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Machine Learning Engineer Jobs in Lake Worth, FL

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 ...

Bespoke Labs

Machine Learning Engineer

Boca Raton, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Lake Worth, FL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Pwc

AI Engineer

Boca Raton, FL · On-site

$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 Engineer JobsMachine Learning Engineer Jobs in Lake Worth, FL

Machine Learning Engineer information

See Lake Worth, FL salary details

$28K

$114.4K

$172K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Lake Worth, FL is $114,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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

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

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

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer 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 $114,433 per year, or $55 per hour.

Machine Learning Engineer

Enboarder

Boca Raton, FL • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

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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