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

Acclaim

Principal Machine Learning Engineer

Miami, FL · On-site +1

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

Seez

Generative AI and ML Engineer

Fort Lauderdale, FL · On-site +1

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 ...

Brooksource

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 ...

TSMG

AI/ML Data Contributor

Miami, FL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Miami, FL · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Serve Robotics

Remote Supervision Coordinator

Miami, FL · On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery ...

AIS Inc

Data Scientist

Miami, FL · Remote

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

micro1 AI

Engineering AI Evaluator (PhD)

Miami, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Miami, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

LLM Alignment Specialist - Engineering

Miami, FL · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Showing results 1-20

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

Remote Machine Learning information

See Hollywood, FL salary details

$23.4K

$39.1K

$80.7K

How much do remote machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote machine learning in Hollywood, FL is $39,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,200.00 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 Hollywood, FL? For Remote Machine Learning jobs in Hollywood, FL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Hollywood, FL look for? The top searched job categories for Remote Machine Learning jobs in Hollywood, FL are:
What cities near Hollywood, FL are hiring for Remote Machine Learning jobs? Cities near Hollywood, FL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Hollywood, FL as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $39,059 per year, or $18.8 per hour.

Senior Python / Machine Learning Engineer - Ft Lauderdale

FormativGroup

Fort Lauderdale, FL • On-site, Remote

$45 - $50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Summary

The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The individual will work closely with engineering and data teams to deliver reliable, production-ready solutions.

Key Responsibilities

  • Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods
  • Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Perform data preparation activities including cleansing, transformation, and feature engineering to support model accuracy
  • Evaluate model performance and iterate to improve reliability and predictive outcomes
  • Build and integrate RESTful APIs (e.g., Flask, FastAPI) to enable model consumption within applications
  • Collaborate with cross-functional teams to embed ML solutions into production environments

Required Qualifications

  • 6-8 + years of experience in Python-based development roles and AI/ML
  • Strong proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-learn
  • Hands-on experience implementing machine learning and deep learning models in real-world applications
  • Solid understanding of data engineering concepts, including preprocessing, feature engineering, and model evaluation techniques
  • Experience working with SQL or NoSQL databases
  • Familiarity with version control systems (e.g., Git) and collaborative development practices

Additional / Preferred Skills

  • Experience deploying models into production environments
  • Familiarity with scalable ML pipelines and MLOps concepts
  • Exposure to cloud-based AI/ML services (AWS, Azure, GCP)

Location

  • This role is a Hybrid role that requires candidate to go onsite 3 days in office/2 days remote. Candidates are preferred in Fort Lauderdale, FL. Candidates must reside within the physical US.
  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently.
  • To be considered for this position, candidates must reside in one of the following U.S. states: FL.
  • Candidates residing outside these states are not eligible for consideration currently.
  • Not open to 3rd party/C2C engagement

We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity.

In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc.

Estimated hourly Compensation Range:
$45—$50 USD

FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms.

FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

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