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Remote Python Machine Learning Jobs in Saint Johns, FL

TransPerfect

Freelance Photo Editor

Jacksonville, FL · Remote

United States (remote/work from home) Workload: Flexible schedule (preferred weekly availability is ... Our department focuses on gathering, enriching and processing data for Machine Learning in ...

Strategygen Co.

Principal Data Scientist

Jacksonville, FL · On-site +1

$130K - $165K/yr

... machine learning solutions with explainability to prioritize and detect noncompliance, and ... Python and/or R, SQL, and structured data analysis (SAS experience a plus) and experience using ...

Varsity Tutors

Linear Algebra Tutor

Jacksonville, FL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

DataAnnotation

Application Developer

Jacksonville, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Senior Software Engineer

Jacksonville, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Backend Developer

Jacksonville, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Full Stack Engineer

Jacksonville, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Frontend Engineer

Jacksonville, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer

Jacksonville, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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See Saint Johns, FL salary details

$11

$49

$73

How much do remote python machine learning jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote python machine learning in Saint Johns, FL is $49.85, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $56.63 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.
More about Remote Python Machine Learning jobs
What cities near Saint Johns, FL are hiring for Remote Python Machine Learning jobs? Cities near Saint Johns, FL with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Security Engineer - LLM SecOps

Security Engineer - LLM SecOps

RIT Solutions, Inc.

Jacksonville, FL • On-site, Remote

Other

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

Job description

Job Title: Security Engineer - LLM SecOps
Location: Hybrid - most remotely with ability to travel to California or NY when needed
Project Duration: May to December (with potential extension)
Interview: Video
Need banking / financial services / payments experience
Overview
We are seeking a Security Engineer specializing in LLM SecOps to join a Product Security Engineering team within a leading US-based fintech organization. This role focuses on securing AI/LLM-powered systems embedded in customer-facing and internal platforms, operating at scale in a regulated financial environment.
Unlike traditional security roles, this position works directly with engineering teams to design and implement security controls within AI inference pipelines, ensuring data protection, model integrity, and real-time performance.
Key Responsibilities
  • Design and implement guardrail systems for securing LLM inputs and outputs in production environments
  • Secure Retrieval-Augmented Generation (RAG) pipelines, vector databases, and embedding workflows
  • Develop runtime monitoring solutions for AI systems, including prompt logging, context analysis, and response validation
  • Secure LLM API endpoints through authentication, rate limiting, and abuse prevention mechanisms
  • Detect and respond to AI-related security incidents using structured Root Cause Analysis (RCA) methodologies
  • Manage AI supply chain risks, including third-party models, APIs, and plugin integrations
  • Collaborate closely with Product Security, Machine Learning Engineering, and Platform teams.

Required Qualifications
LLM Security
  • Experience with prompt injection defense, jailbreak detection, and output filtering
  • Familiarity with OWASP Top 10 for LLM Applications
Data & RAG Security
  • Knowledge of vector database security and embedding pipeline protection
  • Experience with data isolation in multi-tenant environments and PII protection
Monitoring & Incident Response
  • Experience with logging, anomaly detection, and SIEM integration for AI systems
  • Strong understanding of incident response frameworks and RCA practices
Cloud & Infrastructure
  • Hands-on experience with AWS environments
  • Knowledge of Kubernetes security, container isolation, and IAM/RBAC models
  • Experience securing APIs using OAuth, JWT, and rate limiting techniques
Engineering
  • Strong proficiency in Python for automation, scripting, and security tooling
Preferred Qualifications
  • Experience in fintech, payments, or regulated financial services environments
  • Exposure to AI security platforms such as Lakera, Protect AI, HiddenLayer, or similar tools
  • Relevant certifications (e.g., AWS Security Specialty, CISSP, OSCP)
  • Familiarity with regulatory and data protection frameworks (e.g., PCI-DSS, FCRA)
Technology Environment
  • Cloud: AWS (EKS, Aurora MySQL)
  • Data Processing: Apache Spark
  • Backend: Python, Kotlin
  • Frontend: JavaScript, TypeScript, React / React Native
  • Security & Operations: mTLS, CDN/Edge Security, SLI/SLO frameworks, RCA practices

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