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Freelance Machine Learning Engineer Jobs in Port Richey, FL

PricewaterhouseCoopers LLP

NGA AI Engineer Manager

Tampa, FL · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

LTM

MLOpsEngineer

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

MLOps Engineer Location: Tampa, FL Seeking a candidate with a 5 to 7 years of experience in MLOps within the Blue verse ML Engineering domain to drive scalable and efficient machine learning ...

Real Careers

Senior Cybersecurity Engineer - Tampa

Tampa, FL · Hybrid

$108K - $148K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Senior Cybersecurity Engineer - Tampa Tampa, FL 33603 or Dallas, TX 75203 - Hybrid They offers a ... machine learning. RESPONSIBILITIES: * Responsible for providing 4th and 5th level support for ...

Accenture Federal Services

AI/ML Engineer

Tampa, FL · Hybrid

This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery. Key Responsibilities * Design ...

Pwc

US Tech - AI Engineering Manager

Tampa, FL · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Virtusa

Agentic AI developer

Tampa, FL

$114K - $154K/yr

Experience designing and deploying machine learning systems across training, inference, and monitoring * Strong understanding of system architecture, distributed systems, and data engineering ...

Deloitte

Cyber - SecOps - Consultant

Tampa, FL · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Agile Defense

Data Scientist

Tampa, FL

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

TalentBridgeX

Data Scientist

Tampa, FL · On-site

... and machine learning models (Random Forest, Gradient Boosting, XGBoost) * Develop inventory optimization algorithms (linear programming, mixed-integer optimization, supply chain simulation)

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... This role will design and build data pipelines, deploy machine learning solutions, and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Port Richey, FL

Freelance Machine Learning Engineer information

See Port Richey, FL salary details

$13

$42

$117

How much do freelance machine learning engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance machine learning engineer in Port Richey, FL is $42.29, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $54.76 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What are the key skills and qualifications needed to thrive as a freelance machine learning engineer?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are popular job titles related to Freelance Machine Learning Engineer jobs in Port Richey, FL?

For Freelance Machine Learning Engineer jobs in Port Richey, FL, the most frequently searched job titles are:

What cities near Port Richey, FL are hiring for Freelance Machine Learning Engineer jobs?

Cities near Port Richey, FL with the most Freelance Machine Learning Engineer job openings:

Freelance Machine Learning Engineer jobs near you
Infographic showing various Freelance Machine Learning Engineer job openings in 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 $87,973 per year, or $42.3 per hour.

Data Scientist

Graham Technologies | We apply the latest technologies to build Forward Momentum.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning, predictive analytics, and artificial intelligence solutions that enhance logistics planning, sustainment operations, and enterprise decision-making. This role focuses on building scalable analytics solutions, predictive models, and interactive business intelligence capabilities that enable data-driven decision-making within a complex, mission-focused environment.

LocationTampa, Florida

Responsibilities

  • Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
  • Build demand forecasting models utilizing statistical techniques including time-series analysis, ARIMA, and exponential smoothing.
  • Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost, and reinforcement learning techniques.
  • Design and implement anomaly detection models utilizing clustering algorithms, DBSCAN, autoencoders, and other unsupervised learning methods.
  • Develop inventory optimization and resource allocation models utilizing statistical analysis and optimization techniques.
  • Analyze structured and unstructured enterprise datasets to identify trends, patterns, and operational risks.
  • Perform data preparation, feature engineering, and model validation to improve predictive performance.
  • Collaborate with Data Engineers to optimize enterprise data pipelines and cloud-based analytics environments.
  • Develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar business intelligence platforms.
  • Present analytical findings and recommendations to technical teams, program leadership, and Government stakeholders.
  • Develop technical documentation including model specifications, analytical methodologies, user guides, and standard operating procedures.
  • Conduct knowledge transfer sessions and provide training to Government personnel on analytical models and business intelligence tools.
  • Monitor model performance and continuously improve deployed AI/ML solutions.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate across multidisciplinary teams to deliver enterprise analytics solutions supporting mission objectives.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Minimum five (5) years of professional experience developing predictive analytics, machine learning, or artificial intelligence solutions.
  • Strong programming experience using Python.
  • Experience using R for statistical analysis.
  • Experience developing and deploying machine learning models.
  • Experience using TensorFlow, PyTorch, or similar machine learning frameworks.
  • Experience with predictive analytics and statistical modeling.
  • Experience analyzing large, complex enterprise datasets.
  • Experience with SQL and relational databases.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent written, verbal, and presentation skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, readiness, or operational analytics.
  • Experience with Databricks and Apache Spark.
  • Experience with cloud-based AI/ML environments in AWS or Azure.
  • Experience developing executive dashboards and business intelligence solutions.
  • Experience with optimization algorithms, linear programming, or supply chain modeling.
  • Experience with geospatial analytics or operational planning tools.
  • AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification.
  • Security+ or other DoD 8570/8140 certification.
Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.


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