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Remote Machine Learning Jobs in Florida (NOW HIRING)

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and ...

Sr Machine Learning Engineer

Jacksonville, FL · On-site +1

$113K - $149K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Remote work opportunities from Europe / US * The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

... remote): Atlanta, GA, Columbus, GA or Jacksonville, FL What you will be doing * Lead the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI ...

New

... remote): Atlanta, GA, Columbus, GA or Jacksonville, FL What you will be doing * Lead the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI ...

Lead DS- Remote

Miami, FL · On-site +1

$90 - $100/hr

Remote Compensation: $90-$100 hourly Job Type: Long Term Contract Job Summary We are seeking a Lead ... This role combines machine learning, operations research, and optimization techniques to drive ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Masters degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Master's degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

... remote sensing platforms, sensor technologies, and modern machine learning workflows. DETAILED ROLES & RESPONSIBILITIES * Lead the identification, definition, and prioritization of AI, analytics, and ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

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Showing results 1-20

Remote Machine Learning information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do remote machine learning jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote machine learning in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning jobs in Florida are:
What job categories do people searching Remote Machine Learning jobs in Florida look for? The top searched job categories for Remote Machine Learning jobs in Florida are:
What cities in Florida are hiring for Remote Machine Learning jobs? Cities in Florida with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Senior Director, Machine Learning and Artificial Intelligence

Senior Director, Machine Learning and Artificial Intelligence

ADT Security Services

Boca Raton, FL • Remote

Full-time

Posted 6 days ago


ADT rating

7.0

Company rating: 7.0 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

37th of 108 rated security


Job description

Summary:

The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services. 

The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge.

Duties and Responsibilities:

  • Team Leadership: Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence. 
  • Strategic Roadmap: Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision. 
  • End-to-End Deployment: Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring.
  • Cross-Functional Collaboration: Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI. 
  • AI Innovation & Adoption: Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices. 
  • AI Governance & Ethics: Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments.
  • Stakeholder Communication: Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders. 
  • Roadmap Influence: Influence product and operational roadmaps with actionable data insights and active AI deployments. 
  • Data Strategy: Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines. 
  • Education: Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field. 
  • Domain Experience: 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models. 
  • Leadership Experience: 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams. 
  • Technical Expertise: Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs). 
  • Programming & Frameworks: Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face. 
  • Core Skills: Excellent leadership, communication, and project management skills. 
  • Organizational Scaling: Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection.     
  • Executive Presence: Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members. 
  • Infrastructure Knowledge: High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). 

Minimum Qualifications:

Communication Skills:

  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements: 

  • Remote/Home office (Continually=67-100% of the workday)

Travel:

  • Occasionally, less than 25%


What ADT employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874