1

Senior Machine Learning Engineer Jobs in Naples, FL

Sr Data Engineer

Estero, FL · On-site

$130K/yr

A Day in the Life The Senior Data Engineer will be responsible for designing, building, and ... Build data integrations supporting analytics, reporting, machine learning, and operational use ...

Sr Data Engineer

Estero, FL · On-site

$130K/yr

A Day in the Life The Senior Data Engineer will be responsible for designing, building, and ... Build data integrations supporting analytics, reporting, machine learning, and operational use ...

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 ...

Senior Network Engineer

Naples, FL · On-site

$93K - $128K/yr

The Network Engineer is in charge of designing more efficient computer network alternatives, as ... and client machines. This position will require travel. Primary Responsibilities (Essential ...

Senior Network Engineer

Naples, FL · On-site

$93K - $128K/yr

The Network Engineer is in charge of designing more efficient computer network alternatives, as ... and client machines. This position will require travel. Primary Responsibilities (Essential ...

... machines that are already installed for their performance and safety ... Maintains reports of and hands them to the senior and concerned employees of the company * May have ...

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 ...

Bachelor's degree required, preferably in an Engineering or Science discipline * 15 years related ... Experience driving system improvements and transformation initiatives Machine, Tools, and/or ...

next page

Showing results 1-20

Senior Machine Learning Engineer information

See Naples, FL salary details

$56K

$119.2K

$172.8K

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

As of Sep 2, 2026, the average yearly pay for senior machine learning engineer in Naples, FL is $119,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,200.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

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

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

Infographic showing various Senior Machine Learning Engineer job openings in Naples, FL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,194 per year, or $57.3 per hour.

$130K/yr

Full-time

Posted 14 days ago


Hertz rating

6.3

Company rating: 6.3 out of 10

Based on 197 frontline employees who took The Breakroom Quiz

140th of 176 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

What Hertz employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom