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Senior Machine Learning Engineer Jobs in Naples, FL

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 ...

Dishwasher Full Time

Naples, FL · On-site

$11.75 - $15/hr

... senior living communities across theUnited States. With a focus on operational excellence ... Wecontinually aspire and invest in learning and development opportunities thatsupport our team ...

... with senior engineers * Build and lead high-performing global engineering teams (onshore, nearshore, offshore) * Develop engineering talent; drive career paths, rotations, and learning plans

Siena Lakes by Erickson Senior Living Join us as a Program Assistant to enhance the well-being of ... In this role, you will work with the Programming team to tailor therapeutic and recreational ...

Showing results 21-40

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.

Senior Manager, Quality Systems

ARTHREX

Naples, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Arthrex rating

7.8

Company rating: 7.8 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

169th of 545 rated manufacturers


Job description

 Requisition ID:                       66359                         Title: Senior Manager, Quality Systems

Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. Arthrex is actively searching for a Senior Manager, Quality Management Systems for our global headquarters in Naples, Florida. The Senior Manager, Quality Management Systems is responsible for leading, maintaining, and continuously improving the Arthrex Quality Management System (QMS) to ensure compliance with global regulatory requirements including FDA 21 CFR Part 820, ISO 13485, and other applicable standards. This role drives quality system effectiveness across core processes such as CAPA, change management, audits, document control, and training, while supporting inspection readiness and enabling business growth. This position requires a strategic leader who can balance compliance with operational efficiency, foster cross-functional collaboration, and elevate quality systems as a proactive enabler of organizational excellence. Join our talented team at a global medical device company focused on Helping Surgeons Treat Their Patients Better.

Duties and Responsibilities:

Quality System Leadership

Lead and oversee the end-to-end QMS, ensuring compliance with FDA, ISO 13485, and global regulatory requirements

Establish and drive quality strategy, governance, and system performance metrics

Ensure alignment and scalability of quality systems across sites and functions

Core QMS Process Ownership

Provides oversight of critical quality system elements:

CAPA (Corrective and Preventive Actions)

Nonconformance (NCR) management

Document Management / Change control

Document and record control

Training and competency systems

Drive continuous improvement initiatives to enhance system effectiveness and reduce risk

Audit & Inspection Readiness

Lead and develop risk-based internal audit program and schedules

Ensure ongoing inspection readiness and lead FDA, notified body, and other regulatory inspections

Partner with site leadership to address audit findings and drive sustainable corrective actions

Compliance & Risk Management

Implement risk-based approaches to quality system monitoring and decision-making

Ensure timely identification, escalation, and resolution of compliance gaps

Monitor regulatory changes and drive system updates accordingly

Metrics & Continuous Improvement

Establish and monitor KPIs for QMS effectiveness (e.g., CAPA cycle time, audit trends, training compliance)

Leverage data analytics to identify trends, systemic issues, and improvement opportunities

Coordinate and support all QMS Management Review activities.

People Leadership

Lead, develop, and mentor a team of quality professionals

Build a culture of ownership, accountability, and continuous improvement

Drive capability development in auditing, compliance, and quality system processes

Education and Experience:

  • Bachelor's degree required, preferably in an Engineering or Science discipline
  • 15 years related experience required in a medical device or similar regulated environment
  • 8 years of quality leadership experience required
  • Experience with global/multi-site quality systems
  • Experience supporting FDA or notified body inspections

Knowledge and Skill Requirements/Specialized Courses and/or Training:

  • Strong working knowledge of FDA QSMR, ISO 13485 and applicable international regulations.
  • Proven experience leading audits and regulatory inspections
  • Strong leadership and people development skills
  • Ability to influence cross-functional stakeholders at all levels
  • Strategic thinker with strong execution and problem-solving capabilities
  • Experience driving system improvements and transformation initiatives

Machine, Tools, and/or Equipment Skills:

Proficiency in the use of PC and programs, particularly Excel, Word (or equivalents if changed by the Company), PowerPoint, SAP or similar business software.

Reasoning Ability:

Ability to define problems, collect data, establish facts, and draw valid conclusions.  Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

Mathematical Skills

Ability to comprehend and apply mathematical principles to the degree required to perform the job based upon job requirements.

Language and Communication Skills:

Ability to comprehend and apply language skills to the degree required to perform the job based upon the job requirements listed above.  Ability to verbally communicate ideas and issues effectively to other team members and management.  Ability to write and record data and information as required by procedures.

Arthrex Benefits

  • Medical, Dental and Vision Insurance
  • Company-Provided Life Insurance
  • Voluntary Life Insurance
  • Flexible Spending Account (FSA)
  • Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness)
  • Matching 401(k) Retirement Plan
  • Annual Bonus
  • Wellness Incentive Program
  • Free Onsite Medical Clinics
  • Free Onsite Lunch
  • Tuition Reimbursement Program
  • Trip of a Lifetime
  • Paid Parental Leave
  • Paid Time Off
  • Volunteer PTO
  • Employee Assistance Provider (EAP)
  • Eligible for discretionary Long Term Incentive program

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law.


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