10 of 10 Remote Pinecone Jobs in the UK

Essential Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to More ❯

Essential Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to More ❯

practices and high-quality outputs. Skills & Experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps More ❯

practices and high-quality outputs. Skills & Experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps More ❯

ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and More ❯

ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use cases. Contribute to the creation of a strategic AI adoption roadmap and More ❯

Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt). Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma). Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines. Experience with Large Language Models More ❯

DevOps & tooling (Git, CI/CD, API integration), front-end & visualization (Streamlit, Gradio, React), and cloud environments (AWS/GCP/Azure). Experience with vector and graph databases (Pinecone, FAISS, Neo4j). Understanding of model evaluation metrics and automation techniques. Awareness of AI ethics and responsible AI practices. Bachelor's, Master's, or PhD in Computer Science, Engineering, or More ❯

experience with GraphRAG or Graph-based RAG architectures. Proficiency in Python and frameworks like LangChain, Semantic Kernel, or similar. Hands-on with graph databases (Neo4j, TigerGraph) and vector DBs (Pinecone, Weaviate, FAISS). Knowledge of LLMs, prompt engineering, and retrieval optimization. Familiarity with knowledge graph construction, entity linking, and graph algorithms. Must have full right to work and live in More ❯

Open Banking APIs (TrueLayer, Yapily, etc.) to securely connect and manage financial data. Design and implement pipelines to analyse transaction data and user conversations using embeddings and vector databases (Pinecone, Qdrant, etc.). Ensure best practice in data security and compliance, including OAuth2, GDPR, and encrypted storage. Collaborate closely with founders and product to shape features, scale infrastructure, and make … integrating Open Banking APIs (TrueLayer, Yapily, Salt Edge, etc.). Hands-on experience with AI/LLM-powered systems — especially embedding models (OpenAI, Cohere, Sentence Transformers) and vector databases (Pinecone, Weaviate, FAISS, Chroma). Strong understanding of secure data practices and compliance standards. Excellent communicator — able to translate complex technical ideas to non-technical founders. Calm, methodical, and collaborative — a … with occasional meetups in London. Work alongside founders who value autonomy, communication, and long-term impact over quick fixes. Tech Stack Snapshot React Native • Node.js/FastAPI • TypeScript • PostgreSQL • Pinecone/Qdrant • OpenAI/Cohere APIs • TrueLayer/Yapily (Open Banking) • AWS This role suits someone who’s built apps end-to-end, thrives on ownership, and is ready to More ❯