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Hourly Embedded Machine Learning Jobs in Florida

Pae

AI Modeling Specialist (Senior)

Doral, FL · On-site

Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ... hourly rate listed for this position is provided as a good-faith estimate of what the company ...

Kelly Services

Machine Operator

Largo, FL · On-site

$17.50/hr

For those who want to keep growing, learning, and evolving. We at Kelly ® hear you, and we're here ... Competitive hourly pay with growth opportunities. * Work in a safe, clean, and modern manufacturing ...

Kelly Services

Machine Operator

Largo, FL

$19.65/hr

For those who want to keep growing, learning, and evolving. We at Kelly ® hear you, and we're here ... Competitive hourly pay with growth opportunities. * Work in a safe, clean, and modern manufacturing ...

Nokturnal AI

Be Seen First

Software Engineer - Robotics & Autonomy

Clearwater, FL · On-site

$150K - $217K/yr

Deploy and optimize algorithms on embedded systems (Jetson, GPU-enabled platforms) with focus on ... Familiarity with computer vision and machine learning tools such as OpenCV, PyTorch, or TensorFlow

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Florida

Hourly Embedded Machine Learning information

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 are the most commonly searched types of Embedded Machine Learning jobs in Florida? The most popular types of Embedded Machine Learning jobs in Florida are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Florida? For Hourly Embedded Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Florida look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Florida are:
What cities in Florida are hiring for Hourly Embedded Machine Learning jobs? Cities in Florida with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Modeling Specialist (Senior)

Pae

Doral, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

*This position is contingent upon contract award*

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations.

As an AI Modeling Specialist (Senior) you will have the opportunity to:

  • Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
  • Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
  • Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
  • Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
  • Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
  • Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
  • Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
  • Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
  • Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
  • Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Required Qualifications:

  • Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance.
  • Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies)
  • Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments
  • Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets
  • Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent)
  • Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models
  • Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets
  • Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers
  • Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments

Preferred Qualifications:

  • Advanced degree (MS or PhD) in AI, machine learning, data science, or related field
  • Experience developing AI-enabled automation frameworks or platforms supporting mission workflows
  • Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts
  • Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics
  • Experience supporting cross-CCMD or distributed data environments at scale
  • Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms)
  • Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics
  • Experience working in joint, interagency, or coalition operational environments
  • Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas

Compensation Details:

$120,000 - 170,000

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

06/26/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.

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