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Remote Internship Machine Learning Engineer Jobs in Florida

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 ...

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Remote Internship Machine Learning Engineer information

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

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What job categories do people searching Remote Internship Machine Learning Engineer jobs in Florida look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Internship Machine Learning Engineer jobs? Cities in Florida with the most Remote Internship Machine Learning Engineer job openings:
Cloud Engineer - Azure

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Posted 6 days ago


Lee Health rating

6.9

Company rating: 6.9 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

452nd of 870 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