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

Apply Now

WeDo | Azure Cloud Consultant/Architect

WeDo
London
9 months ago
Applications closed

Related Jobs

View all jobs

Applied AI & Data Scientist

Data Science Manager

Senior Data Scientist

Senior Machine Learning | AI Engineer

Senior Machine Learning | AI Engineer

Clinical Scientist in Artificial Intelligence | Guy's and St Thomas' NHS Foundation Trust

WeDo has partnered with a leading Microsoft Gold Partner that has seen tremendous growth in recent years.The role......they are in need of Azure Cloud Consultant/Architect that are both technically astute as well as having great communication and stakeholder management skills. You will be afforded the opportunity to work on some brilliant enterprise Azure transformations and ensuring the success in an end to end capacity.What will you be doing....Work with the pre-sales team to explore Azure opportunities.Design, migrate, and manage customer systems on Microsoft Azure.Advise customers on cost, performance, and security best practices.Use DevOps and automation to implement and manage Azure solutions.Collaborate with teams to build reliable cloud environments.Understand and manage Azure’s financial aspects.Skills required for this......Well versed in Azure networking (hub & spoke, vWAN, Azure Firewall) and implementing zero-trust security with least-privilege access.Proficient in core Azure services, including Virtual Machines, App Services, SQL Database, and Azure Functions.Good understanding cloud migrations, hybrid cloud environments, and cloud-native solutions (containers, serverless).Solid understanding of DevOps practices, including CI/CD pipelines, automation with Azure DevOps, and Infrastructure as Code (Terraform preferred).Exposure to Azure AI services (Azure Machine Learning, AI Studio) and data management, including storage, migration, and databases.Well versed in designing, documenting, and delivering robust cloud architectures (LLDs/HLDs).This role can be either fully remote in the UK or hybrid in their Birmingham or York offices. Paying up to £85k + Bonus.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.