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Embedded Machine Learning Engineer Jobs in Davenport, FL

CAE, Inc.

Software Engineer

Orlando, FL · On-site

Summary CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

The Walt Disney Company

Senior Data Engineer

Orlando, FL · On-site

$99K - $134K/yr

Senior Data Engineer Req ID: 10155439 About the Role & Team: "We Power the Magic!" That's our motto ... machine learning Uphold design standards and quality assurance protocols for the development of ...

Ucf

Post Doctoral Scholar, Physics

Orlando, FL · On-site

Strong programming experience with PyTorch for machine learning and scientific computing applications. Additional Application Materials Required: UCF requires all applications and supporting ...

Siemens Energy, Inc.

AI Engineer

Orlando, FL · On-site

Large language models (LLM), generative AI, NLP, and machine learning * Frameworks and patterns ... AWS and/or Azure deployment and support * DevOps practices * Modern front-end frameworks such as ...

Trilon

Applied AI Field Engineer

Orlando, FL · On-site

Contribute reusable patterns, components, and best practices across pods * 4+ years of experience in software engineering, applied AI, or machine learning development * Strong programming skills in ...

Varsity Tutors

Data Science Tutor

Orlando, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Trilon Group

Applied AI Field Engineer

Orlando, FL · On-site

$155K - $190K/yr

Contribute reusable patterns, components, and best practices across pods Skills, Knowledge and Expertise * 4+ years of experience in software engineering, applied AI, or machine learning development

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Davenport, FL

Embedded Machine Learning Engineer information

See Davenport, FL salary details

$62.2K

$136.3K

$154.6K

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

As of Aug 7, 2026, the average yearly pay for embedded machine learning engineer in Davenport, FL is $136,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $153,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Davenport, FL? For Embedded Machine Learning Engineer jobs in Davenport, FL, the most frequently searched job titles are:
What cities near Davenport, FL are hiring for Embedded Machine Learning Engineer jobs? Cities near Davenport, FL with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Davenport, FL as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $136,267 per year, or $65.5 per hour.

Software Engineer

CAE, Inc.

Orlando, FL • On-site

Full-time

Re-posted 23 days ago

CAE rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

26th of 72 rated aerospace companies

Job description

Who We Are:
  • CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, and civil aviation by revolutionizing our customers' training and critical operations with digitally immersive solutions to elevate safety, efficiency and readiness.
  • CAE Defense & Security Mission: CAE's Defense and Security business unit focuses on helping prepare military customers to develop and maintain the highest levels of mission readiness.
  • CAE Values: Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make a difference in the world while helping each other succeed.

What We Have to Offer:
  • Comprehensive and competitive benefits package and flexibility that promotes work-life balance
  • A work environment where all employees are valued, respected and safe
  • Freedom to succeed by enabling team members to deliver, take initiatives and make decisions
  • Recognition, professional development, advancement and having fun!

Summary
CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based software products for internal Research and Development and/or Department of Defense contracts. This position is a fully on-site position with location in Orlando or Tampa, Florida.
Essential Duties and Responsibilities
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Support the development, deployment, and sustainment of technology demonstrators
  • Present and conduct technology demonstrations to leadership and potential customers
  • Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test
  • Perform as part of an Agile (SAFe) team (scrums, planning, retrospectives)
  • May include travel

Qualifications and Education Requirements
  • The skillsets required for this role will vary based on what systems you are working on. To be considered, you should have knowledge and experience in 2 or more of the following categories:
  • Frontend development (Angular, React, Vue, Typescript, etc.)
  • Experience with real time streaming applications
  • Experience with GIS
  • Experience with WFS/WMS layers
  • Experience with Cesium
  • Experience with Geoserver
  • Backend development (C#, .NET, C++, Python, Node, etc.)
  • Data storage and messaging (PostgreSQL, Neo4J, RabbitMq, Kafka, WebSockets, etc.)
  • DevOps (Docker, Kubernetes, ArgoCD, OpenShift, Jenkins, Terraform, GitLab Runner, etc.)
  • Cloud Systems (Azure, GCP, AWS)
  • Bachelor's degree in engineering, software, or computer science.
  • Minimum of 5 years of relevant software engineering experience
  • Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

Preferred Skills
  • Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling
  • Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium)
  • SAFe Certification
  • Experience with gaming technologies such as Unity 3D, Unreal Engine
  • IAT Level 2 Certification (e.g. Security +)

Security Responsibilities
Must comply with all company security and data protection / usage policies and procedures. Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need-to-know. Shall not divulge information outside company without management approval. All government and proprietary information will be accessed and stored electronically on company provided resources.
  • Incumbent must be eligible for DoD Personal Security Clearance.

Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
  • Must be able to perform normal office duties (sitting for long periods at a desk and in technical meetings)
  • Must be able to climb stairs on a regular basis
  • Must be willing to work overtime
  • Must be able to travel CONUS and to international sites
  • Must be able to travel via car and airplane

Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for their job. Duties, responsibilities, and activities may change at any time with or without notice.
CAE USA Inc. is an equal opportunity employer, and all qualified applicants will be considered for employment without regard to any protected characteristic, including disability and protected veteran status, as defined under federal, state, or local laws.
Applicants needing reasonable accommodations should contact their recruiter at any point in the recruitment process. If you need assistance to submit your application because of incompatible assistive technology or a disability, please contact us at hrops@caemilusa.com
About CAE
At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.
Position Type
Regular
Equal Opportunity Employer
CAE is an equal opportunity employer committed to providing equal employment opportunities to all applicants and employees without regard to race, color, national origin, age, religion, sex, disability status, protected veteran status, or any other characteristic protected by federal, state or local laws. At CAE, everyone is welcome to contribute to our success. Applicants needing reasonable accommodations should contact their recruiter at any point in the recruitment process. If you need assistance to submit your application because of incompatible assistive technology or a disability, please contact us at CAECarrieres-Careers@cae.com.
Data Privacy
Privacy Statement | CAE
As part of our process, we may use AI-supported tools to help review applications, with human decision-making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

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