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Embedded Machine Learning Engineer Jobs in Clearwater, FL

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data. In this role, you'll own and define the direction of ...

Research Software Engineer

Tampa, FL · On-site

$193K/yr

The Research Software Engineer will develop software tools for machine learning applications in cancer research, collaborating with a multidisciplinary team to support various research projects.

Senior AI Engineer - SFL Scientific

Tampa, FL · On-site

$98K - $135K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

AI Engineer

Tampa, FL · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Responsibilities : • AIML Model Development • Design build and optimize machine learning and ... Engineering Pipelines • Prepare transform and manage datasets build feature pipelines and model ...

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

... engineering, and the use of artificial intelligence and machine learning for cyber defense and ... embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team ...

Senior Software Engineer

Tampa, FL · On-site

$90 - $140/hr

... Programming methodologies and design patterns. * Develop highly performant backend service ... Integrate Machine Learning components into microservices and collaborate with infrastructure teams ...

New

Principal Software Engineer

Tampa, FL

$127K - $171K/yr

Yourexpertisein both machine learning and operations will be essential in creating efficient and reliable ML pipelines.A background in data engineering, including experience with data pipelines and ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. A background in data engineering, including experience with data pipelines ...

Be Seen First

Deploy and optimize algorithms on embedded systems (Jetson, GPU-enabled platforms) with focus on ... Familiarity with computer vision and machine learning tools such as OpenCV, PyTorch, or TensorFlow

Showing results 41-60

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:
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.

$61K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Data Engineer, Mid

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct mathematical, statistical, and business process analyses using ML techniques makes you an integral part of delivering a customer-focused solution. As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit digital and ML algorithms and technologies. You'll be part of a talented team of AI, ML, and data engineers across the company and collaborate with other developers to deliver world class solutions to senior military officials. Your skills and extensive technical expertise will guide customers as they navigate complex geopolitical landscapes, operations, and missions.

Join us. The world can't wait.

You Have:

  • 2+ years of experience in a professional work environment working with interdisciplinary teams

  • 2 + years of experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale

  • 2 + years of experience with designing, developing, operationalizing, and maintaining complex relational databases at enterprise scale

  • Experience creating software for retrieving, parsing, and processing structured and unstructured data

  • Experience coding in either Python, R, or R Studio, and SQL

  • Experience building scalable ETL and ELT workflows including scripting and translating between multiple file formats

  • Experience with public clouds such as AWS, Microsoft Azure, or Google Cloud

  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms

  • TS/SCI clearance

  • Bachelor's degree

Nice If You Have:

  • Experience at a Combatant Command

  • Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS EMR, Kafka, Bash and Scala

  • Experience with NoSQL implementation, including MongoDB

  • Experience with data warehousing using AWS Redshift, MySQL, PostgreSQL, or Snowflake

  • Experience with Java and .NET

  • Experience with working on real-time data and streaming applications

  • Experience with Agile engineering practices

  • Possession of excellent oral and written communication, organization, and time management skills, to handle multiple tasks simultaneously

  • Master's degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914