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

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 ...

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 ...

Marmon

Component Cell Machine Operator

Naples, FL

$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 ...

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 Jul 30, 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants 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 AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 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 July 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.

Lead ML Ops Engineer

Cliftonlarsonallen

Naples, FL

$96K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

CliftonLarsonAllen rating

7.3

Company rating: 7.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants

Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. 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 you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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