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Remote Python Trainer Jobs in Florida (NOW HIRING)

Data Scientist

Tampa, FL · On-site +1

$110K - $130K/yr

Own the full ML lifecycle: data preparation, feature engineering, model training, validation ... Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or ...

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

... Python. * Comfort thinking in terms of engineering systems, not coding scripts. * Familiarity with ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

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Remote Python Trainer information

What is the difference between Remote Python Trainer vs Remote Data Scientist?

AspectRemote Python TrainerRemote Data Scientist
Required CredentialsPython certifications, teaching experienceStatistics, programming, Python, data analysis certifications
Work EnvironmentOnline training platforms, educational institutionsResearch organizations, tech companies, consulting firms
Employer & Industry UsageEducational, e-learning, corporate trainingTech, finance, healthcare, research
Search & Comparison IntentLearning, teaching, curriculum developmentData analysis, modeling, machine learning

While both roles require Python knowledge, Remote Python Trainers focus on teaching and curriculum development, often in educational or corporate settings. Remote Data Scientists analyze data, build models, and derive insights, typically working in research or tech industries. The roles overlap in Python skills but differ in their primary focus and work environment.

What are the most commonly searched types of Python Trainer jobs in Florida? The most popular types of Python Trainer jobs in Florida are:
What cities in Florida are hiring for Remote Python Trainer jobs? Cities in Florida with the most Remote Python Trainer job openings:
Data Scientist

Data Scientist

ABC Legal Services

Tampa, FL • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

About ABC Legal Services

ABC Legal Services is the nation's premier process serving and court filing company, operating across all 50 states. We are a technology-forward legal services company on a mission to make legal processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at scale. We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.

Role Overview

We're seeking a Data Scientist with hands-on experience in machine learning engineering and MLOps. In this role, you'll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You'll work within our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business outcomes.

Key Responsibilities

  • Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing
  • Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
  • Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
  • Partner with product and operations teams to translate business requirements into data science solutions
  • Monitor deployed models in production, identify performance degradation, and drive continuous improvement
  • Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing
  • Stay current with advances in ML and data science tooling, and advocate for best practices across the team

Requirements

Required

  • 3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities
  • Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow)
  • Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
  • Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring
  • Experience with SQL and working with structured data in cloud data warehouses or relational databases
  • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders
  • Strong self-direction and communication skills suited for a remote work environment

Nice to Have

  • Experience in the legal, collections, or financial services industry
  • Background in targeted mail marketing, direct mail modeling, or customer segmentation
  • Familiarity with AI coding agents and agentic development workflows (e.g., Claude, Copilot, Cursor, or similar tools)
  • Experience with propensity modeling, uplift modeling, or response prediction
  • Exposure to LLM-based workflows or applied NLP in a production setting
  • Data engineering experience with modern tooling such as Dagster, Airbyte, and dbt
  • Familiarity with AWS data services including Glue, Lambda, Redshift, and Step Functions

Compensation & Benefits

  • Fully remote position with flexible working hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunity to shape data science strategy at a growing, industry-leading company

Salary Range: $110,000-$130,000 depending on experience