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- Tasks: Lead the development of AI/ML solutions and collaborate with a talented Data Science team.
- Company: A leading global company in Slough focused on innovation.
- Benefits: Competitive compensation and extensive learning opportunities.
- Why this job: Shape strategies that drive value through cutting-edge technologies.
- Qualifications: 5-7 years of experience in AI/ML and strong quantitative skills.
- Other info: Join a dynamic team and accelerate your career in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading global company in Slough seeks a Machine Learning and AI Engineering Lead to accelerate their Data & Analytics Agenda. The role involves overseeing the development of AI/ML solutions, collaborating with the Data Science team, and shaping strategies to drive value through innovative technologies.
Candidates should possess 5-7 years of relevant experience, strong quantitative skills, and a customer-centric approach. The company offers competitive compensation along with extensive learning opportunities.
Generative AI & ML Platform Lead in Slough employer: Mars, Incorporated
Contact Detail:
Mars, Incorporated Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI & ML Platform Lead in Slough
✨Tip Number 1
Network like a pro! Reach out to folks 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 case studies that highlight your experience with AI/ML solutions. This is your chance to demonstrate how you've driven value through innovative technologies.
✨Tip Number 3
Ace the interview by being customer-centric! Be ready to discuss how your past projects have positively impacted users. Companies love candidates who think about the end-user experience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talent that fits our vision.
We think you need these skills to ace Generative AI & ML Platform Lead in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially any projects that align with the role. We want to see how your skills can drive our Data & Analytics Agenda!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI/ML and how you can contribute to our innovative technologies. Show us your customer-centric approach and how it aligns with our values.
Showcase Your Quantitative Skills: Don’t forget to include examples of your strong quantitative skills in your application. We love numbers, so if you've got data-driven results, flaunt them!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Mars, Incorporated
✨Know Your AI & ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss specific projects you've worked on, showcasing your quantitative skills and how you've driven value through innovative solutions.
✨Showcase Collaboration Skills
Since this role involves working closely with the Data Science team, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully partnered with others to achieve common goals, highlighting your customer-centric approach.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in AI/ML development. Think through potential scenarios and formulate your responses, focusing on problem-solving strategies and how you can leverage your experience to drive results.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s Data & Analytics Agenda. Inquire about their current projects or future plans in AI/ML, demonstrating your enthusiasm and commitment to contributing to their success.
