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Freelance Applied Scientist Machine Learning Jobs in Florida

ClifyX

Sr. Machine Learning Engineer

Bradenton, FL · On-site

$50.50 - $66.75/hr

ClifyX is seeking a Sr. Machine Learning Engineer who will collaborate with a team of Data ... Science, Applied Mathematics, Computer Science, Operations Research or otherwise research-based ...

AAA Global

Machine Learning Researcher

Miami, FL · On-site

AI Scientist | West Palm Beach, FL About Our Client Our client develops and deploys systematic ... Conduct research in Machine Learning to improve multiple aspects of the investment pipeline

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 ... Experience deploying ML/GenAI systems in production environments. * data scientist * Can do ML ...

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL

$27 - $42/hr

... optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science ...

Crowe LLP

Machine Learning Intern

Tallahassee, FL

$27 - $42/hr

... optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science ...

Crowe LLP

Machine Learning Intern

Miami, FL

$27 - $42/hr

... optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science ...

Crowe LLP

Machine Learning Intern

Sarasota, FL

$27 - $42/hr

... optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science ...

Crowe LLP

Machine Learning Intern

Tampa, FL

$27 - $42/hr

... optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Works with cross-functional teams and leverages advanced analytics, applied statistics, AI and ML ... Masters of Science degree preferred. Five (5) or more years of experience in data engineering, data ...

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Freelance Applied Scientist Machine Learning information

What does a freelance applied scientist in machine learning do?

A Freelance Applied Scientist in Machine Learning is a professional who independently works with clients or organizations to design, develop, and implement machine learning models and solutions. Their responsibilities typically include data analysis, building predictive models, and translating business problems into data-driven solutions. They may also be involved in researching new algorithms, optimizing existing models, and communicating findings to stakeholders. Since they work on a freelance basis, they often manage multiple projects and clients simultaneously.

What are the key skills and qualifications needed to thrive as a freelance applied scientist in machine learning?

To excel as a Freelance Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, typically supported by an advanced degree and strong programming skills in Python or similar languages. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data analysis tools is essential, along with relevant certifications like TensorFlow Developer or AWS Machine Learning. Strong problem-solving abilities, self-motivation, and effective communication are crucial for managing projects independently and collaborating with diverse clients. These skills enable successful delivery of high-impact solutions tailored to client needs, ensuring both technical excellence and client satisfaction.

How do freelance applied scientists in machine learning typically collaborate with clients and teams remotely?

Freelance applied scientists in machine learning often work remotely, communicating with clients and teams through regular video calls, messaging platforms, and project management tools. Collaboration usually involves understanding client requirements, clarifying data needs, and providing frequent updates on project progress. Since projects may require input from software engineers, data analysts, or product managers, strong communication skills and the ability to document work clearly are crucial. Freelancers also need to proactively manage their schedules and expectations, as they frequently juggle multiple projects or stakeholders at once.

What is the difference between Freelance Applied Scientist Machine Learning vs Freelance Data Scientist?

AspectFreelance Applied Scientist Machine LearningFreelance Data Scientist
CredentialsAdvanced degrees in ML, AI, or related fieldsDegrees in Data Science, Statistics, or related fields
Work EnvironmentFocus on developing ML models, algorithms, and AI solutionsData analysis, visualization, and statistical modeling
Industry UsageUsed in AI-driven products, research, and advanced analyticsApplied in business insights, reporting, and data-driven decision making

Freelance Applied Scientist Machine Learning professionals specialize in developing and deploying machine learning models and AI solutions, often requiring advanced technical credentials. Freelance Data Scientists focus on analyzing data, creating reports, and deriving insights, with a broader scope of statistical skills. Both roles are in high demand but serve different purposes within data and AI projects.

What are the most commonly searched types of Applied Scientist Machine Learning jobs in Florida?

The most popular types of Applied Scientist Machine Learning jobs in Florida are:

What are popular job titles related to Freelance Applied Scientist Machine Learning jobs in Florida?

For Freelance Applied Scientist Machine Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Freelance Applied Scientist Machine Learning jobs in Florida look for?

