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

Worth AI

Engineering Manager

Tampa, FL · Remote

Technology Stack * Languages & Runtimes: Node.js, TypeScript * Frameworks: Nest.js, React.js * Data ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Varsity Tutors

Python Tutor

Tampa, FL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Amgen

Sr Associate Data Analytics

Tampa, FL · On-site +1

$95K - $117K/yr

Proficiency in Artificial Intelligence/Machine Learning concepts and tools, with a foundational ... Programming skills in both compiled including C, C++ and interpreted languages including Python, R ...

New

FHR

MO3-613-Senior Azure Cloud Engineer 11694-1

Tampa, FL · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... our tech stack to enable rapid implementation efforts while maintaining support of existing ...

Suncoast Credit Union Careers

Platform Engineer

Tampa, FL · On-site +1

$110K - $150K/yr

Remote, candidate must reside in one of several remote hire location The Platform Engineer plays a ... Oversee the deployment and configuration of Kubernetes clusters, virtual machines, and ...

Worklio

Product Manager (U.S. Payroll - Remote)

Tampa, FL · Remote

$115K - $145K/yr

Languages/Stack: C#, REST APIs, .NET 6+ * Frameworks: Vue.js * Dev Tools: Azure DevOps, Visual Studio, Git, Azure Portal * Design/Docs: Figma, MS Project, FeatureBase What We Offer * Full remote work ...

Suncoast Credit Union

Platform Engineer

Tampa, FL · Remote

$110K - $150K/yr

Remote, candidate must reside in one of several remote hire location The Platform Engineer plays a ... Oversee the deployment and configuration of Kubernetes clusters, virtual machines, and ...

DGR Systems

Engineer - Identity Solutions

Tampa, FL · On-site +1

The ideal candidate will possess strong technical skills, a passion for learning, and a customer ... At a glance, DGR Systems was founded in 2009 in Tampa, Florida, and provides full-service solutions ...

Bond-Pro Inc

SQL Data Engineer (Remote)

Tampa, FL · Remote

This is a 100% remote position. Role Summary We are seeking a Database Developer/Administrator with ... full underwriting suite to evaluate and manage accounts as well as the tools to streamline and ...

Humana

Cyber Security Engineer

Tampa, FL · On-site +1

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Proven commitment to continuous learning and professional development through advanced technical ...

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Showing results 41-60

All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in New Port Richey, FL

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 Aug 19, 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 the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

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 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 popular job titles related to Remote Full Stack Machine Learning Engineer jobs in New Port Richey, FL?

For Remote Full Stack Machine Learning Engineer jobs in New Port Richey, FL, the most frequently searched job titles are:

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:

Remote Full Stack Machine Learning Engineer jobs near you
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,039 per year, or $57.7 per hour.

Engineering Manager

Worth AI

Tampa, FL • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Worth is now looking looking for an Engineering Manager to lead a high-performing team of 4–8 engineers. This role is responsible for delivering meaningful product outcomes while building a healthy, accountable, and growth-oriented team culture.

You will balance execution, people leadership, and technical oversight. You are not expected to be the primary hands-on contributor, but you must maintain strong technical judgment and credibility. Your success will be measured by your team’s ability to ship reliably, grow professionally, and operate with clarity and ownership.

This role requires someone who can create structure without bureaucracy, hold a high bar without eroding psychological safety, and translate business priorities into focused engineering execution.

Responsibilities
  • Lead and manage a team of 4–8 engineers across one product area or domain.
  • Own team delivery outcomes, including roadmap execution, reliability, and quality.
  • Partner closely with Product and Design to translate business priorities into clear technical plans.
  • Drive cycle planning, estimation, and delivery accountability.
  • Remove blockers and resolve cross-team dependencies.
  • Ensure the team balances speed with long-term maintainability.
  • Maintain visibility into system health, performance, and risk areas.
  • Provide regular 1:1 coaching and actionable feedback to each team member.
  • Conduct performance reviews, career development planning, and growth conversations.
  • Hire, interview, and onboard new engineers as the team scales.
  • Create an environment of psychological safety while maintaining high standards.
  • Coach engineers on ownership, system design, and execution discipline.
  • Address performance issues early and constructively.
  • Escalate risks and communicate tradeoffs clearly to leadership.
  • Contribute to organizational process improvements and engineering culture initiatives.
Technology Stack
  • Languages & Runtimes: Node.js, TypeScript
  • Frameworks: Nest.js, React.js
  • Data & Messaging: PostgreSQL, Kafka, Redis, Redshift
  • Infrastructure & Orchestration: Kubernetes, ArgoCD, AWS
  • Monitoring: DataDog

Requirements

  • 7+ years of professional software engineering experience.
  • 2+ years of experience directly managing engineers.
  • Requires hands on keyboard at 50-80% of the time
  • Experience leading teams of at least 4 engineers.
  • Strong track record of delivering complex software projects on schedule.
  • Solid system design fundamentals and architectural judgment.
  • Experience partnering with Product and cross-functional stakeholders.
  • Demonstrated ability to mentor and grow engineers across multiple levels.
  • Ability to balance delivery pressure with long-term technical health.
  • Experience navigating ambiguity and setting clear direction.
  • Strong written and verbal communication skills.
  • High emotional intelligence and ability to manage conflict constructively.
Success Metrics
  • The team consistently delivers roadmap commitments with predictable velocity.
  • Engineering quality and reliability remain high under delivery pressure.
  • Engagement and retention within the team are strong.
  • Engineers demonstrate measurable growth in skill, ownership, and autonomy.
  • Production incidents are handled effectively with strong post-incident learning.
  • Cross-functional stakeholders trust the team’s commitments and execution.
Bonus Points (nice to haves, not requirements)
  • Experience scaling engineering teams in high-growth environments.
  • Experience managing distributed or remote-first teams.
  • Strong background in distributed systems or event-driven architecture.
  • Experience contributing to organizational-level engineering process improvements.
  • Prior experience managing through periods of technical transformation or re-architecture.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources