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Remote Machine Learning Engineer Jobs in Dahlonega, GA

RELX

Senior Site Reliability Engineer II

Buford, GA · On-site +1

$125K - $209K/yr

If not, this role is fully remote. We do not restrict applicants based on job site or posting ... A culture that values automation, learning, and continuous improvement U.S. National Base Pay Range ...

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Dahlonega, GA

Remote Machine Learning Engineer information

See Dahlonega, GA salary details

$30.5K

$124.7K

$187.3K

How much do remote machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote machine learning engineer in Dahlonega, GA is $124,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $150,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What cities near Dahlonega, GA are hiring for Remote Machine Learning Engineer jobs? Cities near Dahlonega, GA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Dahlonega, GA as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,668 per year, or $59.9 per hour.

Senior Site Reliability Engineer II

RELX

Buford, GA • On-site, Remote

$125K - $209K/yr

Full-time

Re-posted 24 days ago

Job description

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role:

We are hiring a hands-on Senior Site Reliability Engineer (SRE) to actively build, operate, and improve the reliability of our production systems. This is not a purely advisory role you will be directly involved in designing infrastructure, writing Terraform, improving observability, and responding to real production incidents.

If you live near one of our offices, you may work a hybrid schedule. If not, this role is fully remote. We do not restrict applicants based on job site or posting location.

Job Title: Senior Site Reliability Engineer (SRE)

Location: Open (U.S.-based). No job site restrictions.
Work Model: Hybrid (if near an office) or Fully Remote
Employment Type: Full-time
Department: Engineering / Infrastructure

What You'll Do

  • Design, build, and operate highly available, scalable systems in AWS

  • Write, maintain, and review Terraform to provision and manage infrastructure

  • Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends

  • Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution

  • Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation

  • Define and manage SLOs, SLIs, and error budgets

  • Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub

  • Work directly with application teams to improve reliability, performance, and deployability

  • Automate manual operational tasks to reduce toil

  • Maintain clear, actionable runbooks and documentation in Confluence

  • Track work, incidents, and operational improvements using Jira and ServiceNow

  • Mentor other engineers and help set SRE standards and best practices

Required Qualifications

  • 5+ years of hands-on experience in SRE, DevOps, or Infrastructure Engineering roles

  • Strong production experience in AWS

  • Required: Significant hands-on experience with Terraform in real-world environments

  • Experience operating monitoring and uptime platforms such as Grafana, Pingdom, and Uptrends

  • Strong Linux systems, networking, and troubleshooting skills

  • Experience supporting production systems through incident response and on-call rotations

  • Proficiency with GitHub and modern Git workflows

  • Experience building or maintaining CI/CD pipelines with Azure DevOps

  • Familiarity with ITSM and incident workflows using ServiceNow

  • Strong written communication skills with experience documenting systems and processes in Confluence

  • Ability to work independently in a remote or hybrid environment

Preferred Qualifications

  • Experience defining and operating against SLOs and error budgets

  • Infrastructure-as-Code best practices beyond Terraform (modules, testing, CI integration)

  • Experience with containers and orchestration (Docker, Kubernetes)

  • Experience supporting large-scale, high-availability production systems

  • Prior experience mentoring engineers or serving as a technical lead

What We Offer

  • Competitive salary and comprehensive benefits

  • Flexible work location with hybrid or fully remote options

  • Real ownership of production systems and reliability outcomes

  • A culture that values automation, learning, and continuous improvement

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $123,816- $197,784. This job is eligible for an annual incentive bonus. Application deadline is 08/24/2026.

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