4 of 4 Vertex AI Jobs in the Thames Valley

platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Your Role This role focuses on designing and building the AI brain for autonomous network operations. The AI/LLM Engineer will develop LLM-based agents, RAG systems, multi-agent workflows, semantic search … modelling. Predictive analytics and AIOps. Closed-loop triggers. Prompt engineering and context optimisation. AI observability and evaluation. Preferred Certifications Google Cloud AI/ML or Vertex AI certification. Azure AI Engineer or AWS Machine Learning certification. Databricks, BigQuery, or data ...

specialized role focused on designing and implementing autonomous network use-case solutions for mobile & fixed telecommunications environments, network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks (Google Vertex AI or similar, LangGraph, LangChain). Your Profile … other modern APIs Autonomous Networks : Demonstrated expertise in self-optimizing/self-healing network implementations Portfolio of successful autonomous network use cases Agentic AI & Data Optimization : Data correlation and entity relationship mapping Data quality assessment and cleansing methodologies Token optimization techniques for LLM-based agents Resource-constrained AI ...

vendor-specific APIs. Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging. Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI … Azure certification. Cisco, Juniper, Nokia, or Ericsson automation-related certifications. TM Forum Open API certification. Nice-to-Have Qualifications Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms. Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks. Experience with ServiceNow, Netcracker ...

network operations. The OSS & AIOps Engineer will work on inventory intelligence, alarm correlation, fault management, performance KPI modelling, data aggregation, event processing, and AI-assisted assurance workflows across mobile, fixed, transport, cloud, and service domains. Key Responsibilities Design and implement OSS intelligence capabilities for autonomous network operations. Build … Support AIOps use cases including anomaly detection, fault prediction, incident prioritisation, event correlation, and service impact analysis. Integrate OSS platforms with data pipelines, AI/ML platforms, orchestration platforms, and automation engines. Develop data aggregation pipelines from EMS/NMS, assurance tools, inventory systems, telemetry platforms, ticketing systems ...