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Embedded Machine Learning Engineer Jobs in Clearwater, FL

Dexian

Senior Applied Machine Learning Engineer

Tampa, FL · On-site

$115K - $152K/yr

Senior Applied Machine Learning Engineer Location : Tampa (Hybird) Length : Contract To Hire About ... embedded business tools. * Continuously monitor, evaluate, retrain, and improve models using ...

New

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · Hybrid

$108K - $129K/yr

THE OPPORTUNITY As a machine learning engineer, you will have the opportunity to learn and apply RMS' methodologies to solve analytical problems critical to driving high-end business value to our ...

Posted today

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · Hybrid

$108K - $129K/yr

THE OPPORTUNITY As a machine learning engineer, you will have the opportunity to learn and apply RMS' methodologies to solve analytical problems critical to driving high-end business value to our ...

Posted today

Bespoke Labs

Machine Learning Engineer

Tampa, FL

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Five (5) or more years of experience in data engineering, data science, or a related role, with hands-on experience in building and deploying machine learning models. CERTIFICATES, LICENSES ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Five (5) or more years of experience in data engineering, data science, or a related role, with hands-on experience in building and deploying machine learning models. CERTIFICATES, LICENSES ...

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Showing results 1-20

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

Embedded Machine Learning Engineer information

See Clearwater, FL salary details

$64.5K

$141.4K

$160.4K

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 Clearwater, FL is $141,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $159,400.00 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 Clearwater, FL? For Embedded Machine Learning Engineer jobs in Clearwater, FL, the most frequently searched job titles are:
What cities near Clearwater, FL are hiring for Embedded Machine Learning Engineer jobs? Cities near Clearwater, 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 Clearwater, FL as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 26% Part Time, 1% Temporary, and 7% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $141,370 per year, or $68 per hour.

Senior Applied Machine Learning Engineer

Dexian

Tampa, FL • On-site

$115K - $152K/yr

Contractor

Posted 2 days ago

New

Job description

Senior Applied Machine Learning Engineer
Location: Tampa (Hybird)
Length: Contract To Hire
About the Opportunity
We're seeking a Senior Applied Machine Learning Engineer to develop intelligent, production-ready solutions that directly improve business operations and revenue outcomes. This role combines machine learning, software engineering, and data science to solve real-world operational challenges.
You'll partner closely with business leaders across Sales, Operations, and Customer Success to design, deploy, and continuously improve predictive models that influence critical business decisions. From optimizing customer scheduling to forecasting operational demand, you'll play a key role in transforming data into measurable business value.
What You'll Do
  • Design, develop, and deploy production-ready machine learning models that support core business operations.
  • Build predictive models to prioritize inbound leads and improve sales conversion.
  • Develop forecasting models to predict appointment outcomes, including cancellations, no-shows, and conversion probability.
  • Create intelligent scheduling recommendations that optimize appointment timing, technician routing, and daily operational efficiency.
  • Build forecasting models that anticipate staffing and technician capacity needs across geographic regions and seasonal demand.
  • Apply Natural Language Processing (NLP) techniques to customer interactions and call transcripts to identify trends, coaching opportunities, and performance insights.
  • Work closely with business stakeholders to identify additional automation and predictive analytics opportunities.
  • Deploy machine learning solutions through internal applications, REST APIs, dashboards, and embedded business tools.
  • Continuously monitor, evaluate, retrain, and improve models using operational feedback and evolving business data.
  • Engineer meaningful data features from operational, customer, and field-service data to improve model accuracy and business outcomes.
Required Qualifications
  • 3-5+ years of experience as a Machine Learning Engineer, Applied Data Scientist, or similar role.
  • Strong proficiency with Python and SQL.
  • Experience developing machine learning models using frameworks such as:
    • Scikit-learn
    • XGBoost
    • TensorFlow
    • PyTorch
  • Proven experience deploying machine learning models into production environments.
  • Strong understanding of model evaluation, validation, and performance optimization.
  • Experience developing backend services using Node.js and building RESTful APIs.
  • Experience packaging and operationalizing machine learning models for business applications.
  • Ability to collaborate directly with technical and non-technical stakeholders to translate business problems into scalable ML solutions.
Preferred Qualifications
  • Experience working with Google Cloud Platform (GCP).
  • Familiarity with modern MLOps platforms such as MLflow, Vertex AI, or similar tooling.
  • Experience working with Snowflake or enterprise cloud data warehouses.
  • Knowledge of API-driven architectures and production model deployment.
  • Experience building dashboards or integrating model outputs into business intelligence platforms such as Tableau or Power BI.
  • Experience working with geospatial optimization, routing algorithms, dispatch systems, or operational logistics.
  • Exposure to voice or contact center technologies, including platforms such as Twilio or RingCentral.
  • Experience supporting industries such as home services, logistics, transportation, field operations, or other operationally intensive environments.
What We're Looking For
The ideal candidate enjoys solving complex business problems using machine learning and modern software engineering practices. You are comfortable working across the full lifecycle-from data exploration and feature engineering to production deployment and ongoing model optimization.
Success in this role comes from combining strong technical expertise with curiosity, business acumen, and the ability to deliver solutions that create measurable operational impact.
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/ .
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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