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 employer: hackajob
At Kingfisher, we pride ourselves on being an excellent employer, offering a dynamic work environment in Greater London where innovation thrives. Our hybrid work model promotes flexibility, while our commitment to diversity ensures that every voice is heard and valued. With competitive benefits and ample opportunities for professional growth, joining our team as a Machine Learning Engineer means contributing to meaningful AI solutions that shape the future of home improvement.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - Production AI for a Global Retail Leader
✨Tip Number 1
Network like a pro! Reach out to current employees at Kingfisher on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨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 your work speak for itself.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills with real-world problems. The more confident you are, the better you'll perform in interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly.
We think you need these skills to ace ML Engineer - Production AI for a Global Retail Leader
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. Keep it engaging and personal.
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: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 us!
How to prepare for a job interview at hackajob
✨Know Your ML Basics
Make sure you 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 have a solid understanding of the field and can contribute effectively.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process as you go.
✨SQL Savvy is Key
Familiarise yourself with SQL queries and database management. You may be asked about how to manipulate data or optimise queries, so having some practical examples from your experience will help you stand out.
✨Embrace the Hybrid Work Model
Understand the dynamics of hybrid work and be prepared 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.
