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Remote Senior Machine Learning Engineer Jobs in Atlanta, GA

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Experience developing AI applications using modern LLMs, machine learning models, or intelligent ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

YO AI Labs

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Partners effectively across business, research, engineering, analytics, and product teams.

Zeta Global

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

THE ROLE The machine learning team sits at the heart of our technology and delivers on the core ... Independent engineer, capable of owning projects from an idea to design and final implementation ...

Cisco

Senior Software Engineer (Remote)

Atlanta, GA · Remote

$117K - $155K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/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 ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/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 ...

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

FirstBank

Senior Automation Developer

Atlanta, GA · 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.

YO AI Labs

AI Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

KPMG

Director, AI Engineer

Atlanta, GA · On-site +1

Act as a trusted advisor to senior and C-level client stakeholders, shaping AI strategies and ... Professional AI Architect, Machine Learning Engineer) or equivalent are a plus * Advanced degree ...

FirstBank

Senior Automation Developer

Atlanta, GA · 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.

Plume

Senior Engineer

Atlanta, GA · Remote

$130K - $140K/yr

Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected ... Published ranges are provided in good faith at the time of posting. #RemoteWork #LI-Remote #Wor ...

ICF

Senior Transmission Line Engineer - REMOTE

Atlanta, GA · Remote

$100K - $138K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

Revenue Analytics

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

... machine learning, and AI - and in Hospitality, we're building products that redefine what modern ... As a Senior Full-Stack Software Engineer, you'll own end-to-end delivery across our analytics ...

Revenue Analytics

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

... machine learning, and AI - and in Hospitality, we're building products that redefine what modern ... As a Senior Full-Stack Software Engineer, you'll own end-to-end delivery across our analytics ...

YO AI Labs

RL Environment Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Software Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Atlanta, GA

Remote Senior Machine Learning Engineer information

See Atlanta, GA salary details

$72.6K

$137.8K

$184.6K

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

As of Sep 2, 2026, the average yearly pay for remote senior machine learning engineer in Atlanta, GA is $137,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $155,300.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Atlanta, GA?

For Remote Senior Machine Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Atlanta, GA are:

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

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

Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $137,797 per year, or $66.2 per hour.

Senior AI Engineer 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

$100K - $138K/yr

Full-time

Re-posted 4 days ago

Job description

Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.
We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production.
We believe successful AI initiatives require much more than prompting an LLM. They require strong software engineering, scalable architecture, reliable deployment, thoughtful evaluation, and disciplined engineering practices.
About the Role
As a Senior AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value.
You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization.
What You Will Do
  • Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows
  • Translate business problems into scalable technical solutions using modern AI engineering best practices
  • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems
  • Build multi-agent systems, AI agents, workflow automation, and decision-support systems
  • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance
  • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications
  • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders
  • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring
  • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice
  • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

What We Are Looking For
We are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration.
You understand that successful AI systems require excellent engineering, not just excellent models.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
  • 3+ years of professional software engineering experience building production applications
  • 1+ years designing and deploying AI or machine learning solutions into production
  • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages
  • Experience building scalable backend systems, APIs, or distributed applications.
  • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions
  • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance
  • Experience with MLOps, LLMOps, or production deployment pipelines
  • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
  • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses
  • Experience integrating AI applications with enterprise data sources, APIs, and business systems
  • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies
  • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
  • Ability to independently own technical workstreams while collaborating across multidisciplinary teams

Preferred Qualifications
One or more of the following is a plus:
  • Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, and Express
  • Experience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications
  • Experience designing distributed systems, concurrency, or high-scale cloud applications
  • Experience deploying AI solutions serving 1000+ users
  • Consulting experience or experience working directly with enterprise customers
  • Experience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applications
  • Experience pre-training or fine-tuning LLMs

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

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