1

Machine Learning Nlp Jobs in Georgia (NOW HIRING)

W2 Candidates Only 🚨 We are seeking a Machine Learning Engineer to develop, deploy, and optimize ... NLP * Hugging Face * AWS SageMaker or Azure ML * MLflow * Docker and Kubernetes * MLOps

New

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

Sr. AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

JD: Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and MLOps to ...

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with ...

... machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

... machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... NLP, or information retrieval • Familiarity with data pipelines, feature stores, or embedding ...

$48.75 - $62.25/hr

They are creating something pretty amazing and are getting their hands dirty in Machine Learning \/ NLP. \n \n \n \n \n \n This is essentially a backend development role, therefore someone who has ...

Be Seen First

Machine Learning Engineer

Atlanta, GA · On-site

$50 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer 3 Date Posted: 7/31/26 Location: Atlanta, GA 30308 Job Type: Contract ... Develop transcription and NLP pipelines for customer interaction analysis Model Engineering ...

next page

Showing results 1-20

Machine Learning Nlp information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do machine learning nlp jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning nlp in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a machine learning NLP?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What does a machine learning NLP do?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning NLP position?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.
Infographic showing various Machine Learning Nlp job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Machine Learning Platform Engineer - Backend Services (Utah)

Waystar

Atlanta, GA • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Waystar is a leading company in healthcare payment solutions, seeking a Machine Learning Platform Engineer - Backend Services to enhance their platform for predictive models and data analysis. The role involves developing and maintaining machine learning frameworks, collaborating with data science teams, and ensuring the reliability of production systems.
Responsibilities:
• Develop and enhance the machine learning platform to manage the full model life cycle
• Build frameworks and tools to enable the data science team developing and enhancing predictive models, support scalable real-time predictions in production
• Design and implement data engineering solutions for model training
• Expand NLP capabilities with advanced analysis techniques to improve text understanding
• Design and implement high-performance, scalable services and applications
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
• Understand and adhere to development standards for consistency across teams
• Perform in-depth technical and performance analyses to troubleshoot production issues
• Monitor and maintain production systems for reliability and efficiency
Qualifications:
Required:
• Bachelor’s degree in Computer Science or related area, Masters preferred
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms
• Expert proficiency with SQL
• NLP
• Seasoned practitioner of engineering best practices such as CI/CD and automated testing
• Comfort working in a Linux environment
• Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
• Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures
• Experience with public cloud solutions, such as AWS or GCP
• Proven track record of successful delivery of progressively complex technical projects
• Coaching and mentoring junior engineers in the team
• Team player DNA with a positive, self-starter attitude
• Attention to detail, highly organized, with an absolute focus on quality of work
Preferred:
• Familiarity with ClearML, Triton, PyTorch, and TensorFlow
• Familiarity with statistics and healthcare domain
• Proven expertise in successful large project/build management and execution
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.