Asks for

The ad says“Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases)”
The ad says“Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Agentic AI evaluation & observability”
The ad says“Azure infrastructure & Architecture design”
The ad says“Azure AI (Microsoft Foundry, AI Search, Document Intelligence, AI Services)”
The ad says“Azure DevOps”
The ad says“Azure infrastructure & Architecture design”
The ad says“Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases)”
The ad says“Data architecture & modelling”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“Data science / machine learning theory”
The ad says“Data warehouse theory”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“Application Development (Docker, Kubernetes, FastAPI, React)”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“Responsible AI & ethical risk management”
The ad says“Application Development (Docker, Kubernetes, FastAPI, React)”
The ad says“Application Development (Docker, Kubernetes, FastAPI, React)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“Data science / machine learning theory”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“MLOps Lifecycle Management (ML monitoring, deployment, retraining)”
The ad says“Data architecture & modelling”
The ad says“Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases)”
The ad says“Agentic AI evaluation & observability”
The ad says“Data Manipulation (SQL, Pandas, Pyspark, Python)”
The ad says“Data Visualisation (Power BI, Tableau)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Data Manipulation (SQL, Pandas, Pyspark, Python)”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“Deep Learning Technologies (Tensorflow / Pytorch)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Application Development (Docker, Kubernetes, FastAPI, React)”
The ad says“Responsible AI & ethical risk management”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”
The ad says“Data Manipulation (SQL, Pandas, Pyspark, Python)”
The ad says“Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases)”
The ad says“Data Visualisation (Power BI, Tableau)”
The ad says“Deep Learning Technologies (Tensorflow / Pytorch)”
The ad says“Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)”
The ad says“Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)”

Company Description

Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities.

We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany.

The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking.

Values: Open, Trusted and Bold

Trusted Partners:

Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner
HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year
Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio
Fortinet: Elite VIP Program – one of only 2 in the UK
AWS: Advanced Solution & Managed Service Provider Program

Job Description

Senior AI Consultant

ROLE

This role focuses on designing and delivering AI, data science, and advanced analytics solutions using the Microsoft Azure technology stack. You will work on projects spanning AI, machine learning, and data platforms for customers, taking responsibility from problem definition through to production delivery.

Alongside hands-on technical work, you will help guide technical direction, support the development of others, and contribute to both internal and external communities. The role suits someone who enjoys solving complex problems, working closely with stakeholders, and continually developing their skills as technologies evolve.

This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and some occasional travel.

RESPONSIBILITIES

Delivering projects that utilise the Microsoft Azure technology stack across domains such as AI, Data Science & Machine Learning & advanced analytics
Contributing to the creation of new AI- and data science-based offerings based on maintaining an awareness of ongoing developments in the AI field
Satisfying the expectations and requirements of customers, both internal and external
Supporting others in their professional development
Contributing to the internal and external community

PROFESSIONAL EXPERIENCE

In order to be as effective as possible in this role, you should be comfortable utilising the following capabilities and experience in both client-facing and internal projects

Industry experience in delivering AI and or DS & ML solutions, with a good grounding in all associated areas
Running discovery, solution design and other consultative workshops
Managing technical and non-technical client stakeholders as part of projects and forming lasting relationships
Contributing to early-stage client engagement and presales activities, e.g. technical demonstrations
Good understanding of project management activities, e.g. risk management, time-tracking
Active engagement in professional mentorship as both mentor (able to take and act on constructive feedback) and mentee (critically evaluate performance of colleagues to support career development)
Proven written and spoken English with outstanding interpersonal skills
Ability and attitude towards investigating and sharing new technologies
Strategic and operational decision-making skills
Ideally degree educated - computer science, data analysis, AI & Machine Learning etc
Microsoft certified (nice to have)

Qualifications

TECHNICAL SKILLS

People’s skills vary and that’s great because the role varies. You should be comfortable with at least 3 of the core technologies below and have an interest in at least 4 others within the core/supporting/principles. Current Microsoft / Databricks certifications are useful but not mandatory – we’ll help you get those!

Core:

Azure AI (Microsoft Foundry, AI Search, Document Intelligence, AI Services)
Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use)
Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA)
Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases)
Data Manipulation (SQL, Pandas, Pyspark, Python)
Azure DevOps

Supporting:

Application Development (Docker, Kubernetes, FastAPI, React)
MLOps Lifecycle Management (ML monitoring, deployment, retraining)
Azure infrastructure & Architecture design
Data Visualisation (Power BI, Tableau)
Deep Learning Technologies (Tensorflow / Pytorch)

Principles:

Agentic AI evaluation & observability
Responsible AI & ethical risk management
Data science / machine learning theory
Data warehouse theory
Data architecture & modelling

Additional Information

At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger.

Be yourself with us, and feel that you belong.

We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation.

We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability.

We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.