10 of 10 Faiss Jobs in the UK

Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance ...

Design and build end-to-end Gen AI pipelines using LLMs (Open AI, Azure Open AI, Anthropic) Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search) Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop scalable ...

AI Services (AWS, Azure, or GCP) ✔ Experience deploying production-grade AI solutions on enterprise platforms ⭐ Nice to Have ✔ Experience with Vector Databases: Pinecone Chroma FAISS ✔ Experience with Knowledge Graph technologies: Neo4j RDF Graph Databases ✔ Exposure to additional languages such as Java, C#, or JavaScript ✔ Open-source contributions, AI research, publications ...

expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing ...

e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face) Strong understanding of prompt engineering techniques and optimisation strategies Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) Practical experience with model evaluation, tuning, and performance optimisation Experience integrating AI solutions into APIs, microservices, and front-end applications Strong understanding of data ...

Real Time systems or high-frequency data processing Nice to Have Experience with LLM APIs (eg, OpenAI, open-source LLMs) Knowledge of vector databases (FAISS, Pinecone) Experience with Kubernetes and container orchestration Contributions to open-source or strong GitHub profile ...

engineering: retrieval strategies, chunking/indexing, hybrid search, grounding and hallucination mitigation. Applied AI/ML: hands-on with LLMs, embeddings and vector databases (FAISS/Milvus/Pinecone). LLMOps & evaluation: prompt pipelines, automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML. Cloud ...

Docker Kubernetes Infrastructure Automation ✔ APIs & Integration: REST APIs Event-Driven Architectures Messaging Platforms ⭐ Preferred Skills ✔ Graph Databases: Amazon Neptune RDF4J Neo4j ✔ Vector Databases: Pinecone FAISS ✔ Experience with: Informatica Talend dbt ✔ Exposure to: NLP Solutions AI/ML Platforms Customer Segmentation & Advanced Analytics ✔ Domain expertise in: Banking Insurance Mortgage Financial Services ...

experience working with Claude, OpenAI APIs, and open-source LLMs . Deep understanding of RAG architectures , embeddings, and vector databases (eg Pinecone, Weaviate, OpenSearch, FAISS). Demonstrable experience defining and applying AI governance and responsible AI frameworks . Strong knowledge of LLMOps , CI/CD for models, monitoring, observability ...

AI/GAI technologies and large language models (LLMs) Advanced AI Integration : Apply experience with retrieval-augmented generation (RAG), vector databases (e.g. Pinecone, Weaviate, FAISS), and enterprise search for AI-driven knowledge discovery Optimize AI Performance : Utilize practical experience designing structured prompts, fine-tuning models, and cost optimization strategies Cloud ...