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Hourly Embedded Machine Learning Jobs in Missouri

ServiceNow Developer

Saint Louis, MO · 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 ...

Line Operator

Wentzville, MO · On-site

$16 - $19.75/hr

... technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded ...

Showing results 21-40

Hourly Embedded Machine Learning information

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.

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 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.

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 are the most commonly searched types of Embedded Machine Learning jobs in Missouri?

The most popular types of Embedded Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Hourly Embedded Machine Learning jobs?

Cities in Missouri with the most Hourly Embedded Machine Learning job openings:

Infographic showing various Hourly Embedded Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Consultant-Digital Quality & Compliance

Kansas City, MO • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Re-posted 24 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Senior Consultant - Digital Quality & Compliance

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the Regulatory, Risk & Forensic team, you will be responsible for leading validation and compliance activities for complex GxP systems across regulated technology environments.

  • Lead end-to-end validation activities for GxP systems, including validation plans, installation qualification (IQ), operational qualification (OQ), performance qualification (PQ) protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Lead computer system validation (CSV) and computerized system assurance (CSA) deliverables across the shop-floor systems lifecycle (L2 to L6), including risk assessments, validation planning, requirements traceability, test strategy and execution, deviation management, final reporting, and release approval
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, European Union Annex 11, and data integrity requirements
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead corrective and preventive action (CAPA) activities and support validation approaches for artificial intelligence and machine learning-enabled GxP systems and automation testing frameworks, including documentation of governance requirements for non-deterministic outputs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience and 6+ years of experience in computer system validation in a life sciences environment, including pharmaceutical, biotechnology, medical device, or clinical environments
  • Experience leading validation deliverables for GxP systems and computer system validation (CSV) and computerized system assurance (CSA) activities across the shop-floor systems lifecycle (L2 to L6), including validation plans, installation qualification (IQ), operational qualification (OQ), performance qualification (PQ) protocols, summary reports, user requirements specifications, functional specifications, design specifications, traceability matrices, risk assessments, test strategy and execution, deviation management, final reporting, and release approval
  • Hands-on understanding of PLC/SCADA architectures, control strategies, alarms
  • Experience applying 21 CFR Part 11, European Union Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available (ALCOA+) principles
  • Experience managing CAPA lifecycle activities, supporting inspection readiness for Food and Drug Administration (FDA) or European Medicines Agency (EMA) audits, and validating artificial intelligence/machine learning (AI/ML)-enabled systems or automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce, in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Senior Consultant - Digital Quality & Compliance

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the Regulatory, Risk & Forensic team, you will be responsible for leading validation and compliance activities for complex GxP systems across regulated technology environments.

  • Lead end-to-end validation activities for GxP systems, including validation plans, installation qualification (IQ), operational qualification (OQ), performance qualification (PQ) protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Lead computer system validation (CSV) and computerized system assurance (CSA) deliverables across the shop-floor systems lifecycle (L2 to L6), including risk assessments, validation planning, requirements traceability, test strategy and execution, deviation management, final reporting, and release approval
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, European Union Annex 11, and data integrity requirements
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead corrective and preventive action (CAPA) activities and support validation approaches for artificial intelligence and machine learning-enabled GxP systems and automation testing frameworks, including documentation of governance requirements for non-deterministic outputs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience and 6+ years of experience in computer system validation in a life sciences environment, including pharmaceutical, biotechnology, medical device, or clinical environments
  • Experience leading validation deliverables for GxP systems and computer system validation (CSV) and computerized system assurance (CSA) activities across the shop-floor systems lifecycle (L2 to L6), including validation plans, installation qualification (IQ), operational qualification (OQ), performance qualification (PQ) protocols, summary reports, user requirements specifications, functional specifications, design specifications, traceability matrices, risk assessments, test strategy and execution, deviation management, final reporting, and release approval
  • Hands-on understanding of PLC/SCADA architectures, control strategies, alarms
  • Experience applying 21 CFR Part 11, European Union Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available (ALCOA+) principles
  • Experience managing CAPA lifecycle activities, supporting inspection readiness for Food and Drug Administration (FDA) or European Medicines Agency (EMA) audits, and validating artificial intelligence/machine learning (AI/ML)-enabled systems or automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce, in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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