The top searched job categories for Freelance Applied Scientist Machine Learning jobs in Florida are:

What cities in Florida are hiring for Freelance Applied Scientist Machine Learning jobs?

Cities in Florida with the most Freelance Applied Scientist Machine Learning job openings:

Freelance Applied Scientist Machine Learning jobs near you

Machine Learning Engineer

Roper Technologies

Sarasota, FL • On-site

Full-time

Re-posted 2 days ago

Roper Technologies rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

14th of 247 rated software companies

Job description

Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses. 
This role will focus on developing scalable machine learning products and services, shared AI components, and intelligent agents that drive meaningful business impact. Depending on experience level, the role may involve leading architectural initiatives, mentoring engineers, and shaping technical strategy. 
 
We are looking for hands-on engineers who are excited about building production-grade AI systems—not just prototypes—and who thrive in a high-impact, applied environment. Candidates who have demonstrated ability to think through product as well as engineering are highly desired.
 
What You’ll Do 
 
AI & ML System Development 
  • Design, build, and deploy machine learning models and AI systems in production environments 
  • Develop components such as:
    • Model inference services 
    • Data and feature pipelines
    • Complex recommendation and matching services
    • Vision based analysis systems
    • Evaluation and monitoring pipelines 
  • Optimize models for performance, reliability, and cost efficiency      
Intelligent Agents & Applied AI 
  • Contribute to the development of AI agents and multi-step workflow automation systems 
  • Build systems that integrate with enterprise tools and APIs 
  • Implement tool-use frameworks, memory mechanisms, and evaluation loops 
  • Experiment with LLMs, foundation models, and fine-tuning approaches 
  • Help translate AI research advances into practical, scalable solutions 
Engineering Excellence 
  • Write high-quality, maintainable, and well-tested code 
  • Participate in architecture design and technical reviews 
  • Contribute to CI/CD pipelines and MLOps workflows 
  • Implement observability and monitoring for AI systems in production 
  • Follow security, compliance, and responsible AI best practices 
Cross-Functional Collaboration 
  • Partner with product, data engineering, and infrastructure teams 
  • Help identify high-impact AI use cases within portfolio companies 
  • Support integration of shared AI components into business applications 
  • Communicate technical tradeoffs clearly to both technical and non-technical stakeholders 
Qualifications 
 
We welcome candidates across a range of experience levels. The scope and seniority of responsibilities will scale accordingly.  
Required 
  • 3+ years of experience in software engineering, data science, or machine learning (more for senior roles) 
  • Experience building and deploying production software systems 
  • Strong programming skills in Python (experience in additional languages is a plus) 
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) 
  • Understanding of modern AI architectures, including LLM-based systems 
  • Experience working with cloud environments (AWS, Azure, or GCP) 
  • Strong problem-solving skills and attention to detail 
 
Preferred  
  • Experience with:
    • Fine tuning, experimentation, etc.
    • Rapid development using AI tools 
    • Agent frameworks and orchestration tools 
    • Distributed systems or microservices architecture 
    • Model monitoring and evaluation frameworks 
  • Experience building reusable libraries or shared infrastructure 
  • Exposure to SaaS products or enterprise software environments 
  • Background in optimizing models for performance and cost
Leveling & Growth 
 
We are hiring across multiple experience levels: 
  • Intermediate ML Engineer – Contributes independently to projects, builds production features, collaborates cross-functionally. 
  • Senior ML Engineer – Owns complex systems end-to-end, drives architectural decisions, mentors others. 
  • Principal / Staff ML Engineer – Defines technical direction, leads cross-portfolio initiatives, designs shared frameworks and scalable AI infrastructure. 
Level and compensation will be determined based on experience and demonstrated expertise. 
 
What We Value 
  • Strong engineering fundamentals 
  • Practical, impact-driven AI development 
  • Curiosity and willingness to experiment responsibly 
  • Ownership mindset and bias toward execution 
  • Ability to balance innovation with reliability 
Why Join Roper 
  • Work on high-impact AI systems across a diverse portfolio of leading software businesses 
  • Build reusable infrastructure that scales across industries 
  • Collaborate with experienced engineering and executive leadership 
  • Shape the next generation of intelligent enterprise software 

What Roper Technologies employees say

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Hours and flexibility

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