1

Embedded Machine Learning Engineer Jobs in Brooksville, FL

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

US Tech - AI Engineering Manager

Tampa, FL

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Agentic AI developer

Tampa, FL

$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 ...

CTIO - AI Engineer- Senior Manager

Tampa, FL

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

New

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

AI Solutions Software Developer

Tampa, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use machine learning, natural language processing, OCR, automation, Generative AI, and model ... We're committed to leading our clients across our various end markets to engineer a better future ...

MLOps Engineer - CI/CD & Simulation - TS/SCI

Tampa, FL

$103K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning models and automate large-scale simulation pipelines. Your focus will be on ... Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, or a related ...

Data Architect

Tampa, FL

$60.25 - $77.50/hr

Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers. * Experience creating, maintaining, and ...

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

Cyber Manager - AI SOC

Tampa, FL · On-site

$104K - $141K/yr

Serving as an embedded engineering lead with client teams to translate operational workflows and ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

The DevSecOps Engineer (Platform Team) will leverage their strong technical background and ... Experience with MLOps, including building and deploying machine learning models. * Knowledge of ...

Software Engineer (Systems Eng)

Brooksville, FL · On-site

$140K - $166K/yr

This position requires expertise in systems engineering, embedded software, and hardware design ... Experience with automated control systems or industrial/commercial machinery. Knowledge of fluid ...

Agentic AI Engineer - Vice President

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Agentic AI Engineer is a strategic professional deeply immersed in the Artificial Intelligence and Machine Learning (AI/ML) field, with a strong, hands-on focus on leading agentic flow design ...

FPGA Engineer

Tampa, FL · On-site

$122K - $157K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded ... Continuous Learning: Actively stay up-to-date with the latest advancements in FPGA technology and ...

Showing results 41-60

Embedded Machine Learning Engineer information

See Brooksville, FL salary details

$57.5K

$125.9K

$142.8K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Brooksville, FL is $125,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $142,000.00 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 Brooksville, FL?

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

What cities near Brooksville, FL are hiring for Embedded Machine Learning Engineer jobs?

Cities near Brooksville, FL with the most Embedded Machine Learning Engineer job openings:

Infographic showing various Embedded Machine Learning Engineer job openings in Brooksville, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,900 per year, or $60.5 per hour.

Full-time

Posted 26 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

We are seeking an AI Engineer with strong experience in Large Language Models (LLMs) and RetrievalAugmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery.

Key Responsibilities

  • Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration.
  • Build and optimize LLMpowered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation.
  • Apply core software engineering and ML fundamentals to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
  • Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
  • Integrate cloudnative services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with crossfunctional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Required Skills

  • Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
  • Strong programming skills in Python; familiarity with Java/C++ is a plus.
  • Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace).
  • Solid understanding of algorithms, data structures, APIs, and distributed systems.
  • Experience with cloud platforms (AWS or Azure) and containerization (Docker).
  • Ability to work across structured and unstructured datasets.

Preferred Skills

  • Experience building productionready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML).
  • Understanding of data governance, security constraints, and model risk management.
  • Ability to communicate complex technical concepts to nontechnical stakeholders.

Security Clearance: 

  • Active TS/SCI Clearance

#LI-Defense 

#LI-Hybrid 


What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom