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

USAA

Director, Data Scientist

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning ...

New

USAA

Director, Data Scientist

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning ...

New

USAA Careers

Director, Data Scientist

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning ...

New

Booz Allen Hamilton, Inc.

Data Scientist. Mid

Tampa, FL · On-site +1

$77K - $176K/yr

... oriented programming languages and visualization software * Knowledge of Machine Learning ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Varsity Tutors

Data Science Tutor

Tampa, FL · Remote

$40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Skilled at teaching the full data science workflow from question formulation through insight ...

Varsity Tutors

HTML Tutor

Tampa, FL · Remote

$40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Shield

Learning & Development Lead

Tampa, FL · On-site +1

$120K - $140K/yr

Shield Technology Partners - Remote Compensation: $120,000 - $140,000 / year Description The ... Success in this role is measured across the full learning value chain - engagement, effectiveness ...

VetsEZ

Database Engineer (Remote Opportunity)

Tampa, FL · On-site +1

We are currently looking for a Database Engineer for a 100% remote position on a large federal ... Knowledge of advanced PostgreSQL features, including JSON, full-text search, PostGIS, WAL archiving ...

VetsEZ

Database Engineer (Remote Opportunity)

Tampa, FL · On-site +1

We are currently looking for a Database Engineer for a 100% remote position on a large federal ... Knowledge of advanced PostgreSQL features, including JSON, full-text search, PostGIS, WAL archiving ...

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Govcio LLC

Sr. Systems Engineer- Hybrid Remote

Tampa, FL · On-site +1

$95K - $130K/yr

... stacks, and Virtual Training Environment (VTE) platforms deployed across CONUS and OCONUS ... Provide advanced engineering and architecture ownership across the following specialization:

ClearlyAgile

DevOps Engineer

Tampa, FL · Remote

$49.75 - $68.25/hr

Analyze the company's current technology stack and develop strategy to continuously improve ... This is a remote role, candidates must be located in the US * Candidates must be authorized to work ...

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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.

Microsoft Platforms Developer

Tampa, FL • On-site, Remote

Competitive Range Solutions, LLC
11 - 50 employees
Learn more about Competitive Range Solutions, LLCexternal

Full-time

Posted 9 days ago

Job description

**Active Secret (minimum); Top Secret/SCI eligibility desired**
Program Overview
CRS is seeking a Microsoft Platforms Developer to support execution of a Blanket Purchase Agreement (BPA) delivering Enterprise Knowledge Management (EKM) services to a U.S. Combatant Command headquartered at MacDill Air Force Base in Tampa, Florida. The BPA supports the Command Headquarters, its Component Commands, and its Theater Special Operations Commands (TSOCs), spanning multiple CONUS and OCONUS locations across a broad Area of Responsibility (AOR) and operating across unclassified and classified networks.
This position executes development work across knowledge management systems design, development, and operations - custom web applications, APIs and stateless services, front-end development, database work, CI/CD, and quality assurance - and supports low-code application development.
Position Summary
The Microsoft Platforms Developer shall analyze requirements and design, code, test, debug, and document full-stack web applications using C#, .Net, Angular, React, SQL, and related data services in the internal KM technology stack, in accordance with industry best practice.
The individual shall build accessible, responsive interfaces using component-based patterns and modern design standards, deliver low-code solutions on Power Apps and Power Automate where appropriate, and support the pipelines, testing, and documentation that make releases repeatable and auditable.
Key Responsibilities
  • Analyze requirements and design, code, test, debug, and document full-stack web applications using C#, .Net, Angular, React, and SQL, aligned to the Command's current KM technology stack.
  • Build integration adapters and stateless REST or GraphQL services that follow program standards for versioning, authentication, error handling, and schema documentation.
  • Develop against CI/CD pipelines with automated build, test, and deployment, using gated pull requests, environment promotion, and documented change control.
  • Create accessible, responsive user interfaces using component-based patterns, enterprise UI and UX standards, and the program's reusable design system and component libraries.
  • Ensure accessibility conformance for all front-end work and provide evidence of compliance under Department of War accessibility guidance and Trusted Tester practices.
  • Design, develop, and deploy low-code/no-code solutions using Power Apps and Power Automate to automate business processes and improve organizational efficiency.
  • Implement structured data work including schema changes, indexing, stored procedures, data access layers, and ETL/ELT processes supporting enterprise applications.
  • Conduct structured functional and non-functional testing using repeatable scripts and documented test cases covering unit, integration, end-to-end, performance, and security scenarios.
  • Support security testing against OWASP controls and DISA STIGs where applicable, and document test results, defects, remediation actions, and retest outcomes.
  • Apply KM content governance in application features and documentation - taxonomy, metadata, naming conventions, version control, and content lifecycle standards.
  • Instrument telemetry, logs, and alerts to monitor usage, reliability, and performance, and support continuous improvement based on user engagement and accessibility needs.
  • Produce developer documentation, runbooks, and API references recording configuration decisions, dependencies, and integration steps to support onboarding and sustainment.
Required Qualifications
The following qualifications are mandatory for this position:
  • Shall be a U.S. citizen and shall possess an active Secret clearance, with the ability to obtain and maintain a Top Secret clearance with SCI eligibility.
  • Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or an equivalent combination of education and directly relevant experience.
  • A minimum of four (4) years of professional software development experience, including hands-on delivery with C# and .Net and a modern JavaScript framework (Angular or React).
  • Working experience building and consuming REST APIs and writing SQL against relational databases.
  • Experience developing within a source-controlled CI/CD workflow, including pull request review and automated testing.
  • Demonstrated attention to accessibility and secure coding practices in delivered work.
Desired Qualifications
The following qualifications are strongly desired and will be viewed favorably:
  • Active Top Secret clearance with SCI eligibility.
  • Experience delivering software on Department of War networks under Risk Management Framework constraints.
  • Experience building solutions on Power Apps and Power Automate.
  • Trusted Tester certification or Section 508 accessibility testing experience.
  • DoD 8570/8140 IAT Level II certification (e.g., Security+ CE).
  • Microsoft certifications (e.g., AZ-204, PL-400).
  • Experience with automated testing frameworks and static application security testing tooling.
  • Agile or Scrum experience delivering in sprints with Government stakeholders.
Attributes of a Successful Candidate
  • Ships working software and finishes the unglamorous last ten percent - tests, documentation, accessibility.
  • Takes code review as a way to get better rather than a verdict to defend against.
  • Asks what the user is actually trying to accomplish before building what was requested.
  • Reliable on commitments inside a sprint cadence.
  • Comfortable working across unclassified and classified networks and adapting to the security constraints each environment imposes.

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