications
  • High school diploma or GED equivalent and relevant experience:
    • 5+ years of experience in ServiceNow Platform development
    • 3+ years of experience in ITSM development
    • experience in Agile development practices
  • ServiceNow CSA Certification
    • Certified Technical Architect (CTA) is preferred
  • Active Top-Secret Clearance with ability to obtain TS/SCI with CI Poly
  • Successfully pass background and drug screening

Preferred Qualifications:

  • Bachelorโ€™s or masterโ€™s degree in computer science, Information Technology, Engineering, or related field
  • Experience supporting AIOps, intelligent automation, or AI-enabled operational platforms
  • Experience integrating ServiceNow with monitoring tools, data platforms, or operational analytics systems
  • Experience supporting enterprise IT modernization initiatives within federal or defense environments
  • Experience with enterprise integration technologies, including REST APIs, microservices, and automation frameworks
  • Experience supporting large-scale enterprise IT environments

ย 

Knowledge, Skills, and Abilities:

  • Ability to work independently and yet be effective within a team setting
  • Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
  • Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
  • Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
  • Excellent skills in Microsoft Word, Excel, and other Office applications
  • Proficient with Microsoft Office Applications, and experience working in a home office setting, as well as the ability to train end users on frequently asked technical issues.
  • Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
  • Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it

How youโ€™ll growย 

At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe thereโ€™s always room to learn.ย 

We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.ย 

Benefitsย 

At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.ย 

Learn more about what working at Chenega MIOS can mean for you.ย 

Chenega MIOSโ€™s cultureย 

Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.ย 

Corporate citizenshipย 

Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.ย 

Learn more about Chenegaโ€™s impact on the world.ย 

Chenega MIOS News-ย https://chenegamios.com/news/ย 

Tips from your Talent Acquisition Teamย 

We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links:ย 

Chenega MIOS web site -ย www.chenegamios.comย 

Glassdoor -ย https://www.glassdoor.com/Overview/Working-at-Chenega-MIOS-EI_IE369514.11,23.htmย 

LinkedIn -ย https://www.linkedin.com/company/1472684/ย 

Facebook -ย https://www.facebook.com/chenegamios/ย 

#Chenega Agile Real Time Solutions, LLC

Qualifications:
  • High school diploma or GED equivalent and relevant experience:
    • 5+ years of experience in ServiceNow Platform development
    • 3+ years of experience in ITSM development
    • experience in Agile development practices
  • ServiceNow CSA Certification
    • Certified Technical Architect (CTA) is preferred
  • Active Top-Secret Clearance with ability to obtain TS/SCI with CI Poly
  • Successfully pass background and drug screening

Preferred Qualifications:

  • Bachelorโ€™s or masterโ€™s degree in computer science, Information Technology, Engineering, or related field
  • Experience supporting AIOps, intelligent automation, or AI-enabled operational platforms
  • Experience integrating ServiceNow with monitoring tools, data platforms, or operational analytics systems
  • Experience supporting enterprise IT modernization initiatives within federal or defense environments
  • Experience with enterprise integration technologies, including REST APIs, microservices, and automation frameworks
  • Experience supporting large-scale enterprise IT environments

ย 

Knowledge, Skills, and Abilities:

  • Ability to work independently and yet be effective within a team setting
  • Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
  • Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
  • Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
  • Excellent skills in Microsoft Word, Excel, and other Office applications
  • Proficient with Microsoft Office Applications, and experience working in a home office setting, as well as the ability to train end users on frequently asked technical issues.
  • Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
  • Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it

How youโ€™ll growย 

At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe thereโ€™s always room to learn.ย 

We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.ย 

Benefitsย 

At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.ย 

Learn more about what working at Chenega MIOS can mean for you.ย 

Chenega MIOSโ€™s cultureย 

Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.ย 

Corporate citizenshipย 

Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.ย 

Learn more about Chenegaโ€™s impact on the world.ย 

Chenega MIOS News-ย https://chenegamios.com/news/ย 

Tips from your Talent Acquisition Teamย 

We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links:ย 

Chenega MIOS web site -ย www.chenegamios.comย 

Glassdoor -ย https://www.glassdoor.com/Overview/Working-at-Chenega-MIOS-EI_IE369514.11,23.htmย 

LinkedIn -ย https://www.linkedin.com/company/1472684/ย 

Facebook -ย https://www.facebook.com/chenegamios/ย 

#Chenega Agile Real Time Solutions, LLC

Education:UNAVAILABLEEmployment Type: FULL_TIME