1

Machine Learning Software Engineer Jobs in Florida

This role will focus on applying machine learning, automation, and high-performance computing to ... software development, machine learning, or AI systems engineering. Strong programming skills in ...

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position 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 ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Principal Software Engineer What you will do Let's do this. Let's change the world. In this vital ... Your expertise in both machine learning and operations will be essential in creating efficient and ...

They are seeking a Machine Learning Engineer to own the design and implementation of core pricing ... Required : • 5+ years of professional backend software engineering experience • Significant ...

As a software developer, you will write innovative software solutions using modern methodologies ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

New

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

More typical DevOps responsibilities for software development as required. Required Qualifications * 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant ...

next page

Showing results 1-20

Machine Learning Software Engineer information

See Florida salary details

$47.5K

$110.2K

$153.6K

How much do machine learning software engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning software engineer in Florida is $110,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Florida? The most popular types of Machine Learning Software Engineer jobs in Florida are:
What are popular job titles related to Machine Learning Software Engineer jobs in FL? For Machine Learning Software Engineer jobs in FL, the most frequently searched job titles are:
Machine Learning Engineer

Machine Learning Engineer

Modernizing Medicine, Inc.

Boca Raton, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Join the Team Modernizing Medicine

AtModMed, we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach:we hired doctors and taught them how to code.This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence

When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

  • Consistently ranked as a Top Place to Work

  • 2025 Globee Business Awards:Gold Globee for "Technology Team of the Year"

  • 2025 Black Book Awards:Ranked #1 EHR in 11 Specialties

  • Florida Venture Forum:Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.

Ready to modernize medicine with us?

Job Description Summary:

We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging patient messages and managing clinical workflows.

Your mission is to design systems that don't just respond, but act-executing complex tasks with minimal human intervention while maintaining high standards of safety, empathy, and accuracy.

What you'll do

  • Autonomous Agent Development
    Design and deploy multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or no-code/low-code agent frameworks to execute complex, non-linear clinical workflows.

  • Patient Engagement Agents
    Build and optimize conversational AI interfaces that handle message triage, sentiment analysis, and context-aware responses that are natural, empathetic, and patient-centric. Develop tool-calling architectures that enable AI agents to interact with external APIs, EHR systems, and databases to perform real-world actions.

  • Model & Agent Evaluation
    Design and implement evaluation frameworks to measure model and agent performance, including accuracy, reliability, safety, and task completion. Continuously improve systems using structured evaluation methodologies and feedback loops.

  • Safety & Guardrails
    Implement robust evaluation pipelines and guardrails (e.g., NeMo Guardrails) to ensure agent safety, clinical accuracy, and HIPAA compliance.

  • AI Observability
    Create and maintain dashboards to monitor agent reasoning traces, system performance, uptime, and task completion rates in production environments.

What you'll bring

  • 3+ years of experience in Machine Learning with a strong focus on AI agents and conversational NLP systems.

  • Proven experience building autonomous systems using LangGraph, AutoGen, CrewAI, or similar no-code/low-code agent frameworks.

  • Hands-on experience with fine-tuning models and implementing rigorous evaluation frameworks to ensure agent performance, safety, and reliability. Familiarity with techniques for detecting hallucinations, bias, and failure modes in agent behavior.

  • Strong understanding of guardrails, alignment techniques, and safety mechanisms to ensure compliant, accurate, and trustworthy agent outputs in sensitive environments.

  • Hands-on experience with AWS and Databricks, including building CI/CD pipelines for deploying machine learning models and AI agents.

  • Strong proficiency in Python and experience with modern evaluation frameworks such as RAGAS or DeepEval.

ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

United States

  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.