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- Tasks: Lead AI and ML projects to drive innovation in data and analytics.
- Company: Global consumer goods leader focused on cutting-edge technology.
- Benefits: Industry-competitive salary and comprehensive benefits package.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: 5-7 years in quantitative roles with AI/ML product experience.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A global consumer goods company is seeking a Machine Learning and AI Engineering Lead to drive innovation through AI and machine learning. The role involves overseeing the deployment of ML solutions and collaborating with cross-functional teams to deliver data-driven products.
Candidates should have 5-7 years in quantitative roles and experience with AI/ML products. A strong customer-centric mindset and familiarity with cloud technologies like Azure are essential for this position, which offers an industry-competitive salary and comprehensive benefits.
ML & AI Engineering Lead for Data & Analytics Transformation in Slough employer: Mars, Incorporated
Contact Detail:
Mars, Incorporated Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML & AI Engineering Lead for Data & Analytics Transformation in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI and ML. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects in AI and machine learning. This is your chance to demonstrate your expertise and customer-centric mindset in action.
✨Tip Number 3
Prepare for interviews by brushing up on cloud technologies like Azure. Be ready to discuss how you’ve used these tools in previous roles to drive innovation and deliver data-driven products.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team and lead the charge in AI and ML engineering.
We think you need these skills to ace ML & AI Engineering Lead for Data & Analytics Transformation in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI 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 AI and how you can drive innovation at our company. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Customer-Centric Mindset: In your application, emphasise your understanding of customer needs and how your ML solutions have addressed them in the past. We’re all about creating data-driven products that truly benefit users, so let us know how you’ve done this!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. 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 Mars, Incorporated
✨Know Your AI & ML Stuff
Make sure you brush up on your knowledge of machine learning and AI concepts. Be ready to discuss specific projects you've worked on, especially those involving deployment of ML solutions. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Customer-Centric Mindset
Since the role requires a strong customer-centric approach, think of examples where you've put the customer first in your previous roles. Prepare to explain how your decisions in AI/ML projects have positively impacted users or clients.
✨Familiarise Yourself with Cloud Technologies
As familiarity with cloud technologies like Azure is essential, make sure you can talk about your experience with these platforms. If you’ve used Azure for deploying ML models, be ready to share specific details about the process and outcomes.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be prepared to discuss your collaboration skills. Think of instances where you’ve successfully worked with different departments to deliver data-driven products, and highlight your ability to communicate complex ideas clearly.
