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

micro1 AI

AI Trainer - Microbiology Expert

Lakeland, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Consor Engineers

Proposal Coordinator

Kissimmee, FL · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Consor Engineers

Proposal Coordinator

Kissimmee, FL · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

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

Remote Machine Learning information

See Auburndale, FL salary details

$21.8K

$36.3K

$75.1K

How much do remote machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote machine learning in Auburndale, FL is $36,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,700.00 and $39,200.00 per year, depending on experience, location, and employer.

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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Auburndale, FL? The most popular types of Machine Learning jobs in Auburndale, FL are:
What cities near Auburndale, FL are hiring for Remote Machine Learning jobs? Cities near Auburndale, FL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Marketing Analytics Data Scientist

Publix Super Markets, Inc.

Lakeland, FL • Remote

Other

Re-posted 13 days ago

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,664 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores

Job description

Publix is able to offer virtual/remote employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA, KY
This role is responsible for developing and deploying advanced data science and machine learning solutions that drive business performance, enhance customer personalization, and optimize pricing, merchandising, and promotional strategies. The position leverages large-scale data analysis, predictive modeling, and AI-driven systems to generate insights, automate decision-making, and improve customer engagement across channels.
Additional responsibilities include:
  • developing and implementing scalable Data Science Analytical Solutions that rely on machine learning and artificial intelligence to automate and optimize key business processes and help improve efficiency and financial results
  • providing research-based consultation and recommendations regarding the personalization of customer interfaces with Publix
  • contributing to the design and measurement of customer personalization programs at the Marketing channel, omni-channel, product hierarchy, and store level
  • analyzing customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and/or customer behavior
  • building learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives
  • manipulate large datasets to discover and extract meaningful business information using data mining, statistics, and machine learning techniques
  • developing scalable, efficient processes for large scale data analyses, model development and model implementation
  • analyzing and troubleshooting highly complex systems for accuracy, performance improvement and integration with changes to other enterprise systems

What Publix employees say

Pay

Benefits

Hours and flexibility

Workplace

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