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Hourly Embedded Machine Learning Jobs in Florida

Lead DS- Remote

Miami, FL · On-site +1

$90 - $100/hr

Remote Compensation: $90-$100 hourly Job Type: Long Term Contract Job Summary We are seeking a Lead ... This role combines machine learning, operations research, and optimization techniques to drive ...

Support annotation of datasets and development of machine learning models, including training and ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

Support annotation of datasets and development of machine learning models, including training and ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

Cyber Manager - AI SOC

Jacksonville, FL · On-site

$102K - $139K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

Cyber Manager - AI SOC

Tampa, FL · On-site

$104K - $141K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

Cyber Manager - AI SOC

Tallahassee, FL

$105K - $142K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

Cyber Manager - AI SOC

Miami, FL

$106K - $143K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

... embedded graphics cores. You will also collaborate with members of other disciplines and top ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

GPU Design Verification Engineer

Orlando, FL

$127K - $155K/yr

... embedded graphics cores. You will also collaborate with members of other disciplines and top ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Senior AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Senior AI Engineer

Miami, FL · On-site +1

$99K - $137K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Showing results 41-60

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 cities in Florida are hiring for Hourly Embedded Machine Learning jobs? Cities in Florida with the most Hourly Embedded Machine Learning job openings:
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.

Research Engineer, Guidance, Navigation, and Control, Daytona Beach Campus

Embry-Riddle Aeronautical University

Daytona Beach, FL • On-site

Full-time

Retirement, PTO

Posted 11 days ago


Embry-Riddle Aeronautical University rating

7.2

Company rating: 7.2 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

384th of 616 rated colleges and universities


Job description


The Opportunity
The Advanced Dynamics and Control Laboratory in the College of Engineering at Embry-Riddle Aeronautical University invites applications for a Research Engineer position in the area of Guidance, Navigation, and Control (GNC). The successful candidate will contribute to cutting-edge research focused on intelligent and adaptive flight control systems, path planning under uncertainty, and machine-learning-enhanced autonomy for Advanced Air Mobility. The anticipated start date is Fall 2026 or Spring 2027.
Responsibilities include:
  • Conducting advanced research in GNC with applications to aerospace systems
  • Designing, implementing, and testing control algorithms in simulation and hardware platforms
  • Contributing to publications and reports; presenting research findings at conferences
  • Collaborating with faculty, graduate students, and external partners
  • Supporting laboratory activities, including flight testing and system integration

About us
For nearly 100 years, Embry-Riddle has been the world's leading aviation and aerospace university, educating more than 30,000 students across residential campuses in Daytona Beach, Florida, and Prescott, Arizona, as well as through a global network of Worldwide locations and online programs. With more than 165,000 alumni around the world, our impact reaches every corner of the aerospace, aviation, defense and technology industries.
Today, our faculty, researchers and professional staff are advancing innovation across aviation, space, artificial intelligence, cybersecurity, autonomous systems and next-generation engineering. Working alongside industry leaders, government agencies and innovators, they are solving real-world challenges and shaping the technologies that will define tomorrow.
Whether you are an educator, researcher, administrator, technologist or industry professional, your work at Embry-Riddle will contribute to something bigger than a job. Join a community driven by discovery, purpose and excellence-and help shape the future of aerospace.
Perks Await You at Embry-Riddle!
  • Tuition Coverage: Get 100% tuition coverage for yourself for one undergraduate and one graduate degree, and discounted rates for your spouse and dependent children up to age 26.
  • Retirement Contributions: ERAU contributes 6% of your base salary to your retirement plan and offers a 4% matching contribution - with no vesting period.
  • Generous Time Off: Enjoy up to 18 days of paid leave in your first year, including 3 days granted upon hire and 15 days accrued throughout the year. You'll also receive 9+ paid holidays, including the day after Thanksgiving and the week between Christmas Eve and New Year's Day.

Qualifications
Required Education and Qualifications:
  • Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science/Engineering, or a closely related field by the start date.
  • Strong foundation in at least one of the following areas:
    • Adaptive control theory
    • Guidance and path planning
    • Machine learning for control or estimation
    • Excellent communication skills and a demonstrated ability to work independently and in a team environment.

Preferred Qualifications:
  • Experience with real-time embedded systems.
  • Background in AI-control frameworks.
  • Proficiency in MATLAB/Simulink and Python.
  • Flight testing and instrumentation

Application process/requirements
Review of applications will begin immediately and will continue until the position is filled.
To submit your application for this opportunity, please visit the Embry-Riddle Career Site and search for requisition number R311804. Please attach all relevant materials to your application when you apply online. Complete submissions include:
  • Cover letter
  • Full CV
  • Statements of research philosophy
  • Contact information for at least three professional references (please note that references may be contacted as part of the interview/screening process)

Current Embry-Riddle employees: Please apply directly through the ERAU Employee Hub Central application within Workday.
Embry-Riddle is committed to fostering a workplace where all individuals are valued and respected. We strive to ensure that all faculty, staff, and students are treated fairly and provided equal opportunities for employment, advancement, compensation, training, and other benefits of employment. Embry-Riddle makes employment decisions - including hiring, promotions, compensation, and other terms of employment - based on individual merit, qualifications, and abilities. Embry Riddle is strongly opposed to discrimination and harassment, and such behavior is prohibited by university policy. Embry Riddle does not discriminate on the basis of race, color, national origin, sex, disability, veteran status, predisposing genetic characteristics, age, religion, or pregnancy status, or any other status protected by federal, state, or local law, in its employment, educational programs, admissions policies, financial aid, or other school-administered programs or activities. For further information, please visit our website.
Embry-Riddle is not seeking assistance from staffing or recruitment agencies. All agencies are directed to contact eraujobs@erau.edu and should not reach out to hiring managers or staff.

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