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Machine Learning Engineer Jobs in Naples, FL (NOW HIRING)

The Hertz Corporation

Sr Data Engineer

Estero, FL · On-site

$130K/yr

Build data integrations supporting analytics, reporting, machine learning, and operational use ... Mentor junior engineers and promote data engineering best practices. Required Qualifications

New

Hertz

Senior Data Scientist - Fleet Analytics

Estero, FL · On-site

$94.50 - $115.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python) * 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and ...

Lindsay & Brownell

AI Consulting Manager

Naples, FL · On-site

... machine learning, and emerging technologies to solve complex business challenges. This role is ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

Eisneramper Llp

AI Consulting Manager

Naples, FL · On-site

... machine learning, and emerging technologies to solve complex business challenges. This role is ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

Marmon

Component Cell Machine Operator

Naples, FL · On-site

$16 - $19/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Marmon

Braiding Machine Operator

Naples, FL

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Hertz

Senior Data Scientist - Fleet Analytics

Estero, FL · On-site

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python) * 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and ...

Cliftonlarsonallen

Manager of Data Science

Naples, FL

  • Medical

  • Dental

  • Vision

  • Retirement

Guide the development and application of advanced statistical, machine learning, and AI-driven ... Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well ...

Marriott

Residences Engineer II

Naples, FL · On-site

Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify ... Program TV's and perform general housekeeping and engineering-related duties. Assist with surface ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Naples, FL

Machine Learning Engineer information

See Naples, FL salary details

$29.7K

$121.3K

$182.2K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Naples, FL is $121,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $146,000.00 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 Naples, FL?

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Naples, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,277 per year, or $58.3 per hour.

Sr Data Engineer

The Hertz Corporation

Estero, FL • On-site

$130K/yr

Full-time

Posted yesterday

New

Hertz rating

6.3

Company rating: 6.3 out of 10

Based on 197 frontline employees who took The Breakroom Quiz

139th of 174 rated vehicle equipment hire

Job description

A Day in the Life
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and workflows that support analytics, business intelligence, machine learning, and software products. This role partners closely with Data Scientists, Engineers, Analysts, Developers, and business stakeholders to deliver trusted, high-quality data solutions that drive operational efficiency and data-driven decision making.
As part of a 12-person Data Engineering team, this individual will help build and maintain a single source of truth for enterprise data. The role is heavily focused on the engineering side of the platform, developing and optimizing Silver and Gold layer data assets that support reporting, analytics, and downstream business applications.

Anticipated hiring rate starts at: $130,000. Actual base salary will be determined based on work location, relevant experience, skills, qualification and other job related factors.

Visa sponsorship is not available for these roles.

What You'll Do
  • Design, build, and maintain scalable ETL/ELT pipelines and data workflows.
  • Develop and optimize Silver and Gold layer datasets within a modern data lake architecture.
  • Build data integrations supporting analytics, reporting, machine learning, and operational use cases.
  • Perform data ingestion, cleansing, transformation, migration, and validation activities.
  • Develop automated workflows to improve operational efficiency and data reliability.
  • Ensure data quality, integrity, and performance across enterprise data platforms.
  • Support batch and streaming data processing initiatives.
  • Design, implement, test, and document data pipelines and integrations.
  • Identify opportunities to simplify, automate, and modernize existing data processes.
  • Partner with cross-functional teams to deliver trusted, curated datasets for business consumption.
  • Mentor junior engineers and promote data engineering best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • 8+ years of hands-on Data Engineering or ETL development experience.
  • 2+ years of experience working with Data Lakes in a cloud environment.
  • Strong experience building and supporting enterprise-scale ETL/ELT solutions.
  • Hands-on experience with Databricks and/or PySpark.
  • Experience developing and optimizing data pipelines within modern lakehouse architectures.
  • Experience with ETL tools such as Informatica.
  • Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis.
  • Strong programming skills in Python, Scala, Java, or similar languages.
  • Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
  • Experience with Azure and/or AWS cloud platforms.
  • Experience supporting Medallion Architecture, including Silver and Gold layers.
  • Experience improving data quality, governance, and operational efficiency.
  • Experience building streaming and real-time data processing solutions.
  • Agile/Scrum experience.
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
 
US EEO STATEMENT 
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. 
Individuals are encouraged to apply for positions because of the characteristics that make them unique. 
EOE, including disability/veteran

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