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Remote Machine Learning Jobs in Florida (NOW HIRING)

Cloud Engineer

Fort Myers, FL · On-site +1

$78.46K - $101.98K/yr

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

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop machine learning and generative AI models that ship as customer-facing product features

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

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Showing results 1-20

Remote Machine Learning information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do remote machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning jobs in Florida are:
What are popular job titles related to Remote Machine Learning jobs in Florida? For Remote Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Florida look for? The top searched job categories for Remote Machine Learning jobs in Florida are:
What cities in Florida are hiring for Remote Machine Learning jobs? Cities in Florida with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Florida as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 53% Full Time, 43% Part Time, 1% Temporary, and 1% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Cloud Engineer

Cloud Engineer

Lee Health

Fort Myers, FL • On-site, Remote

$78.46K - $101.98K/yr

Full-time

Posted 28 days ago


Lee Health rating

6.8

Company rating: 6.8 out of 10

Based on 188 frontline employees who took The Breakroom Quiz

488th of 864 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, you'll architect and manage cloud infrastructure across private, public, and hybrid environments-enabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, you'll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.
If you're passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.
What You'll 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:
  • Bachelor's degree in Computer Science, Engineering, or related field required.
  • Master's 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, you'll 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


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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