13 of 13 Permanent Milvus Jobs in England

hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage ...

semantic technologies: Neo4j, Amazon Neptune, Stardog, GraphDB, RDF, OWL, SPARQL AI/ML data infrastructure: vector databases and search platforms such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature stores such as Feast or Tecton; model lifecycle and experiment tracking tools such as MLflow Personal attributes ...

hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that ...

Security First" approach to the software development lifecycle (SDLC). Desirable: AI & Data Underpinnings Vector Databases: Experience with high-dimensional data retrieval using Milvus, Weaviate, or Pinecone (essential for RAG architectures). Data Orchestration: Familiarity with Airflow, Prefect, or Dagster for managing complex data movement and model training pipelines. ...

Repos Boards Pipelines Experience with Databricks model training and inference workflows Databricks Apps and Lakebase Experience with RAG pipelines Experience with vector databases (Weaviate, Milvus) Familiarity with LLM evaluation frameworks (e.g. DeepEval) Soft Skills Strong sense of ownership and accountability Strong stakeholder management skills Proactive attitude and ability ...

following technologies is highly desirable: Frameworks/Infrastructure Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Libraries Pandas Polars Engineering Skills Experience building scalable backend systems. Experience designing data models and storage architectures. Strong understanding of data ...

Scalable cloud-based AI deployment Experience with technologies such as LangGraph, LangChain, LlamaIndex, AutoGen, Google Vertex AI, Gemini, BigQuery, Qdrant, ChromaDB, Pinecone, Weaviate or Milvus would be valuable. Network Programmability Hands-on network programmability experience is not essential , but you should understand the technologies and tools likely ...

NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust)MLOps & LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector)• Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks• Exposure to fine-tuning, RLHF, or SLM distillation is a strong ...

NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps • Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector) • Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks • Exposure to fine-tuning, RLHF, or SLM distillation is a strong ...

with Digital Twin platforms Experience with Knowledge Graph implementations Data Mesh architectures LangChain, LangGraph and LlamaIndex Vertex AI and Gemini Vector databases (Pinecone, Weaviate, Milvus, Qdrant) Kubernetes and GKE Autonomous Network and AI-Ops programmes If you're excited about this role but don’t meet every requirement ...

experience with: Agentic AI and multi-agent systems. LangChain, LangGraph or similar orchestration frameworks. Retrieval-Augmented Generation (RAG). Vector Databases (pgvector, Pinecone, Weaviate, Milvus, etc.). Model Context Protocol (MCP). FastAPI or modern Python backend frameworks. CI/CD and MLOps practices. Building production AI systems ...

/CD, and MLOps tooling (MLFlow, Airflow)Nice to haveExperience with Microsoft Agent Framework, Azure AI Agent ServiceKnowledge of vector databases (Pinecone, Weaviate, Qdrant, Milvus)Familiarity with guardrail and AI safety techniques (output filtering, prompt injection defense)Experience in distributed systems, event-driven architectures, and workflow enginesPrior involvement ...

Domain ExperienceNice-to-Have QualificationsExperience with Digital Twin platformsExperience with Knowledge Graph implementationsData Mesh architecturesLangChain, LangGraph and LlamaIndexVertex AI and GeminiVector databases (Pinecone, Weaviate, Milvus, Qdrant)Kubernetes and GKEAutonomous Network and AI-Ops programmesIf you're excited about this role but don’t meet every requirement, we still encourage ...