8 of 8 Google Gemini Jobs in the Thames Valley

have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape ...

Proficiency in Python or an equivalent scripting language for investigation tooling, automation, and data analysis. Hands-on experience with AI-assisted development tooling (Anthropic, Google Gemini, OpenAI, or similar). Strong cross-functional communication skills: able to summarise a complex technical investigation clearly for both engineering teams ...

strong security architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This is a rare opportunity for someone who wants to remain technically hands-on while ...

Enough full‐stack ability to build and ship the web tools around your services, and comfort using agentic tools such as Claude Code or Gemini to do it. Clear communication: you can turn complex technical risk into precise guidance for leadership and peers. We care more about ...

candidate has a strong security architecture background with application security and AI/LLM security architecture experience, and practical exposure to Vertex AI/Gemini, #J-18808-Ljbffr ...

agent reasoning AI model performance, latency and inference-cost optimisation 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 ...

agent reasoning AI model performance, latency and inference-cost optimisation 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 ...

data, AI and autonomous network platforms Your profile 10+ years in enterprise data architecture with 5+ years designing large-scale cloud-native data platforms. Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, Spanner Knowledge Graph & Semantic Modelling Data Engineering … Nice-to-Have Qualifications Experience 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 ...