15 of 15 Permanent SpaCy Jobs in London

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 ❯

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 ❯

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. Experience More ❯

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 characteristics, it would be a More ❯

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 ❯

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 ❯

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 with More ❯

on Mesh-AI, our customers, and your team. Nice to Have NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning. PySpark, OpenCV, spaCy or DVC. Exposure to MLOps. Why Mesh-AI Fast-growing start-up organisation with huge opportunity for career growth. Highly competitive salary package along with More ❯

models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow. • Hands-on experience working with Large Language Models (LLMs) and deploying them in production. • Advanced Python skills, with the ability to develop and More ❯

DataOps/MLOps experience would be valued. Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages More ❯

or RLHF. 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 More ❯

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 ❯

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 ❯

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 ❯

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 ❯