ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Tampa, FL (NOW HIRING)

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 ...

Breakthru

Manager, Talent & People Analytics

Tampa, FL · On-site +1

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

Crowe LLP

Cyber AI Security Manager

Tampa, FL · On-site +1

$104K - $141K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

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 ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Maximus

Biostatician

Tampa, FL · On-site +1

$108K - $129K/yr

... machine learning, and emerging LLM/NLP capabilities, to enhance mission readiness and the well ... Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Ultimate Knowledge

AI Workflow Engineer

Tampa, FL · Remote

... blameless learning, and operational excellence. A self-starter's bias for action: you see an ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

Kobie Marketing

Senior Software Engineer

Saint Petersburg, FL · Remote

$125K - $165K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances ...

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

This is a remote position with occasional travel. Preference given to East Coast candidates. Key Responsibilities : * Design and maintain semantic data models, metrics layers, and certified datasets ...

previous page

Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Tampa, FL

Remote Machine Learning information

See Tampa, FL salary details

$24.1K

$40.2K

$83.2K

How much do remote machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote machine learning in Tampa, FL is $40,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Tampa, FL?

The most popular types of Machine Learning jobs in Tampa, FL are:

What are popular job titles related to Remote Machine Learning jobs in Tampa, FL?

For Remote Machine Learning jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Tampa, FL look for?

The top searched job categories for Remote Machine Learning jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Remote Machine Learning jobs?

Cities near Tampa, FL with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $40,242 per year, or $19.3 per hour.

Senior AI Project Manager (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

VetsEZ is seeking a Senior AI Project Manager to lead the successful delivery of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a production-ready AI-assisted search and summarization capability that enhances clinician access to Community Health Summary and Document (CHSD) data.

Working closely with Government stakeholders, clinical subject matter experts, solution architects, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will lead all aspects of project planning, execution, stakeholder engagement, risk management, and Agile delivery while ensuring alignment with Federal security, privacy, and AI governance requirements.

Responsibilities:

  • Lead planning, execution, and delivery of enterprise AI software development projects supporting VA healthcare initiatives.
  • Develop and manage integrated project schedules, milestones, deliverables, resource plans, and roadmaps, including clinical validation, governance, security, and approval dependencies.
  • Manage project scope, risks, issues, assumptions, dependencies, and change requests, including decisions requiring Government approval.
  • Ensure project execution aligns with contractual requirements, business priorities, and delivery objectives.
  • Provide leadership that promotes collaboration, accountability, and continuous improvement across multidisciplinary teams.
  • Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs).
  • Coordinate activities between Government stakeholders, clinicians, architects, engineers, cybersecurity teams, privacy and AI governance stakeholders, and product owners.
  • Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions.
  • Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security, privacy, and clinical validation activities.
  • Ensure AI capabilities align with clinical workflows, business objectives, and approved MVP scope, with measurable acceptance criteria for quality, source traceability, clinical relevance, latency, and clinician feedback.
  • Provide delivery oversight across Agile teams, ensuring sprint plans, dependencies, milestones, and release objectives align with the project roadmap.
  • Partner with Product Owners and Scrum Masters to support Agile planning, refinement, reviews, and retrospectives.
  • Monitor sprint progress, delivery metrics, and release readiness.
  • Coordinate resolution of cross-team impediments requiring Government, security, governance, clinical, or architectural decisions.
  • Coordinate test-environment readiness, clinical evaluation, and future transition planning with Government stakeholders.
  • Monitor project risks, technical dependencies, and schedule impacts while developing mitigation strategies.
  • Coordinate activities supporting Federal cybersecurity, privacy, AI governance, clinical validation, and Authority to Operate (ATO) planning.
  • Ensure compliance with applicable VA Software Development Lifecycle (SDLC), security, and operational requirements.
  • Support project reporting, audit readiness, governance readiness, and executive decision-making through accurate documentation and status reporting.
  • Prepare executive briefings, project status reports, dashboards, and milestone updates.
  • Present project progress, risks, dependencies, and recommendations to executive leadership and Government customers.
  • Communicate complex technical concepts effectively to both technical and non-technical audiences.
  • Foster strong customer relationships through proactive communication and collaboration.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or a related field, or equivalent experience.
  • 10+ years leading enterprise software development projects.
  • 5+ years managing Agile software development teams delivering cloud-based applications.
  • Demonstrated experience leading Artificial Intelligence, Machine Learning, or Generative AI capabilities through development, evaluation, and formal approval.
  • Experience delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.
  • Experience leading cross-functional teams in regulated healthcare or Federal environments.
  • Agile Software Development (Scrum/Kanban)
  • Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivery lifecycles
  • Amazon Bedrock and AWS AI services
  • Prompt engineering, source grounding, hallucination testing, human validation, and AI evaluation methodologies
  • Cloud architecture and DevSecOps practices
  • REST APIs and enterprise system integration
  • Healthcare interoperability standards (FHIR, HL7, CCD)
  • Risk management and software delivery lifecycle

Additional Qualifications:

  • Strong leadership, organizational, and project management skills.
  • Excellent communication and presentation skills with experience briefing executive leadership and Government stakeholders.
  • Experience coordinating multidisciplinary engineering, cybersecurity, infrastructure, and clinical teams.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Ability to manage multiple priorities in a fast-paced Agile environment.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Project Management Professional (PMP), PMI-ACP, Certified Scrum Master (CSM), or SAFe certification.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience delivering AI-enabled clinical workflow, search, summarization, or clinician-support capabilities requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Cloud, AI, or Machine Learning certifications are highly desirable.

Security Clearance Requirements

  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits:

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

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.

Employment Type: FULL_TIME

Apply