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Manager Remote Machine Learning Engineer Jobs in Cape Coral, FL

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 ...

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 ...

Senior Data Engineer ID75059

Port Charlotte, FL · On-site +1

$87K - $118K/yr

... Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high ... machine learning initiatives and advanced analytics; - Act as a technical consultant for ...

Frontend Software Engineer

Fort Myers, FL · On-site +1

$85K - $110K/yr

This position is fully remote and requires you to reside in the U.S. Responsibilities * Coordinate ... Experience with Redux or other state management libraries for React Native. * Understanding of REST ...

Frontend Software Engineer

Fort Myers, FL · On-site +1

$85K - $110K/yr

This position is fully remote and requires you to reside in the U.S. Responsibilities * Coordinate ... Experience with Redux or other state management libraries for React Native. * Understanding of REST ...

Be Seen First

Proficiency in using learning management systems (LMS) and online teaching tools. * Prior ... Ability to work independently and manage multiple students in a remote setting. * Passionate about ...

Lead AppSec Engineer

Fort Myers, FL · On-site +1

$54.75 - $73.25/hr

Own day-to-day life cycle management, including identification, threat assessment ... Desire for life-long learning and continuous personal/professional development Don't meet every ...

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 ... WebEx Contact Center Management: * Oversee day-to-day operations of the WebEx Contact Center to ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Professional Engineering (PE) license in Florida, or the ability to obtain or transfer license ...

Senior Data Engineer ID71671

Port Charlotte, FL · On-site +1

$87K - $118K/yr

Solid, hands-on experience building, managing, and optimizing data architectures within Snowflake ... learning budget - Competitive compensation : get recognition that reflects your skills and impact ...

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Manager Remote Machine Learning Engineer information

See Cape Coral, FL salary details

$27.9K

$62.7K

$105.5K

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

As of Aug 18, 2026, the average yearly pay for manager remote machine learning engineer in Cape Coral, FL is $62,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $68,100.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Cape Coral, FL?

The most popular types of Remote Machine Learning Engineer jobs in Cape Coral, FL are:

What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Cape Coral, FL?

For Manager Remote Machine Learning Engineer jobs in Cape Coral, FL, the most frequently searched job titles are:

What job categories do people searching Manager Remote Machine Learning Engineer jobs in Cape Coral, FL look for?

The top searched job categories for Manager Remote Machine Learning Engineer jobs in Cape Coral, FL are:

What cities near Cape Coral, FL are hiring for Manager Remote Machine Learning Engineer jobs?

Cities near Cape Coral, FL with the most Manager Remote Machine Learning Engineer job openings:

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Re-posted 17 days ago


Lee Health rating

7.0

Company rating: 7.0 out of 10

Based on 198 frontline employees who took The Breakroom Quiz

414th of 888 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