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Telefonica Tech

Cloud, cybersecurity and digital solutions

Senior AI Consultant

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Industry experience delivering artificial intelligence and/or data science and machine learning solutions, with grounding in associated areas.
  • Experience running discovery, solution-design, and other consultative workshops.
  • Experience managing technical and non-technical client stakeholders on projects and forming lasting relationships.
  • Experience contributing to early-stage client engagement and presales activities, such as technical demonstrations.
  • Understanding of project-management activities, including risk management and time tracking.
  • Active engagement in professional mentorship as both a mentor and mentee, including acting on constructive feedback and critically evaluating colleagues' performance to support career development.
  • Proven written and spoken English.
  • Ability to investigate and share new technologies.
  • Strategic and operational decision-making skills.
  • At least three core technologies and interest in at least four other technologies from the listed core, supporting, and principles areas.
  • Microsoft certification is nice to have but not mandatory.
  • Core technologies include Azure AI (Microsoft Foundry, AI Search, Document Intelligence, and AI Services); large language models and agentic AI concepts (prompt engineering, retrieval-augmented generation, LangChain, LangGraph, MCP, and tool use); data science and machine learning (Databricks, Python, scikit-learn, XGBoost, MLflow, and exploratory data analysis); Azure data and computation services (ADLS, Cosmos DB/NoSQL databases, ADF, Databricks, and SQL databases); data manipulation (SQL, Pandas, PySpark, and Python); and Azure DevOps.
  • Supporting technologies and areas include application development (Docker, Kubernetes, FastAPI, and React); MLOps lifecycle management (machine-learning monitoring, deployment, and retraining); Azure infrastructure and architecture design; data visualisation (Power BI and Tableau); and deep-learning technologies (TensorFlow and PyTorch).
  • Principles include agentic AI evaluation and observability; responsible AI and ethical risk management; data science and machine-learning theory; data-warehouse theory; and data architecture and modelling.

Responsibilities

  • Deliver projects using the Microsoft Azure technology stack across artificial intelligence, data science, machine learning, and advanced analytics.
  • Contribute to creating new AI- and data-science-based offerings by maintaining awareness of developments in the AI field.
  • Meet the expectations and requirements of internal and external customers.
  • Support others' professional development.
  • Contribute to internal and external communities.
  • Work on customer-facing projects and travel occasionally.

Desired Qualifications

  • A degree in computer science, data analysis, artificial intelligence, machine learning, or a similar field is ideally held.
  • Current Microsoft and/or Databricks certifications are useful but not mandatory.

About the Company

Telefonica Tech

Cloud, cybersecurity and digital solutions

Telefonica Tech is Telefonica's digital transformation company, helping organizations modernize technology and manage connected operations. Its capabilities span cybersecurity, cloud services, Internet of Things, big data and artificial intelligence, with specialists integrating platforms and services for business and public-sector customers. The company combines consulting, engineering, managed services and technology partnerships across international markets. Telefonica Tech is distinct from the parent telecom operator's consumer connectivity business, although it draws on the wider group's scale and infrastructure.

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