6 of 6 Faiss Jobs in the UK excluding London

such as Azure ML, AWS SageMaker, Vertex AI, Databricks, Modal, and Fly.io. Deploy and manage vector databases and embedding stores, including Pinecone, Weaviate, Milvus, FAISS, ChromaDB, and pgVector. Implement LLMOps/PromptOps practices using tools such as: Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix Benchmark, evaluate ...

consumer behavioural or market data is desirable. Comfortable working within agile engineering teams and enterprise environments. Desirable Skills Experience with vector databases such as FAISS, Pinecone, or Weaviate. Knowledge of enterprise scale Retrieval Augmented Generation systems. Experience within global manufacturing, engineering, or industrial environments. Understanding of data governance, security ...

AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). Expertise in prompt engineering, fine-tuning techniques, and vector databases (Pinecone, FAISS, ChromaDB). Strong understanding of transformer architectures and attention mechanisms. Experience deploying AI applications on cloud platforms (AWS, Azure, GCP) and containerisation tools (Docker, Kubernetes ...

Anthropic, or similar). Expertise in GenAI frameworks (LangChain, LlamaIndex, Haystack, Hugging Face Transformers). Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate), and chatbot deployment. Proven experience with agentic AI (tool use, planning, multi-step reasoning) and production-level systems. Experience delivering AI solutions in real ...

integrating retrieval systems with large language models. Build and maintain applications using LangChain to orchestrate complex AI workflows. Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast similarity search and retrieval. Develop embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face. Collaborate … large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face). Familiarity with LangChain for building LLM-powered applications. Ability to create ...

evaluation, tuning, and optimization. Work with LLM architectures and frameworks (OpenAI, Anthropic, LangChain, LlamaIndex) to build scalable and intelligent applications. Utilize vector databases (e.g., FAISS, Azure AI Search) and embedding models for semantic search and retrieval tasks. Execute and iterate on PoCs rapidly to evaluate feasibility and solution effectiveness. Collaborate …/Authorization (OAuth2, JWT, Azure AD) NLP techniques (NER, classification, chunking, summarization, QA) RAG architectures and working with LLMs (OpenAI, Anthropic, etc.) Vector databases (FAISS, Azure AI Search ...