NLP Engineer: Career Path

An NLP Engineer is a specialized software engineer focused on the development and implementation of algorithms and models that enable machines to understand, interpret, and generate human language. This role involves a blend of linguistics and computer science, leveraging techniques in machine learning and artificial intelligence to create applications such as chatbots, voice assistants, and language translation systems.

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What does the NLP Engineer career path entail?

Pursuing a career as an NLP Engineer is a wise choice for those passionate about the intersection of language and technology. The demand for NLP expertise is rapidly growing as more industries recognize the value of intelligent language processing in enhancing user experiences and operational efficiency. This career offers the opportunity to work on cutting-edge projects that push the boundaries of what machines can achieve in understanding human language. Additionally, NLP Engineers often have the chance to collaborate with interdisciplinary teams, providing a dynamic and intellectually stimulating work environment. As businesses continue to integrate AI-driven solutions, the role of an NLP Engineer is becoming increasingly pivotal, ensuring a wealth of job opportunities. Moreover, this field encourages continuous learning and innovation, making it ideal for those who enjoy problem-solving and creative thinking.

Best books to explore the Natural Language Processing career path.

A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.

These are our and our experts top picks to get started building career-relevant skills.

Foundations of Statistical Natural Language Processing

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. ...

Handbook of Natural Language Processing

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. ...

Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python

SummaryNatural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Purchase ...

Natural Language Understanding

From a leading authority in artificial intelligence, this book delivers a synthesis of the major modern techniques and the most current research in natural language processing. The approach is unique in its coverage of semantic interpretation and discourse alongside the foundational material in syntactic processing.

Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. ...

Natural Language Processing with Python

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. ...

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Courses to deepen your Natural Language Processing skills.

These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.

Our experts recommend these courses, from free selections to paid programs.

NLP Practitioner Training (Neuro-Linguistic Programming)

Know Your Psychology | Learn Effective NLP Productivity Strategies | Develop a Mature Mindset | Foster Inner Resilience

iGNLP™ Certified NLP Practitioner (Associate)

NLP Get the only Genuine 100% iGNLP™ Accredited - NLP Practitioner Certification Recognised Globally

NLP Practitioner & NLP Master Practitioner Cert (ACCREDITED)

The ONLY Combined NLP Practitioner & NLP Master Practitioner Certification Course on this platform - 2 Courses in 1!

Neuro-Linguistic Programming Master Practitioner (Advanced)

Advanced NLP and Mindset Development | Influential Communication Skills | Outcome Focused Goal Setting | NLP for Leaders

Get help with your learning journey

Learning through online courses can be challenging. Get 1:1 guidance from an experienced mentor who can help you stay accountable and answer your questions along the way.

NLP Practitioner & NLP Life Coach Certification (Accredited)

NLP Certification & Ultimate Guide. Become a Certified NLP (Neuro Linguistic Programming) Practitioner & NLP Life Coach

NLP - Neuro Linguistic Programming - Your Ultimate Guide To NLP

This free online Neuro Linguistic Programming (NLP) course will teach you how the link between the mind, language and behavioral patterns can be adapted to help build confidence, develop better communication skills and reprogram old ways of thinking. You will learn about ‘modeling’ and how by adapt…

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There is no better source of accountability and motivation than having a personal mentor. What used to be impossible to find is now just two clicks away! All mentors are vetted & hands-on!

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I know what it’s like to try to break into data science. In September 2014, I drove to San Francisco from my home in New Haven, CT to attend a data science bootcamp with dreams of landing a job in the field. Two data science positions later I began teaching …

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I’m Amin, a Machine Learning Engineer at Google with expertise in data science, data engineering, recommender systems, generative AI, and the full machine learning engineering (MLE) workflow. My diverse experience helps me guide aspiring professionals with practical, real-world insights. I believe in empowering my mentees to succeed. Whether you’re transitioning …

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Key points - Mastering Data Science, Bioinformatics, Machine Learning, and Statistics with my expert guidance. - Balancing academia and real-world expertise, I bring a strong technical background to the mentorship. - Navigate the field with confidence as I guide you from the ground up, tailored for beginners. - Transition seamlessly …

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Mohamed Elrfaey — Technology Leader, Innovator, and Mentor With over 18 years of experience in software development, technology management, and entrepreneurship, I specialize in building high-performance teams that deliver cutting-edge solutions and amplify ROI. My expertise spans e-commerce, cloud computing, machine learning, security, and financial markets. At Amazon Canada, I …

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I'm a quantitatively oriented data science leader with around a decade of industry experience applying machine learning techniques, designing and implementing large-scale data systems that allow organizations to make data-driven decisions and gain actionable insights and business knowledge to solving real-world problems across multiple domains. In my role as a …

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My name is Björn Wilmsmann. I’m an independent IT consultant, trainer, and author (Stratospheric - From Zero to Production with Spring Boot and AWS: https://stratospheric.dev/). I design and develop business solutions, enterprise applications, and web apps.

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Growing into a Senior NLP Engineer role pays off – $38,000 up to per year.

Not only is the progression from individual NLP Engineer to a Senior role a natural progression, it also makes all the difference in your average salary.

On a global average, Senior NLP Engineer receive a $38,000 salary hike over entry-level NLP Engineers when they go from individual contributor to senior personnel.

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Get the help you need & advance your career

Becoming an NLP Engineer offers a fulfilling career path for those interested in language and technology. With the continuous advancements in AI, the role promises to remain both challenging and rewarding. Embracing this career means contributing to the future of intelligent systems that improve communication and understanding across the globe.