2 of 2 Permanent SpaCy Jobs in England

Practical experience with graph machine learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face, BERT, Langchain). Hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills, particularly in addressing complex NLP challenges. Excellent communication and More ❯

GCP). Bonus qualifications Experience with graph databases such as Neo4j, Pinecone or Milvus or similar. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy or Transformers. Familiarity with machine learning concepts and the ability to work with NLP datasets. What you'll be doing Work with a groundbreaking AI platform solving real enterprise pain More ❯