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

Apply Now

Lead Architect

Qurated Network
Nottingham
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Analytical Data Engineer

Lead AWS Data Engineer / Architect - Databricks - London

Lead Data Engineer

Lead R Data Scientist - Sustainability

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

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.