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# Senior AI/Data Science Consultant

- **Company:** The Borough
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Software Design Patterns, DevOps, Python (Programming Language), Machine Learning, Software Safety, Search Technologies, Openapi, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Kubernetes, Information Technology, Data Lineage, Machine Learning Operations, Virtual Agents
- **Published:** September 21, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-aidata-science-consultant/47807243

## About the Role

experience building and deploying Generative AI and Agentic AI solutions into productionExpertise in LLMs, advanced RAG strategies, prompt engineering, and model evaluation approachesHands-on experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI-based integrationStrong Python development skills and knowledge of CI/CD, DevOps, and cloud-native architecturesPractical experience with Azure (Azure OpenAI, Azure AI Foundry, AI Search) and familiarity with AWS or GCPProficiency with containerized deployment, MLOps tooling (MLFlow, Airflow), and infrastructure-as-code practicesBachelor's or Master's degree in Computer Science, Data Science, or related fieldExperience with Azure AI Agent Service or Microsoft Agent FrameworkFamiliarity with vector databases (Pinecone, Weaviate, Qdrant, Milvus)Knowledge of AI safety techniques such as guardrails, bias mitigation, and model
explainabilityUnderstanding of Intelligent Document Processing, data lineage, and distributed memory for agent systemsExperience enabling responsible and auditable AI governance

## Description

OpenAI Agents SDKCreate orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsBuild RAG pipelines with embeddings, chunking strategies, hybrid search, retrieval evaluation, and enterprise data groundingArchitect reusable AI design patterns including human-in-the-loop workflows and multi-agent coordination modelsApply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC)Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectationsEnsure delivery adheres to AI governance, data privacy, and regulatory frameworksSupport pre-sales activities through technical solutioning, demos, and PoC developmentApply observability and monitoring using tools like Langfuse, Arize, and OpenTelemetryContribute to architecture decisions and technical standards across engagements6+ years in AI/ML engineering, data science, or applied AI roles within professional services or enterprise environmentsProven


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