ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Fort Myers, FL

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Masters degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering ...

Lindsay & Brownell

AI Solution Architect

Fort Myers, FL · On-site +1

$58.75 - $77.50/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

Eisneramper Llp

AI Solution Architect

Fort Myers, FL · On-site +1

$58.75 - $77.50/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

Chico's FAS

Analytics Specialist

Fort Myers, FL · On-site +1

... and machine learning personalization. FUNCTIONAL RESPONSIBILITIES: • Assists in the design ... Engineering, Computer Science, Information Technology required • 3+ years demonstrated ...

Lee Health

Sr WebEx Contact Center Engineer

Fort Myers, FL · On-site +1

$50.37 - $65.48/hr

Remote - FL Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8:00:00 ... As a WebEx Contact Center Senior Engineer at Lee Health, you will play a crucial role in managing ...

ReachMobi

Senior Software Engineer - HYBRID

Bonita Springs, FL · On-site +1

$115K - $152K/yr

About ReachMobi An industry-leading mobile app developer, ReachMobi works tirelessly to connect users to a mobile experience that is completely tailored around the end-user. How You'll Make an Impact

ReachMobi

Engineering Lead - HYBRID

Bonita Springs, FL · On-site +1

$96K - $127K/yr

Engineering Excellence & .NET Best Practices * Set high coding standards using C#, .NET, and modern software engineering principles to build scalable, maintainable applications. * Optimize ...

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Fort Myers, FL

Remote Machine Learning Engineer information

See Fort Myers, FL salary details

$29.4K

$120.2K

$180.6K

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

As of Jul 16, 2026, the average yearly pay for remote machine learning engineer in Fort Myers, FL is $120,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $144,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are popular job titles related to Remote Machine Learning Engineer jobs in Fort Myers, FL? For Remote Machine Learning Engineer jobs in Fort Myers, FL, the most frequently searched job titles are:
What cities near Fort Myers, FL are hiring for Remote Machine Learning Engineer jobs? Cities near Fort Myers, FL with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Cloud Engineer - Azure

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Re-posted 14 days ago

Lee Health rating

6.9

Company rating: 6.9 out of 10

Based on 194 frontline employees who took The Breakroom Quiz

449th of 886 rated healthcare providers

Job description

Location: Remote - Florida

Department: IS Information Technology Svcs

Work Type: Full Time

Shift: Shift 1/8:00:00 AM to 4:30:00 PM

Minimum to Midpoint Pay Rate:$78,457.60 - 101,982.40 / Annual

Summary

Lee Health is seeking an innovative Cloud Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that power our digital and AI transformation. In this role, youll architect and manage cloud infrastructure across private, public, and hybrid environmentsenabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, youll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.

If youre passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.

What Youll Do

  • Design & Build: Develop scalable, secure, and cost-effective cloud architectures using AWS, Azure, or GCP.

  • Migrate & Modernize: Lead cloud migration projects for data, systems, and applications while ensuring minimal disruption.

  • Automate & Optimize: Implement Infrastructure-as-Code (IaC), automate deployment pipelines, and streamline configuration management.

  • Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML experimentation and production deployment.

  • Ensure Compliance & Security: Maintain adherence to data privacy standards, IAM, encryption, and regulatory compliance (HIPAA, HITRUST).

  • Monitor & Improve: Oversee cloud utilization, troubleshoot performance issues, and develop disaster recovery strategies.

  • Collaborate & Lead: Act as a bridge between development and infrastructure teams, fostering a DevSecOps culture and continuous improvement mindset.

Qualifications

Education:

  • Bachelors degree in Computer Science, Engineering, or related field required.

  • Masters degree in Computer Science, Machine Learning, or related discipline preferred.

Experience:

  • 2+ years designing, building, and supporting private or hybrid cloud environments.

  • Proven experience with DevOps and automation (IaC, CI/CD, scripting in PowerShell, Python, or Shell).

  • Strong grasp of cloud security, IAM, networking, and monitoring tools.

  • Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.

  • Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.

  • Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred.

Certifications (one or more required):

  • Microsoft Certified Azure AI Fundamentals or AI Engineer Associate

  • AWS Certified Machine Learning Engineer

  • Microsoft Azure Security Certification

Preferred Certifications:

  • HITRUST Practitioner, NIST AI RMF Architect, or Artificial Intelligence Engineer Certification

Why Join Lee Health

At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data-driven healthcare, youll have the opportunity to work with emerging technologies, contribute to transformative AI initiatives, and make a lasting impact on patient care. Join a health system recognized for excellence, collaboration, and continuous learning.

What Lee Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lee Health logo

About Lee Health

Sourced by ZipRecruiter

Lee Health is one of the largest public health systems in the U.S. and one of the largest not-for-profit public health systems in Florida. With 4 acute care hospitals; Lee Memorial, Healthpark Medical Center, Cape Coral Hospital and Gulf Coast Medical Center, two specialty hospitals; Gaisano Children's Hospital and The Rehab Hospital. Lee Physician Group with over 80 practices throughout Southwest Florida, a Regional Cancer Center, seven outpatient centers, three walk-in clinics and two pediatric outpatient facilities. HEALTHGRADES ranks Lee Healths four acute care hospitals in the top 5% in the nation for overall clinical excellence in 2019, 2020, 2021 AND 2022 and is included in America's 250 Best Hospitals

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Fort Myers, FL, US

Year founded

1916

View All Lee Health Jobs

Apply