10 of 10 Permanent Semantic Search Jobs in the South East

support secure AI applications, assistants, agents, knowledge systems and workflow automations using approved Microsoft, cloud-hosted and local platforms* Develop retrieval-augmented generation, semantic search and knowledge-management solutions that connect AI safely to approved systems, documents, databases and APIs* Design, deploy and govern Model Context Protocol servers … Practical experience designing, developing, deploying or supporting AI-enabled applications, integrations and workflow automations* Working knowledge of large language models, retrieval-augmented generation, semantic search, AI agents and Model Context Protocol* Experience deploying and operating applications across Linux systems, containers and virtual machines* Experience of monitoring, patching, backup ...

/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice to Have AWS certifications (ML/Architect) Experience with MLOps ...

modelling and automated assessment systems. Develop and maintain data pipelines, services and infrastructure. Contribute to new AI capabilities, including Large Language Models (LLMs), embeddings, semantic search and Retrieval-Augmented Generation (RAG). Deploy, monitor and troubleshoot production data and machine learning systems. Work collaboratively with software engineers, data ...

OpenAI or similar platforms, with exposure to techniques and frameworks such as retrieval‐augmented generation (RAG), Model Context Protocol (MCP) vector databases and embeddings, semantic search and agentic workflows. Full‐stack engineering, building web applications, dashboards, APIs and internal tools using established languages (JavaScript/Java/Python … productivity and business outcomes. Developing solutions on Microsoft Azure including App Services, Functions, Storage and managed database services, Azure AI Foundry and Azure AI Search Building and operating production services with appropriate monitoring, alerting, logging and observability tooling (e.g. New Relic), using platforms such as. Event‐driven architectures, messaging ...

scale GCP data platforms using BigQuery, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, BigLake and Cloud Storage. Develop architectures supporting GenAI, RAG, vector search, embeddings and Agentic AI platforms using Vertex AI and related technologies Define data models and integration patterns for Domain and Cross-Domain Digital Twins. … 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: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governance AI & Data Intelligence: RAG architectures, Vector ...

Experience We are particularly interested in candidates with experience or strong knowledge of: Multi-agent or agent-based solution architectures Retrieval-augmented generation and semantic search Data correlation and entity-relationship mapping Network telemetry and real-time operational data Vector or graph databases Context management and token optimisation ...

enterprise-scale GCP data platforms using BigQuery, Spanner Graph DB, Dataplex, Dataflow, Pub/Sub, BigLake and Cloud Storage.Develop architectures supporting GenAI, RAG, vector search, embeddings and Agentic AI platforms using Vertex AI and related technologiesDefine data models and integration patterns for Domain and Cross-Domain Digital Twins.Define integration … large-scale cloud-native data platforms.Google Cloud Expertise including: BigQuery, Dataflow, Pub/Sub Dataplex, BigLake, Cloud Storage, Vertex AI, Cloud Composer, SpannerKnowledge Graph & Semantic ModellingData Engineering: ETL/ELT pipelines, Real-time streaming architectures, Event-driven platforms, Data observability and governanceAI & Data Intelligence: RAG architectures, Vector databases, Embedding ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

involved in Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products. Develop AI capabilities spanning document intelligence, semantic search, Retrieval-Augmented Generation (RAG) and intelligent agents. Use tools such as Claude Code and Codex to accelerate development, applying sound judgement to testing ...

/CD. Strong diagnostic skills and sound technical judgement. Some practical experience of AI development tools and LLM-based features, including retrieval, semantic search or agents. The ability to guide technical discussions and support colleagues. The technology stack includes Vue 3, PostgreSQL, Azure DevOps and real‐time messaging. ...