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Junior Full Stack Machine Learning Engineer Jobs in Florida

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Machine Learning Engineer

Miami, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

The Role We're looking for a junior or mid-level full stack engineer to help build and maintain the software powering our drone operations platform. You'll work across the stack - from database ...

... machine learning models. We are enhancing our team and looking for a Full-stack Engineer to work with us as we transform our Global Clearing group into a data driven organization. This group is ...

... machine learning models. We are enhancing our team and looking for a Full-stack Engineer to work with us as we transform our Global Clearing group into a data driven organization. This group is ...

We are looking for a Full Stack Software Engineer who builds for the web end to end and owns what ... Openness to learning new technologies as the stack evolves and to improving how the team works, not ...

Showing results 21-40

Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Florida?

The most popular types of Full Stack Machine Learning Engineer jobs in Florida are:

What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Florida look for?

The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Florida are:

What cities in Florida are hiring for Junior Full Stack Machine Learning Engineer jobs?

Cities in Florida with the most Junior Full Stack Machine Learning Engineer job openings:

Infographic showing various Junior Full Stack Machine Learning Engineer job openings in Florida as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Roper Technologies

Sarasota, FL • On-site

Full-time

Re-posted 16 days ago


Roper Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

55th of 245 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

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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