Senior AI Consultant

About the role

Telefónica Tech, part of the Telefónica Group, is looking for a Senior AI Consultant in London. The role focuses on designing and delivering AI, data science and advanced analytics solutions using the Microsoft Azure technology stack, covering projects on AI, machine learning and data platforms for customers. It is client-facing, with some occasional travel, and involves guiding technical direction, supporting colleagues and contributing to internal and external communities.

Key responsibilities

• Deliver projects using the Microsoft Azure stack across AI, data science, machine learning and advanced analytics
• Help create new AI and data science offerings while keeping up with developments in the AI field
• Satisfy the needs of internal and external customers
• Support the professional development of others and contribute to internal and external communities

Required profile

• Experience delivering AI and/or data science and machine learning solutions, with a good grounding in the related areas
• Comfortable running discovery, solution design and other consultative workshops
• Manages technical and non-technical client stakeholders and contributes to early-stage client engagement and presales, such as technical demonstrations
• Good understanding of project management activities such as risk management and time tracking
• Active engagement in professional mentorship as both mentor and mentee
• Proven written and spoken English, strong interpersonal skills and openness to new technologies
• Ideally a degree in computer science, data analysis, AI or machine learning; Microsoft certification is a plus

Required skills

• At least 3 of the core technologies listed, with interest in at least 4 others
• Core: Azure AI (Foundry, AI Search, Document Intelligence, AI Services), LLMs and agentic AI concepts (prompt engineering, RAG, LangChain, LangGraph, MCP, tool use)
• Data science and machine learning (Databricks, Python, scikit-learn, XGBoost, MLflow, exploratory data analysis)
• Azure data and computation services (ADLS, Cosmos DB, ADF, Databricks, SQL databases)
• Data manipulation (SQL, pandas, PySpark, Python); Azure DevOps
• Supporting: Docker, Kubernetes, FastAPI, React, MLOps, Power BI, TensorFlow/PyTorch, responsible AI and data architecture principles