Senior Software Engineer - Recommendation Experiences
- Team
- Digital & Tech
- Store
- London Support Office
- Location
- London, Greater London
- Contract type
- Permanent
- Position type
- Full Time
- Salary
- Competitive + Benefits
- Closing date: 3rd July 2026
Everyone is welcome at M&S. No exceptions. It’s your background, abilities and differences that make you, uniquely you. And when you’re part of M&S, that individuality has the potential to make waves.
This section tells you all you need to know about the position and its responsibilities, outlining everything we hope to see in a successful candidate.
To stay close to our customers and colleagues, our support teams are in the office for at least three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected.
We’re looking for a Senior Software Engineer to play a pivotal role in shaping and evolving M&S’s AI-powered recommendation experiences. This team provides the intelligent services that power personalised customer journeys across web and mobile, helping millions of customers discover products that are relevant, inspiring, and tailored to their needs.
Your “customers” are product teams, engineers, data scientists, and ultimately millions of M&S customers and your mission is to improve the quality, relevance, and reliability of AI-driven experiences through robust engineering, intelligent evaluation frameworks, and production-ready AI systems.
This is a role for an engineer who is excited by applied AI, recommendation systems, and building customer-facing products at scale. You will help drive the next phase of growth for AI Stylist, one of M&S’s flagship AI-powered experiences, as it continues to evolve and scale across our digital channels.
About the Team
Our Recommendations Engineering team is responsible for delivering personalised experiences across M&S digital platforms. We build and operate intelligent systems that help customers discover products, engage with content, and make more informed purchasing decisions.
You will join the team responsible for AI Stylist, a live customer-facing product that combines conversational AI with recommendation capabilities to create highly personalised shopping experiences.
What You'll Do
Your key accountabilities will include:
Who You Are
What’s in it for you
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special
Everyone’s Welcome
We are ambitious about the future of retail. We’re disrupting, innovating, and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet.
Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers, and suppliers.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and win together.
If you’d benefit from any support or reasonable adjustments during any stage of the recruitment process, please let us know when completing your application.
#hybridrole
We're at our best when we're close to customers, and for many of us at M&S, that means working in store every day.
To stay close to customers, our support teams are in the office three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected. It also means we can solve problems as soon as they arise, learn and grow as a team, build trust, and get closer to our colleagues.
Take part in our M&S Digital & Tech team days. Grow your digital and data skills through our BEAM Academy. Or challenge yourself at one of our business-wide hackathons. We also partner with Women in Data, Databricks and Cajigo to increase opportunities for women in digital and data.
Your voice and your ideas matter here. Our 8 colleague networks are places to find support, listen to each other and encourage debate. You can pitch ideas ‘Straight to Stuart’, our CEO, or get involved in our BIG (Business involvement Group).
Here’s what to expect at each stage of the application process. This can change depending on the role you’ve applied to. If you need any reasonable adjustments made at any stage, let us know and we can help.
Fill in our short application form and hit submit.
Depending on the role you are applying for, you may be invited to do an assessment. Your Talent Acquisition Partner will guide and inform you along the way.
We'll invite you to join us for an interview. This could be remote or in person. Here, we'll ask you some role based technical questions and examine the behaviours we're looking for.
After we’ve made our decision, we’ll be in touch. If you’ve been successful, we’ll officially invite you to join the team and let you know the next steps.