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Product Manager Machine Learning Jobs in Florida

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to ... Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

In this role, you will work on end-to-end GenAl use cases, from model selection to production-ready ... Solid understanding of LLM memory architectures and state management. Proficiency in Python and ML ...

Gogo, Inc.

AI Product Manager

Melbourne, FL · On-site

The AI Product Manager will oversee the development and execution of product requirements, roadmaps ... Remain informed of emerging AI and machine learning technologies, industry developments, and ...

Gogo

AI Product Manager

Melbourne, FL

The AI Product Manager will oversee the development and execution of product requirements, roadmaps ... Remain informed of emerging AI and machine learning technologies, industry developments, and ...

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Product Manager Machine Learning information

See Florida salary details

$38.5K

$119.1K

$147.2K

How much do product manager machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for product manager machine learning in Florida is $119,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Florida? For Product Manager Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Florida look for? The top searched job categories for Product Manager Machine Learning jobs in Florida are:
Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Florida as of May 2026, with employment types broken down into 2% As Needed, 54% Full Time, 40% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $119,122 per year, or $57.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

ENSCO, Inc.

Cocoa Beach, FL • On-site

Other

Posted 7 days ago

Job description

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 3 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        Provide mentorship to junior ML engineers.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
         The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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