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

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

Develop, validate, and optimize statistical and machine learning models that impact forecasting, segmentation, personalization, recommendation, or operational efficiency. * Build production‐ready ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

Develop, validate, and optimize statistical and machine learning models that impact forecasting, segmentation, personalization, recommendation, or operational efficiency. * Build production‐ready ...

(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 ...

Advocate

SSDI Case Manager

Orlando, FL · On-site +1

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... Familiarity with Salesforce or a similar CRM This is a remote position and Advocate is currently a ...

Advocate

SSDI Case Manager

Orlando, FL · Remote

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... Familiarity with Salesforce or a similar CRM This is a remote position and Advocate is currently a ...

Advocate

Client Engagement Associate

Orlando, FL · Remote

... 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

Client Engagement Associate

Orlando, FL · On-site +1

... 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 ...

Worth AI

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

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

Remote Machine Learning information

See Ocoee, FL salary details

$22.4K

$37.4K

$77.4K

How much do remote machine learning jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote machine learning in Ocoee, FL is $37,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,600.00 and $40,400.00 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.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Ocoee, FL? For Remote Machine Learning jobs in Ocoee, FL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Ocoee, FL look for? The top searched job categories for Remote Machine Learning jobs in Ocoee, FL are:
What cities near Ocoee, FL are hiring for Remote Machine Learning jobs? Cities near Ocoee, FL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Ocoee, FL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $37,442 per year, or $18 per hour.
Senior Data Scientist ID71658

Senior Data Scientist ID71658

AgileEngine

Orlando, FL • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- 5+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks, including TensorFlow and PyTorch;
- Experience with data visualization tools;
- Commercial experience applying data science specifically to vulnerability management;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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