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Remote Machine Learning Jobs in Chattanooga, TN (NOW HIRING)

FirstBank

Senior Automation Developer

Chattanooga, TN · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Chattanooga, TN · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Munich Re

Data Scientist, AI

Chattanooga, TN · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Chattanooga, TN

Remote Machine Learning information

See Chattanooga, TN salary details

$23.2K

$38.8K

$80.1K

How much do remote machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote machine learning in Chattanooga, TN is $38,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,600.00 and $41,900.00 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 popular job titles related to Remote Machine Learning jobs in Chattanooga, TN? For Remote Machine Learning jobs in Chattanooga, TN, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Chattanooga, TN look for? The top searched job categories for Remote Machine Learning jobs in Chattanooga, TN are:
What cities near Chattanooga, TN are hiring for Remote Machine Learning jobs? Cities near Chattanooga, TN with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Chattanooga, TN as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $38,774 per year, or $18.6 per hour.
Senior Automation Developer

Senior Automation Developer

FirstBank

Chattanooga, TN • Remote

Full-time

Posted 28 days ago

Job description

This position is remote, but you MUST be located in our business footprint, which includes the following states: TN, KY, AL, GA, NC

Summary: 

We’re in search for a Senior Automation Developer that is ready to innovate and explore what’s possible in the world of automation. In this role, you’ll work with our Automation Business Analysts to develop workflow processes. To be successful, you’ll need experience in technologies including Jack Henry Enterprise Workflow, Automate, SharePoint, and Power Apps

Essential Duties and Responsibilities:

  • Develop, and test automation workflows.
  • Deploy RPA components including bots, robots, development tools, code repositories and logging tools.
  • Support the implementation of RPA solutions.
  • Create process documentation.
  • Assure the quality of the automation (QA processes).
  • Work directly with Automation Business Analyst to translate workflow designs into technical approaches and designs that can be implemented.
  • Ensure proper implementation and integration of the solutions.
  • Support deployments or troubleshoot production issues
  • Maintain current knowledge of relevant technologies and business processes.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 

Education and/or Experience

  • 5+ years of hands on experience with automation tools and cognitive platforms such as SharePoint, Power Apps, Jack Henry Enterprise Workflow, and RPA platforms  
  • Basic programming knowledge on HTML, JavaScript (or any scripting language).
  • Able to design technical specification documents for RPA Projects.
  • Experience developing and consuming APIs.
  • Experience with Databases (SQL or NoSQL) often preferred.

Skills and Abilities  

  • Knowledge of artificial intelligence and machine learning.
  • Understanding of workflow-based logic.
  • Strong attention to detail and analytical skills.
  • Superior time and project management skills.
  • Excellent problem solving/analytical skills and complex troubleshooting methods.
  • Ability to work through ambiguous situations.
  • Excellent presentation, verbal, and written communication skills.
  • Self-motivated, able to work independently, and able to take initiative without always being directed.
  • Ability to multitask in a fast paced environment and prioritize the most critical tasks and projects.
  • Ability to demonstrate the highest level of ethical behavior and confidentiality and maintain confidentiality with sensitive information. 

Apply