Natural Language Processing Jobs
Natural Language Processing jobs are open across technology, healthcare, finance, and media, from new-grad NLP engineer to principal research scientist, with specializations in conversational AI, text classification, and machine translation. See the openings below and apply to the ones that match your experience.
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Toffler Associates
At Toffler Associates, our consultant's own the delivery of complex client work. You are accountable for the quality of the work, the health of the engagement, the performance of the team, and the strength of the client relationship.
All candidates will be required to work onsite in Bethesda, MD and require a TS//SCI with a CI Poly
How we expect you to show up
These behaviors are foundational to how we recruit, select, develop, and evaluate every practitioner at Toffler. Experience matters; how you use it matters more.
Team Before Self - Put team success ahead of individual recognition. Share knowledge, relationships, credit, and opportunities freely. Ask for help, offer it freely, and make the people around you better. Make choices that strengthen the team.
Quiet Professional - Lead through sound judgment, preparation, and performance. Earn credibility through the quality, not title, résumé, or personal visibility.
Humility - Remain curious and teachable regardless of experience. Seek and apply feedback, recognize blind spots and missteps, and adapt with openness and self-awareness.
Reliability - Consistently earn the trust of clients and teammates. Do what you say you will do. Communicate early, surface risks before they become problems, and make sure clients and teammates are never surprised.
Stewardship - Take responsibility for leaving the client, team, and firm stronger than you found them. Build relationships, capacity, and knowledge that last beyond the engagement.
What you'll bring
- An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph
- Bachelor's degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
- 8 or more years of work experience in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
-
Experiences should include, but not be limited to:
- Systems engineering and integration experience in complex, data‑intensive environments
- Knowledge of AI/ML (computer vision, NLP, predictive analytics, LLMs)
- Demonstrated experience with NLP methodologies such as text classification, named entity recognition, topic modeling, information extraction, or transformer‑based architectures
- Experience developing or evaluating NLP pipelines, including text preprocessing, tokenization strategies, model training, fine‑tuning, and optimization for mission environments
- Understanding of data architectures and pipelines for large‑scale analytics/intelligence production
- Familiarity with AI governance, data quality, bias mitigation, and mission assurance in operational NLP/LLM deployments
- Experience creating program plans, work breakdown structures, and milestone schedules
What would be nice to have
- Master's degree or PhD in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with FOUR (4) or more years of work experience
- Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition
- Experience managing a multi-disciplinary R&D or T&E team
- Experience as a Project Manager or Deputy Project Manager
- Experience with NLP development tools or frameworks such as Hugging Face, PyTorch, TensorFlow, spaCy, or similar libraries
- Ability to proactively manage multiple, concurrent tasks
- Excellent writing, slide development, and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources for technical and non-technical audiences
- Strong organizational, problem-solving, and time-management skills; detail oriented
Why Toffler
We are thinkers and doers.
For more than 30 years, Toffler Associates has helped leaders navigate consequential moments when the path forward is not obvious. Drawing from the legacy of Alvin and Heidi Toffler, we help clients see what is changing, understand what it means, and decide what to do about it.
Our work begins where the answer is not already known. We take on complex problems such as cross strategy, technology, organizations, operations, and people. We ask hard questions, challenge assumptions, bring different perspectives together, and work alongside our clients to turn ideas into action.
How we work matters. Toffler is collaborative, candid, and low-ego. We share what we know, remain open to being wrong, and take responsibility for the success of the whole team. We expect people to contribute beyond their individual role and to leave their clients, teammates, and the firm stronger because they were here.
We are looking for people who think deeply, act decisively, and make the people around them better. They are comfortable when the answer is not obvious, generous with what they know, and confident without needing recognition. Most importantly, they want to do meaningful work and leave something stronger behind.
Toffler Associates, Inc. complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Toffler Associates
At Toffler Associates, our consultant's own the delivery of complex client work. You are accountable for the quality of the work, the health of the engagement, the performance of the team, and the strength of the client relationship.
All candidates will be required to work onsite in Bethesda, MD and require a TS//SCI with a CI Poly
How we expect you to show up
These behaviors are foundational to how we recruit, select, develop, and evaluate every practitioner at Toffler. Experience matters; how you use it matters more.
Team Before Self - Put team success ahead of individual recognition. Share knowledge, relationships, credit, and opportunities freely. Ask for help, offer it freely, and make the people around you better. Make choices that strengthen the team.
Quiet Professional - Lead through sound judgment, preparation, and performance. Earn credibility through the quality, not title, résumé, or personal visibility.
Humility - Remain curious and teachable regardless of experience. Seek and apply feedback, recognize blind spots and missteps, and adapt with openness and self-awareness.
Reliability - Consistently earn the trust of clients and teammates. Do what you say you will do. Communicate early, surface risks before they become problems, and make sure clients and teammates are never surprised.
Stewardship - Take responsibility for leaving the client, team, and firm stronger than you found them. Build relationships, capacity, and knowledge that last beyond the engagement.
