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Remote Machine Learning Jobs in Dallas, GA (NOW HIRING)

iSenpai

SIEM Engineer-Atlanta, GA

Atlanta, GA · Remote

Remote access to a virtual lab for testing/learning opportunities * Flexible / Alternative Work ... Develop guidance on data analysis and reporting, including the use of machine learning models and ...

Geotab

Sales Enablement Lead (Remote)

Atlanta, GA · On-site +1

Processing billions of data points a day, Geotab leverages data analytics and machine learning to ... Please do not forward resumes to Geotab employees. #LI-Remote Why job seekers choose Geotab: Flex ...

SupplyHouse

Senior Product Manager

Atlanta, GA · Remote

$109K - $137K/yr

This is a remote-based role within select states in the United States. At this time, we are only ... Identifies and prioritizes opportunities to apply AI and machine learning -- such as dynamic ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... You will not be developing machine learning models or algorithms Who you are: We are building a ...

Airspace

Senior Specialist, Procurement

Atlanta, GA · On-site +1

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... This position is flexible to remote with in the US. Success Metrics Key Goals: First 90 Days

Lucidworks

Senior IT Systems Engineer

Atlanta, GA · Remote

$100K - $137K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

New

Lucidworks

Senior IT Systems Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

New

PrizePicks

Data Platform Engineer

Atlanta, GA · Remote

$100K - $150K/yr

... and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

... powers analytics, machine learning, and business decision-making at PrizePicks. This is an ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Ethos Risk Services

Senior Product Manager

Atlanta, GA · Remote

$150K - $200K/yr

Minimum 3 years of experience building and launching AI, machine learning, or LLM-powered products ... This position operates in a remote environment with frequent use of computers and office equipment.

Ethos Risk Services

Senior Product Manager

Atlanta, GA · On-site +1

$121K - $160K/yr

Minimum 3 years of experience building and launching AI, machine learning, or LLM-powered products ... This position operates in a remote environment with frequent use of computers and office equipment.

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Dallas, GA

Remote Machine Learning information

See Dallas, GA salary details

$23K

$38.5K

$79.5K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Dallas, GA is $38,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,600.00 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 job categories do people searching Remote Machine Learning jobs in Dallas, GA look for? The top searched job categories for Remote Machine Learning jobs in Dallas, GA are:
What cities near Dallas, GA are hiring for Remote Machine Learning jobs? Cities near Dallas, GA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
SIEM Engineer-Atlanta, GA

SIEM Engineer-Atlanta, GA

iSenpai

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

iSenpai is a Woman-Owned Small Business (WOSB) that provides enterprise IT and cyber security services, cloud technology, and data analytics solutions for US Government and commercial customers. We specialize in cloud-based solutions with cyber security integrated into the design, delivered using efficient Agile DevSecOps. Engaging across industry and academia to develop innovative approaches, we support our customers’ changing mission needs and data. Our iSenpai designs are industry-proven to handle enormous data streams from open source, Internet of Things (IOT), cyber tools, and social media. We bring expertise with the National Institute of Standards and Technology (NIST) Special Publication (SP) 800-53 and the Risk Management Framework (RMF) to maintain secure, scalable, and highly available systems to meet the mission. Our goal is to provide expert services to our clients while cultivating knowledge among all employees for the advancement of our services. We offer a comprehensive package of 100% employer-paid benefits, including medical, dental, vision, HSA Contribution, 401K match, and more.
iSenpai offers an extremely competitive benefits package to include:
  • Health, Dental, and Vision Insurance Premiums are 100% provided by iSenpai for employees and eligible dependents
  • Tricare Supplemental Insurance plan is provided by iSenpai for eligible employees and dependents
  • Personal Accident Insurance provided by iSenpai
  • Life Insurance provided by iSenpai
  • Short- and Long-Term Disability Insurance provided by iSenpai
  • 401K Contribution Matching - 5% dollar for dollar
  • Paid time off (PTO) starting at 4 weeks a year (20 days)
  • PTO buyback program
  • 11 paid Federal Holidays
  • Reimbursement for any wellness programs and/or work-life balance programs
  • Reimbursement for cell phone plans
  • Reimbursement for home internet
  • Reimbursement every 2 years for a cell phone upgrade
  • Thousands of discounts on everything from your cell phone bill to NFL tickets, Movie Tickets, Live Performances, etc
  • Rewards for obtaining new IT certifications
  • Computer-based training (CBT) library on IT and information security topics and certifications
  • Remote access to a virtual lab for testing/learning opportunities
  • Flexible / Alternative Work Schedules (based on customer requirements)
iSenpai is an equal opportunity / affirmative action employer. We give equal consideration to all qualified candidates without regard to race, color, gender, nationality, disability, or protected veteran status.
NOTE: To all recruitment and staffing agencies: iSenpai does not accept agency resumes or solicitation of your services. Please do not forward resumes to our jobs alias, iSenpai employees, or any other company location. iSenpai is not responsible for any fees related to unsolicited resumes or staffing services. Do not attempt to solicit your services.
Single owner corp to corp OR 1099 are encouraged to apply!
SIEM Engineer-Atlanta, GA
Required Education: Bachelor's Degree in Information Technology or related field.
Required Experience: 4 years of SIEM/ Cyber Security engineering experience
Location: Atlanta, GA, or remote upon request and Customer approval
Required Clearance: Public Trust
Description:
This individual will provide Splunk Engineering support to partner with security tools and infrastructure management teams to administer and manage the department's Splunk solution, facilitate data ingestion, analysis, correlation, and visualizations. The Splunk Engineer will enable our customer to fully deploy a Department Security Information and Event Management (SIEM) program utilizing Splunk Enterprise Security Tools.
Responsibilities:
  • Design and implement a technical infrastructure based on functional requirements for new and existing Splunk instances
  • Participate in requirements gathering, architecting, building, and supporting operational teams throughout the agency
  • Design and implement content management solutions to provide search, reporting, applications, and visualizations
  • Develop guidance on data analysis and reporting, including the use of machine learning models and complex data analysis
  • Maintain, upgrade, and operate Splunk systems while providing guidance and assistance across teams
  • Integrate automation, applications, and systems monitoring.
  • Provide extensive knowledge of Splunk and educate the customer's Splunk users on search, reporting, and visualization development.
  • Assist with Data Enrichment to improve reporting, search, and dashboard capabilities
Required Qualifications
  • Flexibility to meet any threat scenario 24/7/365 as mission dictates.
  • Must be a U.S. citizen with an active DoD Public Trust Clearance.
  • Experience with cloud-based technologies (AWS, Azure)
Desirable Qualifications:
  • Prefer candidate to possess one or more of the following certifications:
    • Certified Ethical Hacker (CEH) or other equivalent cyber certification(s)
    • Splunk Core Certified Consultant
    • Cribl Certified User
    • Security Tool Certifications (e.g., Cisco, Palo Alto, etc)
  • Experience integrating and using Automation tools (Ansible, Terraform)
  • Experience with NOC technologies and metrics
  • Desire to learn advanced SOC methodologies using Splunk ES
  • Experience with Security Orchestration, Automation and Response (SOAR) tools and technologies (e.g. Splunk Phantom, Ansible, Python, etc.)

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