Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI/Data Engineering Consultant

Telefonica Tech
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Consultant

Senior Consultant, Data Engineer, AI&Data, UKI, London

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

Senior Consultant, Data Science & AI, Data & Analytics, Belfast, Derry/Londonderry

Job Description

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 occasional travel. 

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 or a 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 internal and external community 


Qualifications

  • 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 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: 

  • 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 



Additional Information

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.