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Product Manager Machine Learning Jobs in Florida

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning ... Develop ML models and production-ready AI solutions. * Implement and manage LLM memory and state ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL

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 ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Familiarity with Docker initialization and environment management. What We Have To Offer Flexible ...

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to manage multiple projects independently * Working knowledge of statistics, machine learning and deep-learning algorithms * 2+ Years Experience * Bachelor's degree in Mathematics, Statistics ...

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to manage multiple projects independently * Working knowledge of statistics, machine learning and deep-learning algorithms * 2+ Years Experience * Bachelor's degree in Mathematics, Statistics ...

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to manage multiple projects independently * Working knowledge of statistics, machine learning and deep-learning algorithms * 2+ Years Experience * Bachelor's degree in Mathematics, Statistics ...

Chewy

Machine Learning Engineer II

Plantation, FL · On-site

$119K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deploy machine learning models to production environments, ensuring scalability, reliability, and ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... managing clinical workflows. Your mission is to design systems that don't just respond, but act ... production environments. What You'll Bring * 3+ years of experience in Machine Learning with a ...

Ema, Inc.

Machine Learning Engineer

Tampa, FL · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to manage multiple projects independently * Working knowledge of statistics, machine learning and deep-learning algorithms * 2+ Years Experience * Bachelor's degree in Mathematics, Statistics ...

New

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Florida

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 Aug 14, 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.

How does a product manager 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 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 the key skills and qualifications needed to thrive as a product manager machine learning?

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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $119,122 per year, or $57.3 per hour.

Machine Learning Engineer

Northern Base

Sunrise, FL • On-site

$90K - $110K/yr

Full-time

Posted 22 days ago

Job description

Job Description
Role -  Machine Learning Engineer
Experience Required -8+ Years
 
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
 
Must Have Technical/Functional Skills:
 
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
• Implement short-term and long-term memory strategies for LLM-based systems.
• Optimize prompts, retrieval pipelines, and orchestration logic.
• Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualifications 
• Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
• Hands-on experience with LangChain and/or LangGraph.
• Solid understanding of LLM memory architecture and state management.
• Proficiency in Python and ML engineering best practices.
Nice to Have
• Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
• Experience deploying ML/GenAI systems in production environments.
• data scientist
• Can do ML model
 
Roles & Responsibilities
 
• Design, develop, and deploy GenAI applications using LLMs.
• Build and implement agentic workflows using LangChain/LangGraph.
• Develop ML models and production-ready AI solutions.
• Implement and manage LLM memory and state management strategies.
• Optimize prompts, retrieval pipelines, and orchestration workflows.
• Collaborate with product and platform teams to deliver scalable AI solutions.
• Deploy, monitor, and maintain AI/ML systems in production environments.
• Evaluate and integrate open-source and proprietary LLMs.
 
Base Salary Range : $90,000 to $110,000 Per Annum