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

Apply Now

Lead Architect

Qurated Network
Leeds
6 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Principle Enterprise Architect - Artificial Intelligence

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead Computer Vision Engineer

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Data Scientist - Sustainability

Lead Architect - AI/ML | Tier 1 UK Bank


As part of the overarching bank strategy placed by the CIO, this Tier 1 bank have undergone massive growth within Data & Analytics over the last 3-4 years, growing from 1700 to now over 3000 members within the team today.

This transformation of how data is managed and used across the enterprise involves modernisation including Data Warehouse, Customer Analytics, and other core data platforms. This strategy underpins the banks efforts to innovate across the use of data within financial services further showcased by their pioneering of AI within the UK Banking industry.


In this role, you will have the opportunity to join a growing function and set up the AI strategy and architecture from scratch.


Experience

  • Understand Gen AI, and Machine learning - needs to be fully invested in the AI Landscape and own the future roadmap
  • Hands-on experience with roadmap design and architecture frameworks
  • Have managed or lead other architects
  • Management of data on cloud and on-premise
  • Understanding of Large Language models and experience within a Data Science team or landscape


Technical Experience

  • AWS suite and native capabilities
  • Python and Java
  • Experience managing enterprise, solution, BI/MI and ML data models
  • An understanding of industry architecture frameworks, such as TOGAF and ArchiMate
  • Experience and knowledge of industry data modelling frameworks Relational, ER, NoSQL covering Document, Key-Value, Column, and Graph, Event Modelling, Data Class Modelling, Ontology Modelling, Data Vault and Hybrid Data Modelling


This is apermanentrole with hybrid working based in eitherManchester, Edinburgh or London.

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.