AI Architect (Azure

WeDoTech
1 year ago
Applications closed

Related Jobs

View all jobs

AI Architect - NLP, Chatbot, LLMs - TechBio

Senior AI Engineer: GenAI, MLOps & Cloud Architect

GenAI Solutions Architect: LLMs, MLOps & Product Impact

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Role: AI Architect (Strategy & Engineering)Salary: £120,000 + £10k BonusIndustry: ConsultingAre you ready to lead the charge in transforming businesses with AI-driven innovation? A top-tier Microsoft consulting partner is seeking a AI Architect to pioneer their AI consulting practice.This is a rare opportunity to take ownership of AI strategy, design solutions, and collaborate with a team of technology experts passionate about innovation. As the first AI Architect in the UK you’ll play a critical role in empowering clients to harness AI to streamline operations, enhance decision-making, and uncover new avenues for growth.The client has already started to secure large projects where they have existing and new clients implementing AI - so you will be busy from the get go!They are looking for someone who is technically hands on in training and building models as well as taking the lead on the AI strategy!Key Responsibilities;Support AI implementation across infrastructure, security, licensing, and migration.Lead and execute AI projects independently or with a team.Collaborate with Cloud Services teams to deliver Microsoft-based solutions.Automate business processes and develop scalable cloud solutions.Design AI architectures and optimise development with DevOps practices.Deliver client workshops and facilitate technology adoption.Integrate AI with complementary systems and solutions.What tech skills?Well versed in Microsoft Azure AI tools, including Cognitive Services, Machine Learning, Bot Services, OpenAI Service, Co-Pilot AI, and data platforms like Synapse and Databricks, with experience in CI/CD pipelines using Azure DevOps and secure architectures with Azure Key Vault and Active Directory.The role is fully remote in the UK with travel to client site occasionally & paying up to £120k + 10k Bonus and other benefits!How to Apply:Connect with Omar Bakali on LinkedIn and send your CV to (url removed).To truly stand out, follow up with a message highlighting why you’re uniquely suited for this role.Stay informed about future opportunities by following Wedo’s page.Pro Tip: When submitting your CV, focus on quantifiable achievements and use storytelling to demonstrate the impact of your work

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.