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Nlp Engineer Jobs in Colorado (NOW HIRING)

EchoStar Corporation

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

  • Medical

  • Retirement

AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks ... Bachelor's Degree in Computer Science, Electrical Engineering, or a related field * Minimum ...

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It is an engineering role focused on building, deploying, and operating AI systems in a regulated ... Experience with RAG pipelines, LLMs, or NLP-based systems * Experience with AWS Bedrock or similar ...

Worky

Software Engineer Supporting AI ML

Denver, CO · On-site

$126 - $277/hr

  • Medical

  • Retirement

  • PTO

Software Engineer Supporting AI MLJob Category: EngineeringTime Type: Full timeMinimum Clearance ... NLP), large language models (LLMs), and more, you will be at the forefront of technological ...

New

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

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Showing results 21-40

All JobsNlp Engineer JobsNlp Engineer Jobs in Colorado

Nlp Engineer information

See Colorado salary details

$38.4K

$112.8K

$144.6K

How much do nlp engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for nlp engineer in Colorado is $112,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

What are the most commonly searched types of Nlp Engineer jobs in Colorado?

The most popular types of Nlp Engineer jobs in Colorado are:

What are popular job titles related to Nlp Engineer jobs in Colorado?

For Nlp Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Nlp Engineer jobs in Colorado look for?

The top searched job categories for Nlp Engineer jobs in Colorado are:

What cities in Colorado are hiring for Nlp Engineer jobs?

Cities in Colorado with the most Nlp Engineer job openings:

Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Colorado Springs, CO • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply