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- Tasks: Lead the technical strategy for personalisation and design scalable systems.
- Company: A leading retail company focused on transforming digital shopping experiences.
- Benefits: Competitive salary, inclusive culture, and opportunities for mentorship.
- Why this job: Make a real impact on customer experiences through innovative technology.
- Qualifications: Strong experience in Java/Python and machine learning required.
- Other info: Join a diverse team with a focus on collaboration and growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading retail company is seeking a Principal Software Engineer to define and drive the technical strategy for personalisation. In this role, you will design scalable systems, mentor engineers, and work closely with various teams to deliver customer-centric solutions.
The ideal candidate will have strong experience in Java/Python and machine learning, along with the ability to influence technical decisions at all levels. Join our inclusive team and help us transform the digital shopping experience.
Principal Engineer, Personalisation & ML Architect in London employer: Marks & Spencer
Contact Detail:
Marks & Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Engineer, Personalisation & ML Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those related to personalisation and machine learning. This will help us see your practical experience in action.
✨Tip Number 3
Ace the interview by being ready to discuss your past experiences in detail. Think about how you've designed scalable systems or mentored others, and be prepared to share specific examples that highlight your impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and contributing to transforming the digital shopping experience.
We think you need these skills to ace Principal Engineer, Personalisation & ML Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in 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 how you can contribute to our team. Keep it engaging and let your personality come through.
Showcase Your Leadership Skills: Since this role involves mentoring engineers and influencing technical decisions, make sure to highlight any leadership experiences you have. We love seeing how you’ve guided teams or driven projects to success!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Marks & Spencer
✨Know Your Tech Inside Out
Make sure you brush up on your Java and Python skills, as well as your machine learning knowledge. Be ready to discuss specific projects where you've implemented these technologies, and how they contributed to personalisation in previous roles.
✨Showcase Your Leadership Skills
As a Principal Engineer, you'll be expected to mentor others and influence decisions. Prepare examples of how you've successfully led teams or projects in the past, and think about how you can apply that experience to drive technical strategy in this role.
✨Understand the Company’s Vision
Research the retail company’s approach to personalisation and customer-centric solutions. Be prepared to discuss how your vision aligns with theirs and suggest innovative ideas that could enhance their digital shopping experience.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems and system design scenarios that relate to scalability and personalisation. This will help you demonstrate your problem-solving skills and technical expertise effectively.