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

Bond-Pro Inc

Senior Software Engineer (Remote)

Tampa, FL · Remote

$125K - $165K/yr

This is not a developer from a particular tech stack, but rather a true software engineer who can ... Experience with Machine Learning, NLP or AI applied experience integrating AI/ML components into ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Experience with Full-stack application development * Experience with Palantir tools, such as ...

Raft Company Website

Senior Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Prior experience working with Machine Learning Engineers or AI Systems * Python experience is a ... Remote, hybrid, and flexible work options * Team off-site in fun places! * Generous Referral ...

Bond-Pro

Senior Software Engineer

Tampa, FL · On-site +1

$115K - $152K/yr

This is not a developer from a particular tech stack, but rather a true software engineer who can ... Experience with Machine Learning, NLP or AI - applied experience integrating AI/ML components into ...

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

Requirements * 5+ years in robotics, reinforcement learning, simulation, or applied machine ... Strong Python and the deep learning stack, such as PyTorch or JAX, with the ability to build and ...

Varsity Tutors

Web Development Tutor

Tampa, FL · Remote

$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.

Bond-Pro Inc

Senior Software Engineer

Tampa, FL · On-site +1

$115K - $152K/yr

This is not a developer from a particular tech stack, but rather a true software engineer who can ... Experience with Machine Learning, NLP or AI - applied experience integrating AI/ML components into ...

Varsity Tutors

JavaScript Tutor

Tampa, FL · Remote

$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 ...

Varsity Tutors

Supabase Tutor

Tampa, FL · Remote

$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 ...

RevStar

Software Development Lead

Tampa, FL · Remote

... full-stack architect who loves writing production-grade code, mentoring engineers, and setting ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

RevStar

Software Development Lead

Tampa, FL · On-site +1

... full-stack architect who loves writing production-grade code, mentoring engineers, and setting ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

RevStar

Software Development Lead

Tampa, FL · Remote

... full-stack architect who loves writing production-grade code, mentoring engineers, and setting ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

Cisco

Senior Software Engineer (Remote)

Tampa, FL · Remote

$115K - $152K/yr

Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ... The full salary range for certain locations is listed below. For locations not listed below, the ...

USAA

Data Scientist (Mid-Level)

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... programming to build analytical modeling solutions using statistical and machine learning ...

New

USAA

Data Scientist (Mid-Level)

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... programming to build analytical modeling solutions using statistical and machine learning ...

New

USAA Careers

Data Scientist (Mid-Level)

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... programming to build analytical modeling solutions using statistical and machine learning ...

New

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Showing results 21-40

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 Sep 10, 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 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.

Senior Software Engineer (Remote)

Tampa, FL • Remote

Bond-Pro Inc
Software Development • 1 - 10 employees
Learn more about Bond-Pro Incexternal

$125K - $165K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

SENIOR SOFTWARE ENGINEER


Overview 

We're looking for a Senior Software Engineer who can operate independently within an Agile team, take ambiguous requirements from concept to production, and bring architectural judgment to how we structure and process data at scale. This is not a developer from a particular tech stack, but rather a true software engineer who can and will work with any number of languages without restriction. 

We are only accepting candidates currently residing in the state of Florida, Georgia or Texas at this time.


Responsibilities 

  • Work within a Scrum/Agile team through the full sprint cycle backlog refinement, sprint planning, capacity estimation, daily standups, sprint review, and retrospectives. 
  • Participate in requirement refinement sessions with product owners and stakeholders, turning ambiguous asks into well-scoped, estimable stories. 
  • Apply modern software design patterns and enforce separation of concerns across the codebase, ensuring components remain loosely coupled and independently testable. 
  • Design and build proofs of concept (POCs) to validate new approaches before committing to full implementation. 
  • Integrate AI/ML and/or NLP components into production systems. 
  • Design and implement systems that handle structured (CSV, relational), semi-structured (JSON), unstructured, and schema-bound formats like Avro, including the tradeoffs between them for storage, processing and schema evolution. 
  • Contribute to big data architecture and design patterns batch and/or streaming pipelines, data partitioning, and scalable processing approaches. 
  • Collaborate with UI/UX on interface design decisions, ensuring frontend implementation aligns with usability and design intent. 
  • Mentor junior developers through code review, pairing, and design discussions. 

Required Qualifications 

  • Proven experience working in Scrum/Agile teams, including sprint planning, capacity estimation, and iterative delivery. 
  • Strong grasp of modern design patterns (e.g., strategy, factory, repository, observer) and the "separation of concerns" principle able to explain not just what it is, but why it matters for maintainability and testability. 
  • Experience with UI/UX collaboration and requirement refinement. 
  • Hands-on experience with structured, semi-structured, unstructured, and schema-based data formats (CSV, JSON, Avro). 
  • Big data technology experience (e.g., Spark, Kafka, Hadoop ecosystem or equivalent) and associated design patterns. 
  • Demonstrated experience building and validating POCs. 
  • Experience designing and building microservices architectures service decomposition, inter-service communication (REST/gRPC/event-driven messaging), API contracts and independent deployability. 
  • Strong understanding of data layer and persistence design patterns repository pattern, unit of work, CQRS, data access layer abstraction, ORM vs. raw query tradeoffs, caching strategies and both relational (SQL) and NoSQL database design. 
  • Experience with cloud platforms AWS, Azure or Google Cloud Platform (GCP) including core compute, storage, and managed data services on at least one major provider. 
  • Experience with Machine Learning, NLP or AI applied experience integrating AI/ML components into production systems. 

Desirable 

  • Proficiency in one or more modern languages beyond your primary stack Python, Scala, Go, Java, Kotlin, Rust, TypeScript/Node.js or C# with the versatility to pick up new languages as project needs evolve. 
  • Multi-cloud exposure across AWS, Azure, and GCP, and familiarity with cloud-native patterns (containers, Kubernetes, serverless, managed data/streaming services).