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Embedded Machine Learning Engineer Jobs in New Port Richey, FL

Fintech Brand

Data Engineer - Databricks

Tampa, FL · On-site

$104K - $125K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... This role will design and build data pipelines, deploy machine learning solutions, and ...

LTM

MLOpsEngineer

Tampa, FL · On-site

MLOps Engineer Location: Tampa, FL Seeking a candidate with a 5 to 7 years of experience in MLOps within the Blue verse ML Engineering domain to drive scalable and efficient machine learning ...

Citi

Specialized Analytics Lead Analyst

Tampa, FL · On-site

... advanced machine learning tools and data mining techniques to identify and combat fraud. A key focus of the role is on data and feature engineering; transforming raw and complex datasets into ...

Real Careers

Senior Cybersecurity Engineer - Tampa

Tampa, FL · Hybrid

$108K - $148K/yr

Senior Cybersecurity Engineer - Tampa Tampa, FL 33603 or Dallas, TX 75203 - Hybrid They offers a ... machine learning. RESPONSIBILITIES: * Responsible for providing 4th and 5th level support for ...

Accenture Federal Services

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... machine learning use cases. * Help define data models, schemas, and metadata within governed data ... Collaborate with senior engineers to implement data governance and security best practices.

Socket.dev

Senior Data Engineer

Tampa, FL · On-site

$77K - $180K/yr

Data Engineers will be embedded within the SOCOM HQ to provide subject matter expertise and ... A basic knowledge in machine learning is also required to build efficient and accurate data ...

Accenture Federal Services

AI / ML Engineer

Tampa, FL · On-site

This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery. Responsibilities * Design, develop ...

Humana

Lead AI Software Engineer

Tampa, FL · On-site

Develop production-grade applications integrating AI and machine learning capabilities. * Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable ...

New

Humana

Lead AI Software Engineer

Tampa, FL

Develop production-grade applications integrating AI and machine learning capabilities. * Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable ...

New

Humana

Lead AI Software Engineer

Tampa, FL · On-site

Develop production-grade applications integrating AI and machine learning capabilities. * Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable ...

New

Talon Hiring Solutions

Data Engineer (Remote)

Tampa, FL · Remote

$130K - $145K/yr

The current engineering tech stack includes; Fivetran, Azure data Factory, APIs, Webscraping, dbt ... Familiarity with machine learning workflows, predictive modeling, or feature stores . * Experience ...

New

Virtusa

Agentic AI developer

Tampa, FL · On-site

$114K - $154K/yr

Experience designing and deploying machine learning systems across training, inference, and monitoring * Strong understanding of system architecture, distributed systems, and data engineering ...

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Showing results 41-60

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in New Port Richey, FL

Embedded Machine Learning Engineer information

See New Port Richey, FL salary details

$62.3K

$136.6K

$155K

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

As of Sep 14, 2026, the average yearly pay for embedded machine learning engineer in New Port Richey, FL is $136,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $154,100.00 per year, depending on experience, location, and employer.

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 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 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 New Port Richey, FL?

For Embedded Machine Learning Engineer jobs in New Port Richey, FL, the most frequently searched job titles are:

What cities near New Port Richey, FL are hiring for Embedded Machine Learning Engineer jobs?

Cities near New Port Richey, 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 New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $136,617 per year, or $65.7 per hour.

Data Engineer - Databricks

Tampa, FL • On-site

Fintech Brand
See more jobs at Fintech Brandexternal

$104K - $125K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision‑making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities

Project Responsibility: End-to-end data pipelines and integrations

  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose‑built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end‑to‑end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large‑scale ML workloads
  • Explore and implement LLM‑based solutions, RAG architectures, and generative AI for business use cases.
Soft Skills
  • Cross‑functional collaboration with product and engineering teams
  • Analytical thinking for complex data problems
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability
  • Vendor Management: Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects
Qualifications

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production.

Benefits
  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short‑Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Holiday Bonus
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

Fintech is a Drug‑Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy‑related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E‑Verify.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.

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