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

Apply Now

Technical Architect

dunnhumby
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Manager

Data Scientist

Lead Data Engineer

Data Science Lead

Data Science Lead

Senior Data Science Consultant, AWS Professional Services

dunnhumbyis the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission:to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

dunnhumbyemploys nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We’re looking for aSolution Architectwho expects more from their career. It’s a chance to extend and improve dunnhumby’s Architecture team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.

Joining our team, you’ll work with world-class and passionate people to build the platform that will support the next generation of our propositions. You will lead the overall architecture across assigned product and platform areas. We are looking for architects that have experience and can contribute across our platform layers:

  • A user experience layer that allows new user experiences and propositions to be quickly built on our growing corpus of science and data.
  • A product layer that stitches our science and data into services that allow flexible propositions to be built.
  • A data layer that processes and governs bulk, operational and event stream data, supporting a broad set of use cases, from bulk insight to real-time media activation.
  • A science layer that brings to life and makes efficient 30+ years of dunnhumby’s research into customer behaviour and loyalty, which also extends to modern AI techniques for understanding customer behaviour and driving key product use cases.
  • A PaaS layer that empowers teams and provides agility, while protecting the extensive data assets we hold and manage on behalf of our clients.

We want people who can specialise, while knowing how it all comes together to build the “big picture” covering our broad technology eco-system. You will work closely with the Product and Engineering teams and leadership to define and deliver the roadmap and cloud transformation.

What we expect from you

  • Experience of collaborative design and delivery of software products and platforms including depth of knowledge across at least two of software, infrastructure, big data, event processing and distributed computing architecture.
  • Familiarity with at least one of the major cloud provider’s technology stacks – Azure, GCP or AWS.
  • Leadership and early adopter of modern software-centric infrastructure management, including CI/CD, continuous deployment, Infrastructure as Code, Policy as Code, Configuration as Code/Data.
  • Track record of implementing architectural changes in Agile development methodologies.
  • Experience identifying key business technology issues and providing analytical skills to understand and communicate design specifications that facilitate technical development, including the creation of both high-level and detailed design documentation and impact estimation.
  • Problem solving and troubleshooting skills and the ability to exercise mature judgement.

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process.

Apply for this job

First Name *

Last Name *

Email *

Phone *

Location (City) *

Resume/CV *

Accepted file types: pdf, doc, docx, txt, rtf

Will you require sponsorship now or in the future to be able to work in the country the role will be located? *

I confirm that all information I have provided in this application is true and accurate *

Have you worked at dunnhumby before? *

Global Diversity and Inclusion Questions

At dunnhumby, we utilise ourdiversity of thought as our competitive edge.

We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work that we can be proud of.

Our diversity and inclusion work is designed tocultivate a culture of belonging, where every dunnhumbian feels safe to bring their whole self to work, where everyone is welcome and we practice what we preach.

We have a full D&I strategy to implement this long-term behaviour change; in addition, we have five employee-led network groups to support colleagues in the areas of gender, sexual orientation, multiculturalism, mental health and wellbeing, and family.

#J-18808-Ljbffr

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.