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Remote Machine Learning Engineer Jobs in Dalton, GA

Unum UK

Sr. Data Engineer - CX Analytics

Chattanooga, TN · Remote

$104K - $125K/yr

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Core Data Engineer Capabilities: Deep expertise in at least two of the following, with basic ...

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Remote Machine Learning Engineer information

See Dalton, GA salary details

$27.9K

$114.1K

$171.5K

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

As of Aug 15, 2026, the average yearly pay for remote machine learning engineer in Dalton, GA is $114,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $137,400.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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?

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.

What are the most commonly searched types of Machine Learning Engineer jobs in Dalton, GA?

The most popular types of Machine Learning Engineer jobs in Dalton, GA are:

What cities near Dalton, GA are hiring for Remote Machine Learning Engineer jobs?

Cities near Dalton, GA with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you

Senior AI Workflow Engineer

BlueCross BlueShield of Tennessee

Chattanooga, TN • On-site, Remote

$95K - $130K/yr

Full-time

Posted 25 days ago

Job description

At BlueCross BlueShield of Tennessee, we're building the foundation for an AIenabled future-one where our teams work smarter, our operations move faster, and our 3.4 million members experience a more responsive, reliable, and affordable healthcare journey.

We're hiring a Senior AI Workflow Engineer to help drive this work within Commercial Finance. In this role, you'll be embedded directly with our finance teams (including underwriting) to help them imagine what's possible beyond today's tooling.

To do that, you'll need:

  • Experience with Generative AI, LLM integration, or agent framework

  • Understanding of APIs, orchestration, and integration patterns

  • Proficiency in Python and associated AI / ML libraries and frameworks

Our ideal candidates will also bring experience in healthcare (other payers, hospital systems, health tech companies) and/or experience working with finance teams.

If you're inspired by our mission, we'd love to hear from you!

Notes:

  • While this is a fully remote role, a final onsite interview at our Chattanooga, TN, headquarters will be required.

  • Sponsorship is not available for this role.

Job Responsibilities

Process Discovery & Business Partnership

  • Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA, and align with internal data security and privacy policies.
  • Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs.

AI Workflow Design & Engineering

  • Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.
  • Incorporate AI components such as LLM agents and retrieval pipelines.

Adoption, Training & Change Leadership

  • Present workflow solutions to stakeholders and lead training sessions.
  • Act as an evangelist for AI adoption across the enterprise and contribute to AI playbooks and operational standards.
  • Establish telemetry for performance, drift, and cost.
  • Troubleshoot issues and identify issues and opportunities to improve workflow efficiency and additional automation.

Job Qualifications

Education

  • Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master's or PhD degree is a plus

Experience

  • 4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills.
  • Strong proficiency in Python; experience with cloud platforms.
  • Understanding of APIs, orchestration, and integration patterns.
  • Experience with Generative AI, LLM integration, or agent frameworks.
  • Strong communication and stakeholder-collaboration skills.

Skills/Certifications

  • Advanced proficiency in Python and associated AI/ML libraries and frameworks.
  • Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex).
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
  • Basic analytical and problem-solving skills.
  • Good verbal and written communication skills. Ability to document work clearly.
  • Strong business acumen and ability to translate strategic priorities into technical requirements.
  • Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.

Number of Openings Available

1

Worker Type:

Employee

Company:

BCBST BlueCross BlueShield of Tennessee, Inc.

Applying for this job indicates your acknowledgement and understanding of the following statements:

BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.

Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:

BCBST's EEO Policies/Notices

BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.

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