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Remote Full Stack Machine Learning Engineer Jobs in New Port Richey, FL

Java Full Stack Engineer

Tampa, FL ยท Remote

$47.75 - $61.75/hr

Java Full Stack Engineer Location Remote Duration 6+ Months Must have LinkedIn profile with Photo Notes: SAFe environment Must GitLab -Must Years of experience with SAFe scaled agile environment ...

Machine Learning Tutor

Tampa, FL ยท Remote

$18 - $40/hr

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

Join our remote-first culture as the Lead Software Engineer , a critical, hands-on role where you ... Extensive experience with the Microsoft technology stack, including full-stack development using ...

Web Development Tutor

Tampa, FL ยท Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Account Executive - Splunk (Florida)

Tampa, FL ยท Remote

$198K - $333K/yr

... full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

Account Executive - Splunk (Florida)

Tampa, FL ยท On-site +1

$198K - $333K/yr

... full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

JavaScript Tutor

Tampa, FL ยท Remote

$18 - $40/hr

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Data Platform Engineer

Tampa, FL ยท On-site +1

$108K - $129K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Tampa, FL ยท Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Supabase Tutor

Tampa, FL ยท Remote

$18 - $40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

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Showing results 1-20

Remote Full Stack Machine Learning Engineer information

See New Port Richey, FL salary details

$39.6K

$120K

$169.7K

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

As of Jul 28, 2026, the average yearly pay for remote full stack machine learning engineer in New Port Richey, FL is $120,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $140,700.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in New Port Richey, FL look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in New Port Richey, FL are:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in New Port Richey, FL as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,039 per year, or $57.7 per hour.
Senior Full Stack Software Engineer (Remote Opportunity)

Senior Full Stack Software Engineer (Remote Opportunity)

VetsEZ

Tampa, FL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

We are currently looking for a Senior Full Stack Software Engineer for a 100% remote position on a large federal government project. In this role, you will support the design, development, and delivery of secure, scalable, and mission-critical healthcare applications that support federal modernization initiatives. You will work within a collaborative Agile environment alongside software engineers, architects, business analysts, QA engineers, DevOps professionals, and product teams while leveraging modern technologies including Java, Spring Boot, Node.js/TypeScript, React, AWS, and AI-enabled solutions.
The candidate must reside within the continental US.
Responsibilities
  • Design, develop, and maintain scalable full-stack applications using Java, Java EE, Java 17, Spring Boot, Node.js/TypeScript, and React or Angular.
  • Architect and implement secure, cloud-native, event-driven microservices and RESTful APIs utilizing AWS services including Aurora PostgreSQL, ECS, SQS, and S3.
  • Develop AI-enabled solutions by integrating Large Language Models (LLMs) and AI APIs into enterprise healthcare applications while evaluating emerging AI technologies and best practices.
  • Build reliable backend services, optimize database performance, and ensure application scalability, security, and maintainability through sound engineering principles.
  • Implement automated testing, CI/CD pipelines, containerization, and DevOps best practices to deliver high-quality software in a regulated environment.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions while supporting Agile development processes and maintaining technical documentation.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
  • Minimum of six (10) years of professional software engineering experience.
  • Proven experience as a Full Stack Software Engineer with technical leadership responsibilities.
  • Experience designing and developing distributed, cloud-native applications using modern software architecture principles.
  • Experience integrating AI or Large Language Model (LLM) capabilities into enterprise applications.
  • Experience working within Agile software development environments.
  • Strong proficiency with Java, Java EE, Java 17, and Spring Framework.
  • Experience developing applications using Node.js, TypeScript, React, or Angular.
  • Experience building RESTful APIs, microservices, and distributed systems.
  • Hands-on experience with AWS cloud services, including Aurora PostgreSQL, ECS, SQS, and S3.
  • Experience with SQL, PostgreSQL, automated testing, CI/CD pipelines, Docker, and Kubernetes.
  • Knowledge of secure software development practices and modern DevOps methodologies.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong verbal and written communication skills.
  • Ability to mentor software engineers and provide technical leadership.
  • Ability to collaborate effectively with cross-functional teams in a remote environment.
  • Strong organizational skills with exceptional attention to detail.
Additional Qualifications
  • Experience supporting Department of Veterans Affairs (VA) programs or other federal government agencies.
  • Familiarity with healthcare interoperability standards such as FHIR and HL7.
  • Experience working within regulated healthcare environments.
  • Experience with intelligent automation, AI orchestration frameworks, or agent-based systems.
  • Professional certifications in AWS, Java, Agile, or related technologies are preferred.
  • Ability to obtain a U.S. Government Public Trust or other required security clearance.
Benefits
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) plus Federal Holidays.
  • Corporate Laptop.
  • Training and Professional Development Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.