12 of 12 NLTK Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