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- Tasks: Design scalable systems for personalisation and AI features while driving engineering standards.
- Company: Marks & Spencer Plc, a leader in digital transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of personalised digital experiences and make a real impact.
- Qualifications: Strong background in Java, Python, machine learning, and system design.
The predicted salary is between 70000 - 90000 £ per year.
Marks & Spencer Plc is seeking a Principal Engineer to shape our technical direction in the Personalisation product group. This role involves designing scalable systems for personalisation, search, and AI-powered features while driving engineering standards and collaborating closely with cross-functional teams.
The ideal candidate will have a strong technical background in Java and Python, with a focus on machine learning and system design. Join us in transforming how we deliver tailored digital experiences to our customers.
Principal Engineer, Personalisation & AI UX (Hybrid) employer: Marks & Spencer Plc
Contact Detail:
Marks & Spencer Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Engineer, Personalisation & AI UX (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Marks & Spencer. A friendly chat can open doors and give you insights into the company culture and what they’re really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Java, Python, and machine learning. This will not only demonstrate your technical prowess but also your passion for personalisation and AI.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on system design and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Marks & Spencer.
We think you need these skills to ace Principal Engineer, Personalisation & AI UX (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java, Python, and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation and AI UX. We love seeing candidates who can connect their personal experiences to our mission at Marks & Spencer.
Showcase Your Collaboration Skills: Since this role involves working closely with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can contribute to our culture!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Marks & Spencer Plc
✨Know Your Tech Inside Out
Make sure you brush up on your Java and Python skills. Be ready to discuss your experience with machine learning and system design in detail. Prepare examples of projects where you've implemented these technologies, as this will show your practical knowledge.
✨Understand Personalisation & AI Trends
Familiarise yourself with the latest trends in personalisation and AI. Research how Marks & Spencer is currently using these technologies and think about how you can contribute to their vision. This will demonstrate your genuine interest in the role and the company.
✨Collaboration is Key
Since the role involves working closely with cross-functional teams, be prepared to discuss your experience in collaborative environments. Share specific examples of how you've successfully worked with different teams to achieve a common goal, highlighting your communication skills.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the technical challenges they face, and their future plans for personalisation. This shows that you're not just interested in the job, but also in how you can fit into their long-term strategy.