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

Cliftonlarsonallen

Senior AI Engineer

Naples, FL · On-site

$98K - $135K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

CliftonLarsonAllen

Lead ML Ops engineer

Naples, FL

$96K - $127K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Cliftonlarsonallen

Lead ML Ops Engineer

Naples, FL · On-site

$96K - $127K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

ARTHREX

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $123K/yr

Computer Vision Engineer Sr I Arthrex, Inc. is a global medical device company and a leader in new ... with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep ...

Marmon

Braiding Machine Operator

Naples, FL · On-site

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

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

Tape Wrap Operator

Naples, FL

We're committed to making a positive impact on the world, providing you with diverse learning and ... Perform machine set up Meet all customer, in house, UL, CSA and mil specifications Process orders ...

Marmon Holdings, Inc.

Tape Wrap Operator

Naples, FL · On-site

We're committed to making a positive impact on the world, providing you with diverse learning and ... ESSENTIAL DUTIES AND RESPONSIBILITIES: • Perform machine set up • Meet all customer, in house ...

Arthrex

Engineer Sr I, Patient Specific Devices

Naples, FL · On-site

$98K - $135K/yr

Engineer Sr I, Patient Specific Devices Main Objective: Responsible for full life cycle development of medical devices, which includes initiation, design, development, execution, and product ...

ReachMobi

Software Engineer

Bonita Springs, FL · On-site

What You Do We're looking for experienced Software Engineers to help us build high-quality applications used by millions. * Develop and maintain high-volume, high-availability analytical systems and ...

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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 Jun 12, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 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

AI Platform Engineer

Advanced Access Staff, Inc

Naples, FL

$140K - $250K/yr

Other

Posted 26 days ago

Job description

Job Posting

Build and scale the infrastructure that powers AI at enterprise scale. Design robust, automated systems that enable data scientists and ML engineers to deploy, monitor, and maintain machine learning models in production environments.

Key Responsibilities:

  • Design and implement MLOps pipelines for model training, deployment, and monitoring
  • Build automated CI/CD systems for machine learning model lifecycle management
  • Develop infrastructure for real-time and batch ML inference at scale
  • Implement model monitoring, drift detection, and automated retraining systems
  • Design data pipelines and feature stores for ML model development and serving
  • Collaborate with data science teams to productionize research models
  • Optimize ML infrastructure for performance, cost, and reliability
  • Implement security and compliance controls for ML systems and data

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 4+ years experience in DevOps/Infrastructure with 2+ years focused on ML systems
  • Proficiency in container technologies (Docker, Kubernetes) and cloud platforms
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools
  • Strong programming skills in Python, with knowledge of infrastructure-as-code
  • Experience with data pipeline tools (Airflow, Kafka, Spark) and databases
  • Understanding of ML model serving frameworks and API development
  • Knowledge of monitoring tools and observability practices for ML systems

Benefits Compensation Range: $140,000 - $250,000+ plus equity

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