ZipRecruiter

Log In

2

Hourly Remote Machine Learning Engineer Jobs in Miami, FL

Varsity Tutors

Machine Learning Tutor

Sunrise, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Coral Gables, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cooper City, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Miramar, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Doral, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Hialeah, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Miami, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

OneStream

AI Engineer

Fort Lauderdale, FL · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Motorola

Senior DevOps Engineer (US REMOTE)

Plantation, FL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Cisco

Senior Software Engineer (Remote)

Miami, FL · Remote

$117K - $154K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

next page

Showing results 1-20

All JobsHourly Machine Learning Engineer JobsHourly Remote Machine Learning Engineer JobsHourly Remote Machine Learning Engineer Jobs in Miami, FL

Hourly Remote Machine Learning Engineer information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for hourly remote machine learning engineer in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Miami, FL?

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

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

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities near Miami, FL with the most Hourly Remote Machine Learning Engineer job openings:

Hourly Remote Machine Learning Engineer jobs near you

Machine Learning Engineer (3D Vision)

Fort Lauderdale, FL • On-site, Remote

FitMatch
See more jobs at FitMatchexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a visionary, highly skilled, and impact-driven Computer Vision Engineer (3D-focused) to join our Data Science team. This is a role designed for a creative problem solver and technical thought leader-someone who looks at complex, high-dimensional data and translates it into real-world human outcomes.
In this role, you will own the mission of transforming raw 3D body scan data, measurement features, and body composition metrics into actionable insights. Your work will directly impact cutting-edge healthcare applications and optimize performance tracking for both adolescent and professional athletes in the sports/fitness space. If you want to move beyond passive model training and actively pioneer solutions to real-world physical challenges, this is your sandbox.
Note: This position is a contract-to-hire opportunity
Key Responsibilities (Driving Innovation)
  • Architect & Pioneer: Develop, train, and deploy advanced machine learning and deep learning models for complex spatial analysis of 3D human body scans. You will move fluidly from zero-to-one prototyping to production infrastructure.
  • Build from Truth: Work directly with ground truth 3D data to creatively build high-performance, robust predictive models that solve tangible physiological pain points.
  • Cross-Disciplinary Integration: Synthesize 3D spatial features with multi-modal metadata, including biometrics, demographic information, and self-reported health outcomes to reveal comprehensive health insights.
  • Unlocking Complex Data: Design and implement novel algorithms for feature extraction and dimensionality reduction from irregular mesh or point cloud data.
  • Scientific Rigor & Validation: Conduct comprehensive statistical validation and A/B testing of models and deployed features to ensure real-world efficacy and safety.
  • Collaborative Thought Leadership: Act as a technical partner alongside software engineers and domain experts (such as clinicians and biomechanical engineers) to scale and integrate solutions directly into production.
  • Data Storytelling: Generate clear, compelling visualizations and reports that effectively communicate nuanced, complex analytical results to both technical teams and non-technical stakeholders.

About You
  • The Problem-Solver Mindset: You are energized by tackling ambiguous, complex technical challenges and excel at manipulating data in all its forms-especially 3D and spatial data.
  • The Innovator's Foundation: You bring a bulletproof foundation in Python, machine learning, and scientific computing, paired with an insatiable curiosity, creativity, and a proactive, hands-on approach to building solutions.
  • Real-World Impact Focus: You don't just optimize metrics in a vacuum; you care deeply about how your models perform when applied to a real human body.

Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field.
  • Experience: Minimum of 3+ years of professional experience as a Data Scientist or Machine Learning/Computer Vision Engineer, with a focus on high-dimensional or spatial data domains.
  • Execution: A proven track record of autonomous ownership-taking a model all the way from initial research/prototype to live production deployment.

Programming & Infrastructure
  • Python Mastery: Expert-level Python and full command of its scientific computing stack.
  • Data & Math Foundations: Deep proficiency with data manipulation libraries like Pandas and NumPy , alongside scientific computing tools like SciPy and Scikit-learn.
  • Infrastructure Autonomy: High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments (AWS, GCP, or Azure CLI). You should be fully capable of managing compute resources, automating workflows, and troubleshooting cloud infrastructure directly from the command line.

Machine Learning & Vision
  • Deep Learning Frameworks: Production experience utilizing PyTorch and/or TensorFlow/Keras.
  • Statistical Rigor: A strong background in statistical modeling, predictive modeling, and experimental design.
  • 3D Geometry Processing: Direct experience handling computer vision tasks relevant to 3D geometry, such as registration, segmentation, and shape analysis.
  • Spatial Statistics: Strong familiarity with spatial statistics and specialized techniques for analyzing geometric features.

Preferred Skills (The Toolset of a Thought Leader)
  • Advanced Geometric Deep Learning: Knowledge of cutting-edge geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D structures.
  • 3D Frameworks: Hands-on experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, STL formats).
  • Processing Libraries: Familiarity with modern libraries for geometric processing and visualization, such as Open3D, PCL (Point Cloud Library), or Trimesh.
  • Modern MLOps: Scaled deployment experience using Docker and Kubernetes.
  • Creative Prototyping: Experience with 3D modeling and asset creation in Blender for synthetic data generation or visualization.

Compensation, Perks & Benefits
  • Generous PTO policy + 12 paid US holidays
  • Medical, dental, and vision insurance for you and your family
  • Paid Parental Leave
  • 401k
About Us
Fit:Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.
Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is, without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.
Department Engineering Locations Fort Lauderdale, New York, NY, San Francisco, CA, Seattle, WA Remote status Fully Remote

Apply