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- Tasks: Develop machine learning frameworks and manage infrastructure for model deployment.
- Company: Leading luxury department store in Greater London with a focus on innovation.
- Benefits: 25 days holiday, in-store discounts, and a robust benefits package.
- Why this job: Join a dynamic team and shape the future of retail with cutting-edge technology.
- Qualifications: Strong software engineering skills, proficiency in Python, and cloud experience.
- Other info: Exciting opportunity for career growth in a prestigious environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading luxury department store in Greater London is seeking a Machine Learning Engineer to enhance their Data Science team. You will be responsible for developing frameworks for machine learning development, managing infrastructure, and supporting model deployment.
The ideal candidate has a strong software engineering background, proficiency in Python, and experience with cloud platforms like AWS or Azure.
This position offers a robust benefits package, including 25 days of holiday and an in-store discount.
ML Platform Engineer – Production ML & Infra in London employer: Harrods
Contact Detail:
Harrods Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Platform Engineer – Production ML & Infra in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and cloud platforms like AWS or Azure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and frameworks. Practice explaining your past projects and how you managed infrastructure and model deployment. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Platform Engineer – Production ML & Infra in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering skills and experience with Python. We want to see how your background aligns 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 excited about the ML Platform Engineer position and how your experience with cloud platforms like AWS or Azure makes you a great fit for our team.
Showcase Your Projects: If you've worked on any machine learning projects, make sure to mention them in your application. We love seeing practical examples of your work, especially if they relate to model deployment or infrastructure management.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harrods
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the cloud platforms mentioned, like AWS or Azure. Brush up on your knowledge of machine learning frameworks and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in ML development and how you overcame them. Use examples that highlight your software engineering background and your ability to manage infrastructure effectively.
✨Understand the Company’s Vision
Research the luxury department store and understand their approach to data science. Be ready to discuss how your skills can enhance their team and contribute to their goals, especially in terms of model deployment and infrastructure management.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
