At a Glance
- Tasks: Develop and deploy scalable machine learning models for a leading retail company.
- Company: Join Kingfisher, a global leader in home improvement with a collaborative culture.
- Benefits: Enjoy hybrid work, competitive benefits, and a focus on diversity.
- Other info: Be part of a dynamic team with exciting career growth opportunities.
- Why this job: Shape the future of home improvement with innovative AI solutions.
- Qualifications: Strong Python skills, knowledge of machine learning, and SQL experience.
The predicted salary is between 50000 - 65000 € per year.
hackajob is seeking a Machine Learning Engineer to join a collaborative team at Kingfisher in Greater London. Your role will involve developing and deploying scalable machine learning models, improving tools and processes, and contributing to AI solutions.
Ideal candidates will have:
- Strong Python skills
- Knowledge of machine learning techniques
- Experience with SQL
The company offers a hybrid work model, competitive benefits, and values diversity. Join us to help shape the future of home improvement.
ML Engineer - Production AI for a Global Retail Leader in London employer: hackajob
At Kingfisher, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Greater London. Our hybrid work model provides flexibility, while our commitment to employee growth through continuous learning and diverse opportunities ensures that you can thrive both personally and professionally. Join us to be part of a forward-thinking team dedicated to shaping the future of home improvement with cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - Production AI for a Global Retail Leader in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Kingfisher on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let’s make sure we highlight our Python prowess and any cool AI solutions we've developed.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on common ML concepts and SQL queries. We can even do mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills align with Kingfisher's needs in the retail space.
We think you need these skills to ace ML Engineer - Production AI for a Global Retail Leader in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python skills and any relevant machine learning experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at Kingfisher and how you can contribute to their AI solutions. Let us see your personality and passion!
Showcase Your Projects:If you've worked on any machine learning projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing practical examples of your skills in action!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at hackajob
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss various algorithms, their applications, and how you’ve used them in past projects. This will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code. Familiarise yourself with libraries like NumPy and Pandas, as they could come up in conversation.
✨SQL Savvy is Key
Make sure you can confidently discuss SQL and how you’ve used it to manage and manipulate data. Prepare for questions about database design and optimisation, as well as any specific queries you’ve written in previous roles.
✨Embrace the Hybrid Work Model
Understand the benefits of a hybrid work model and be ready to discuss how you can thrive in such an environment. Share examples of how you’ve successfully collaborated with teams remotely and in-person, highlighting your adaptability and communication skills.
