14 of 14 Pinecone Jobs in the UK

QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE More ❯

QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE More ❯

QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE More ❯

QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE More ❯

QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE More ❯

MCP-first design principles. AI/ML Acumen: Strong foundational knowledge of modern AI concepts, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and vector databases (e.g., Qdrant, Pinecone, Weaviate). Data Integration: Hands-on experience designing data pipelines and integrating with diverse enterprise data sources (e.g., relational databases like PostgreSQL, unstructured document stores like SharePoint, APIs, and data More ❯

Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning. Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval. Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training. MLOps Principles More ❯

LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and secure deployment at scale Your code could power the next generation of travel - become More ❯

like travel, e-commerce, or hospitality Conversational interfaces, semantic search, or recommendation engines Ethical AI frameworks, GDPR, and trust-by-design principles Building AI features using tools like LangChain, Pinecone, or RAG architectures More ❯

like travel, e-commerce, or hospitality Conversational interfaces, semantic search, or recommendation engines Ethical AI frameworks, GDPR, and trust-by-design principles Building AI features using tools like LangChain, Pinecone, or RAG architectures More ❯

TotalAgility platform, with a focus on leveraging 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 Architecture : Incorporate cloud More ❯

BigQuery Data Engineering tools: Pyspark, Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring: Datadog About You We are looking for someone who can wear two hats - the data architect and the strategic business consultant More ❯

and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. Act as an AI thought More ❯

and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. Act as an AI thought More ❯