What you'll bring
- An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph
- Bachelor's degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
- 8 or more years of work experience in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
-
Experiences should include, but not be limited to:
- Systems engineering and integration experience in complex, data‑intensive environments
- Knowledge of AI/ML (computer vision, NLP, predictive analytics, LLMs)
- Demonstrated experience with NLP methodologies such as text classification, named entity recognition, topic modeling, information extraction, or transformer‑based architectures
- Experience developing or evaluating NLP pipelines, including text preprocessing, tokenization strategies, model training, fine‑tuning, and optimization for mission environments
- Understanding of data architectures and pipelines for large‑scale analytics/intelligence production
- Familiarity with AI governance, data quality, bias mitigation, and mission assurance in operational NLP/LLM deployments
- Experience creating program plans, work breakdown structures, and milestone schedules
What would be nice to have
- Master's degree or PhD in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with FOUR (4) or more years of work experience
- Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition
- Experience managing a multi-disciplinary R&D or T&E team
- Experience as a Project Manager or Deputy Project Manager
- Experience with NLP development tools or frameworks such as Hugging Face, PyTorch, TensorFlow, spaCy, or similar libraries
- Ability to proactively manage multiple, concurrent tasks
- Excellent writing, slide development, and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources for technical and non-technical audiences
- Strong organizational, problem-solving, and time-management skills; detail oriented
Why Toffler
We are thinkers and doers.
For more than 30 years, Toffler Associates has helped leaders navigate consequential moments when the path forward is not obvious. Drawing from the legacy of Alvin and Heidi Toffler, we help clients see what is changing, understand what it means, and decide what to do about it.
Our work begins where the answer is not already known. We take on complex problems such as cross strategy, technology, organizations, operations, and people. We ask hard questions, challenge assumptions, bring different perspectives together, and work alongside our clients to turn ideas into action.
How we work matters. Toffler is collaborative, candid, and low-ego. We share what we know, remain open to being wrong, and take responsibility for the success of the whole team. We expect people to contribute beyond their individual role and to leave their clients, teammates, and the firm stronger because they were here.
We are looking for people who think deeply, act decisively, and make the people around them better. They are comfortable when the answer is not obvious, generous with what they know, and confident without needing recognition. Most importantly, they want to do meaningful work and leave something stronger behind.
Toffler Associates, Inc. complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Natural Language Processing Jobs by Experience Level
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Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in natural language processing jobs.
- Proficiency in Python with hands-on experience using PyTorch or TensorFlow for model development
- Experience fine-tuning or deploying large language models such as BERT, GPT, or T5 variants
- Strong foundation in linguistics, tokenization, parsing, and text preprocessing techniques
- Familiarity with cloud platforms and ML infrastructure for training and serving NLP models at scale
- Bachelor's or master's degree in computer science, computational linguistics, or a related technical field
- Experience evaluating model performance using standard NLP benchmarks and metrics such as F1 and BLEU
Tips for Your Natural Language Processing Job Search
Tailor your resume to model types
Specify which architectures you've worked with, whether transformer-based models, sequence-to-sequence systems, or retrieval-augmented generation pipelines. Hiring managers scan for exact model families, not just 'deep learning experience,' so name them explicitly in each application.
Build a public GitHub with reproducible experiments
Recruiters and hiring teams for NLP roles almost always check GitHub. Publish notebooks that show data preprocessing, fine-tuning steps, and evaluation metrics. A well-documented repo on a domain-specific dataset demonstrates applied skill faster than any resume line.
Apply early to roles that fit
Migrate Mate lists natural language processing openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by domain before searching titles
NLP roles in clinical documentation differ sharply from those in customer support automation or legal contract analysis. Decide which domain aligns with your training data experience first, then search within that vertical to avoid wasting applications on mismatched stacks.
Prepare a live demo for technical screens
Many NLP interview loops include a take-home or live coding segment where you parse, tokenize, and evaluate a dataset on the spot. Practice explaining your tokenization choices and handling edge cases like out-of-vocabulary terms under time pressure before the interview.
Negotiate around compute access, not just salary
For NLP roles, GPU quota, cloud credits, and access to proprietary datasets directly affect your ability to ship work. Ask about infrastructure budget and model deployment ownership during offer discussions, since these shape your day-to-day productivity as much as compensation.
Natural Language Processing Jobs: Frequently Asked Questions
Which companies are hiring the most natural language processings?
The companies hiring the most natural language processings right now include JPMorganChase, SkyRyse, and Amazon, with the largest share of openings in Maryland, Virginia, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology, healthcare AI, and financial services.
How many natural language processing jobs are remote?
About 0% of natural language processing openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for research and engineering roles. Positions focused on model research and data annotation tend to offer the highest share of fully remote arrangements, while production engineering roles more often require some on-site presence.
How do you become a natural language processing?
Start by building a strong foundation in Python, linear algebra, and probability, then work through core NLP concepts including tokenization, embeddings, and sequence modeling. Fine-tune a pretrained transformer on a public dataset and publish your results. Formal education in computer science or computational linguistics helps, but a documented project portfolio and contributions to open-source NLP libraries carry significant weight with hiring teams.
How do you get hired in natural language processing with little experience?
Focus on a single, well-documented project that solves a concrete text problem, such as building a domain-specific named-entity recognizer or a sentiment classifier on a niche dataset. Apply to junior research engineer or NLP data analyst roles, which often have lower barriers than pure research positions. Contributing to open-source NLP libraries and sharing findings in public write-ups can substitute for formal industry experience.
What does the natural language processing interview process look like?
Most NLP interview loops begin with a recruiter screen followed by a technical phone interview covering Python, data structures, and basic ML concepts. A take-home assignment or live coding challenge typically involves preprocessing text, fine-tuning a model, and evaluating output quality. Final rounds usually include a research presentation or system design discussion where you explain architectural tradeoffs and walk through past project decisions with the engineering or science team.
Where can I find and apply to natural language processing jobs?
You can find and apply to natural language processing jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your background in model development, applied research, or NLP engineering, then apply directly to each listing that fits your experience and the domain you want to work in.
See All 9 Natural Language Processing Jobs
Find roles that match your experience and apply in just a few clicks.
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