SpaCy Jobs in the South East

4 of 4 SpaCy Jobs in the South East

Conversational AI - Technical Trainer

london, south east england, united kingdom
Hybrid / WFH Options
Computappoint
for 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 More ❯
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AI & NLP Trainer

london, south east england, United Kingdom
Hybrid / WFH Options
FIND | Creating Futures
Lecturing 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 More ❯
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Artificial Intelligence Consultant - Global Media

london, south east england, United Kingdom
GL Global
Experience Strong background in Machine Learning, Deep Learning, NLP, and Computer Vision. Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, spaCy, or similar. Familiarity with Large Language Models (LLMs) and generative AI applications in media (e.g., content summarisation, auto-tagging, script generation). Expertise in Python More ❯
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Data Scientist – NLP, LLMs, & Prompt Engineering

london, south east england, United Kingdom
Careerwise
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 to … 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 workflows. More ❯
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