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Machine Learning Jobs in Lake Worth, FL (NOW HIRING)

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

$130 - $170/hr

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 ...

ServiceNow

Senior Machine Learning Engineer

West Palm Beach, FL · On-site +1

$118K - $156K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to ...

Quant Blueprint LLC

AI Scientist

West Palm Beach, FL · On-site

$100 - $140/hr

Conduct research in the Machine Learning field to enhance multiple aspects of the investment pipeline * Produce trading or predictive signals using innovative Machine Learning algorithms * Implement ...

Pwc

AI Engineer

Boca Raton, FL

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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All JobsMachine Learning JobsMachine Learning Jobs in Lake Worth, FL

Machine Learning information

See Lake Worth, FL salary details

$22.7K

$37.8K

$78.2K

How much do machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning in Lake Worth, FL is $37,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Lake Worth, FL?

The most popular types of Machine Learning jobs in Lake Worth, FL are:

What are popular job titles related to Machine Learning jobs in Lake Worth, FL?

For Machine Learning jobs in Lake Worth, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Lake Worth, FL look for?

The top searched job categories for Machine Learning jobs in Lake Worth, FL are:

What cities near Lake Worth, FL are hiring for Machine Learning jobs?

Cities near Lake Worth, FL with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Lake Worth, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $37,843 per year, or $18.2 per hour.

Machine Learning Engineer

Enboarder

Boca Raton, FL • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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.
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