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Machine Learning Engineer Nlp Jobs (NOW HIRING)

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Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Experience with natural language processing (NLP) and computer vision. * Familiarity with big data ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... PySpark * Hadoop NLP & Advanced Techniques (Preferred) * Natural Language Processing (NLP)

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

Your focus will span across natural language processing (NLP), generative AI (GenAI), large ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... PySpark * Hadoop NLP & Advanced Techniques (Preferred) * Natural Language Processing (NLP)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... PySpark * Hadoop NLP & Advanced Techniques (Preferred) * Natural Language Processing (NLP)

Prosum Inc.

Machine Learning Engineer

CA · On-site

$75 - $89/hr

Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine ... Experience with predictive modeling, natural language processing (NLP), and large language models ...

Guru Schools

Machine Learning Engineer

Philadelphia, PA · Hybrid

Machine Learning Engineer Philadelphia, PA OR Washington, DC | Hybrid: 3-4 days/week 9 + Months ... GPT, LLMs, NLP, internet-developed tools Interview Process: 2 Rounds Skills: Design and validate ML ...

PitchBook

Machine Learning Engineer

Seattle, WA · On-site

... on NLP, summarization, semantic search, classification, and prediction. Contribute to the ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

Guru Schools

Machine Learning Engineer

Philadelphia, PA · On-site

Machine Learning Engineer Philadelphia, PA OR Washington, DC | Hybrid: 3-4 days/week 9 + Months ... GPT, LLMs, NLP, internet-developed tools Interview Process: 2 Rounds Skills: Design and validate ML ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify ... Familiarity with natural language processing (NLP) * Prior experience contributing to the ...

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural ... Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies. * Experience ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT

$150K - $200K/yr

Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... Experience working with large amounts of text data, NLP, or training LLMs * Demonstrated capability ...

ClifyX

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Strong experience in NLP, specifically topic modeling and text classification * Experience with ...

Dark Wolf

Machine Learning Engineer

Chantilly, VA · On-site

... NLP), Computer Vision, or Recommender Systems. • Experience with MLOps practices and tools for ... machine learning, and mission support and engineering services to the Intelligence Community ...

Dark Wolf

Machine Learning Engineer

Herndon, VA · On-site

... NLP), Computer Vision, or Recommender Systems. • Experience with MLOps practices and tools for ... machine learning, and mission support and engineering services to the Intelligence Community ...

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All JobsMachine Learning Engineer Nlp Jobs

Machine Learning Engineer Nlp information

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$31.5K

$128.8K

$193.5K

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

As of Jun 9, 2026, the average yearly pay for machine learning engineer nlp in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer NLP roles?

Machine Learning Engineer NLP roles focus on designing, building, and deploying machine learning models that process and understand human language. These engineers work with large datasets to train algorithms for tasks such as text classification, sentiment analysis, language translation, and chatbot development. They combine expertise in computer science, data science, and linguistics, using technologies like deep learning and natural language processing libraries. Their work enables computers to interpret, generate, and respond to human language in meaningful ways.

How does a Machine Learning Engineer specializing in NLP typically collaborate with data scientists and software engineers during a project?

Machine Learning Engineers focused on NLP often work closely with data scientists to translate research findings and experimental models into scalable, production-ready systems. They collaborate with software engineers to integrate NLP models into larger applications, ensuring efficient deployment and performance. Communication and teamwork are key, as engineers must balance model accuracy with system requirements, address technical challenges together, and iterate on solutions based on feedback from cross-functional teams.

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

AspectMachine Learning Engineer NlpData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops NLP models, deploys ML solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on NLP applicationsFinance, healthcare, marketing, and tech sectors analyzing large datasets

While both roles require strong data analysis skills and knowledge of machine learning, Machine Learning Engineer Nlp focuses on developing and deploying NLP models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ in their primary focus and responsibilities.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in NLP, and why are they important?

To thrive as a Machine Learning Engineer in NLP, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, spaCy, and Hugging Face Transformers, as well as experience with cloud platforms and version control systems, is crucial. Excellent problem-solving abilities, effective communication, and a collaborative mindset are standout soft skills in this role. These competencies enable the development, deployment, and optimization of NLP models that solve real-world language processing challenges efficiently and innovatively.
What states have the most Machine Learning Engineer Nlp jobs? States with the most job openings for Machine Learning Engineer Nlp jobs include:
Machine Learning Engineer Nlp jobs near you
Infographic showing various Machine Learning Engineer Nlp job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

HeyMilo AI

Manhattan, NY

Other

Posted 15 days ago

Job description

About the job Machine Learning Engineer
Job Title: Machine Learning Engineer
Company: HeyMilo AI
Location: New York, NY, USA
Contract Details: Full-time
HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.
Key Responsibilities:
- Design and implement machine learning models and algorithms to solve business problems
- Collaborate with data scientists to gather and preprocess data for model training and evaluation
- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment
- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- Work closely with cross-functional teams to integrate machine learning solutions into our products and services
- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 3 years of experience in developing machine learning models and algorithms
- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with software engineering best practices, including version control, testing, and code review
- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing and feature engineering techniques
- Strong problem-solving skills and ability to think creatively to come up with innovative solutions
- Excellent communication and teamwork skills
- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus
- Experience with natural language processing (NLP) and computer vision is a plus
At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.
If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.

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