2 of 2 Permanent Azure Cognitive Search Jobs in the South East

impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other … Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance … scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage with stakeholders to understand needs and provide data-driven insights. Stay updated with emerging AI and More ❯

workflows, and GenAI services. The strategic direction is set and now it's time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search … teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions. Key Skills Required Expertise in LLM pipelines, embedding models, and vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps). Experience working in regulated environments, ideally within financial services. Nice to Have Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI, and secure deployment. Experience with PromptOps, cloud security, and deploying More ❯