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Remote Machine Learning Jobs in Orlando, FL (NOW HIRING)

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps.

Advocate

Claims Assistant

Orlando, FL · Remote

$17.50 - $22.25/hr

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... This is a remote position and Advocate is currently a fully remote team. Advocate is an equal ...

Advocate

Claims Assistant

Orlando, FL · On-site +1

$17.50 - $22.25/hr

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... This is a remote position and Advocate is currently a fully remote team. Advocate is an equal ...

DataAnnotation

QA Engineer - AI Trainer

Orlando, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Orlando, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Deltona, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Orlando, FL

Remote Machine Learning information

See Orlando, FL salary details

$23.8K

$39.8K

$82.1K

How much do remote machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote machine learning in Orlando, FL is $39,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 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.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Orlando, FL? The most popular types of Machine Learning jobs in Orlando, FL are:
What are popular job titles related to Remote Machine Learning jobs in Orlando, FL? For Remote Machine Learning jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Orlando, FL look for? The top searched job categories for Remote Machine Learning jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Machine Learning jobs? Cities near Orlando, FL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Orlando, FL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $39,752 per year, or $19.1 per hour.
Decision Scientist - Course Developer/Instructor

Decision Scientist - Course Developer/Instructor

The Walt Disney Company

Lake Buena Vista, FL • On-site, Remote

$111K - $150K/yr

Full-time

Posted 27 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 50 rated entertainment

Job description

Job Posting Title:

Decision Scientist - Course Developer/Instructor

Req ID:

10142558

Job Description:

The Disney Decision Science and Integration (DDSI) teamleveragesadvanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

In DDSI, we sit at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. As an analytical Center of Excellence, we are responsible for developing and delivering data science courses to business professionals across the enterprise, including individual contributors and executives. As a Decision Scientist - Course Developer/Instructor, you will play a pivotal role in designing and teaching these courses. In addition, you will have opportunities to develop innovative decision science solutions that support critical projects for internal clients.

This team is based in Lake Buena Vista, FL and works in office. The role reports to the Senior Manager, Decision Science.

What You Will Do

Responsibilities as a Decision Scientist Course Developer/Instructor

  • Develop and deliver applied data science courses covering topics such as probability and uncertainty, mathematical optimization, coding for automation and data analytics, machine learning, and data visualization.

  • Support learning across the enterprise through "office hour"-style consultations that help business professionals apply methods and ideas from our courses in their day-to-day work.

Responsibilities as a Decision Scientist:

  • Drive value through analytics - Research, develop, and implement decision science frameworks as a consultant to business units across The Walt Disney Company.

  • Pursue innovation - Conduct research on analytical techniques and translate that research into practical solutions for users and clients.

  • Tell the story - Present science results to business partners and clients.

  • Support a global and enterprise-wide mission - Identify and apply best practices in the field of advanced analytics for multiple lines of business.

Required Qualifications & Skills:

  • Minimum of 1 year of related work experience.

  • Ability to teach concepts on technical subject matter to non-experts in a clear and memorable way.

  • Ability to craft technical slides, animations, and scripts to be used in teaching live or remote audiences.

  • Excellent written and spoken English.

  • Proficient at writing code in at least one programming language like R, Python, Julia, or other programming language.

  • Competence in at least one quantitative field, as indicated by the completion of advanced coursework and original research. Fields include, but are not limited to:

Statistics (two or more topics):

  • Bayesian statistics

  • Generalized linear models

  • Design of Experiments

  • Mixture models

  • Nonparametric regression

  • Structural equation models

  • Time series (state space models, ARIMA, etc.)

Optimization (at least one topic):

  • Decision analysis or multiple criteria decision making

  • Mixed-integer optimization

  • Nonlinear optimization

  • Stochastic optimization

  • Discrete-event simulation and stochastic models

Econometrics/Economics (two or more topics):

  • Difference in differences

  • Instrumental variables

  • Panel data

  • Regression discontinuity design

  • Simultaneous equations models

  • Dynamic stochastic general equilibrium modeling

  • Game Theory

Machine learning (two or more topics):

  • Boosting

  • CART

  • Clustering

  • Graphical models

  • Neural networks

  • Random forests

  • Reinforcement learning

  • Support vector machines

Preferred Qualifications:

  • Experience using advanced analytics to shape highimpact strategic or enterpriselevel decisions, ideally in complex or fastmoving business environments.

  • Expertise in decision theory, system dynamics, industrial organization, or other approaches for understanding and influencing decisions in complex systems.

  • Ability to translate sophisticated analytical methods into clear, actionable insights for leaders and nontechnical partners.

  • Experience developing data science training for business professionals.

Required Education

Master's degree in advanced Mathematics, Statistics, Data Science, or comparable field of study, and/or equivalent work experience

Preferred Education

Ph.D. degree in Statistics, Applied Mathematics, Operations Research, Econometrics, Economics, Machine Learning, or comparable field of study, and/or equivalent work experience

#DisneyTech

#DisneyAnalytics

The hiring range for this position in Lake Buena Vista, FL is $111,900 to $150,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Corporate Strategy

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-02-06

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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