Senior AIML Consultant
Senior AI / ML Consultant
We are looking for people that will guide us in our growth innovate and mentor. We need you to help us break and create the rules to continue to be a place admired for our people culture and innovation - and to help us in being a place that everyone wants to work and no one wants to leave!
The role will vary depending on the project but will primarily focus on the delivery of enterprise-level solutions in the Artificial Intelligence Data Science / Machine Learning and Data Engineering arena.
This is a client-facing position so the ideal candidate must be comfortable speaking with clients and some occasionaltravel.
Our offices are in Farnham and London. The role can be based at either location. Induction training and company meets are done at both offices. When we can we generally get together at either of the offices either a Wednesday ora Friday.
RESPONSIBILITIES
- Working on projects that utilise the Microsoft Azure technology stack across domains such as AI Data Engineering Data Science & Machine Learning.
- Satisfying the expectations and requirements of customers both internal and external
- Supporting others in their development
- Contributing to the internaland external community
- Industry experience in delivering Microsoft Azure solutions with a good grounding in all associated areas
- Proven written and spoken English
- Strategic and operational decision-making skills
- Outstanding interpersonal skills
- Ability and attitude towards investigating and sharing new technologies
- Ability to guide direct or influence people
- Ability to identify opportunities issues and risks
- Willingness to learn based on feedback
- Able to help others develop
- Ideally degree educated - computer science data analysis AI & Machine Learning etc
- Microsoft certified (nice to have)
TECHNICAL SKILLS
Peoples skills vary and thats 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 well help you get those!
Core:
- Data Manipulation (SQL Pandas Pyspark)
- Azure AI (Azure AI Foundry AI Search Document Intelligence AI Services)
- Data Science & Machine Learning (Databricks Python SKLearn XGBoost MLFlow EDA)
- Familiarity with LLMs (OpenAI Prompt Engineering LangChain)
- Relevant Azure Data & Computation services (ADLS ADF Databricks SQL Databases)
Supporting:
- Azure ML Services
- React / CSS / JavaScript
- Azure infrastructure
- R Powershell
- Kubernetes / Docker
- Tensorflow / Pytorch
Principles:
- Data Modelling
- Data Science
- Data Warehouse Theory
- Data Architecture
- Master Data Management
Key Words:
Azure - AI - Artificial Intelligence - ML - Machine Learning - Consultant - IT Consultancy - SQL - PySpark - Azure AI - AI Search - LLM - OpenAI - Data Science - Databricks - Python - AI Engineer - ML Engineer - AI Consultant - ML Consultant - Data Manipulation - SQL Databases
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 (Womens network) and our Employee Resource Groups which include Diversity and Inclusion Telefónica Tech Pride Neurodiversity ELEVATE (African and Caribbean heritage network) and Sustainability.
We dont believe hiring is a tick box exercise so if you feel that you dont match the job description 100% but would still be a great fit for role please get in touch.
Remote Work :
Yes
Employment Type :
Full-time
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