18 of 18 Permanent NLTK Jobs

multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and More ❯

multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and More ❯

MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. More ❯

applications, especially in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python Excellent communication skills Preferred Qualifications & Skills: If you have the following More ❯

Engineering; C1/C2 level of English (French B1+ preferred); Excellent knowledge of Python , Matlab , R and its NLP/ML libraries (SpaCy/NLTK/scikit-learn/pandas); Excellent knowledge of machine learning techniques and algorithms (k-NN/Naive Bayes/SVM/Decision Forests/Neural More ❯

or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for pre-processing, fine More ❯

experience (Lecturer/Tutor/Trainer/Teacher/Educator/Professor/Instructor) NLP & Conversational AI experience (Dialogflow, Microsoft Bot Framework, Rasa, spaCy, NLTK, Transformers etc.) Python fluency Industry experience within Data & AI (Data Scientist/Analyst/Machine Learning etc) This is a hybrid working role – you’ll More ❯

experience (Lecturer/Tutor/Trainer/Teacher/Educator/Professor/Instructor) NLP & Conversational AI experience (Dialogflow, Microsoft Bot Framework, Rasa, spaCy, NLTK, Transformers etc.) Python fluency Industry experience within Data & AI (Data Scientist/Analyst/Machine Learning etc) This is a hybrid working role – you’ll More ❯

D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques Demonstrated experience using Jira, Confluence, and GitHub for More ❯

SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical More ❯

Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like Tableau or PowerBI. Experience working with LLMs. Experience working More ❯

eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. Familiarity with various log formats such as More ❯

Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). Published research in areas of machine learning at major conferences and/or journals. If some of the above doesn't line up More ❯

pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading university, or More ❯

London (Fully remote) Our client is a global company which requires a talented prompt engineer Deep Python skills, LLMs or SSMs, NLP libraries like NLTK, SpaCy or text blob, etc Prompt Eng: zero-shot, few-shot, chain-of -thought and meta-prompting Required experience: - Strong data prep and analysis experience More ❯

scale that uses Natural Language Processing and Artificial Intelligence that needs production quality deployment, monitoring, reliability and availability. Our tech stack currently uses Python, NLTK, GPT-3 and Dart/Flutter. Experience and passion in all or any of these is a must. Senior role: This is a senior role. More ❯

designing, evaluating, and optimizing AI systems that generate high-quality, context-aware responses. Key Responsibilities: Develop and deploy NLP solutions using libraries such as NLTK , SpaCy , and TextBlob . Engineer prompts for LLMs using zero-shot , few-shot , chain-of-thought , and meta-prompting techniques. Design and refine targeted prompts … experiments and fine-tune prompts to enhance response relevance, coherence, and factual correctness. Required Qualifications: Proven experience with Python and NLP libraries such as NLTK , SpaCy , TextBlob , or similar. Hands-on experience working with LLMs (e.g., OpenAI, Claude, Mistral, etc.) . Deep understanding of prompt engineering strategies and conversational AI More ❯

designing, evaluating, and optimizing AI systems that generate high-quality, context-aware responses. Key Responsibilities: Develop and deploy NLP solutions using libraries such as NLTK , SpaCy , and TextBlob . Engineer prompts for LLMs using zero-shot , few-shot , chain-of-thought , and meta-prompting techniques. Design and refine targeted prompts … experiments and fine-tune prompts to enhance response relevance, coherence, and factual correctness. Required Qualifications: Proven experience with Python and NLP libraries such as NLTK , SpaCy , TextBlob , or similar. Hands-on experience working with LLMs (e.g., OpenAI, Claude, Mistral, etc.) . Deep understanding of prompt engineering strategies and conversational AI More ❯