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- Tasks: Design AI-driven marketing automation solutions and manage data ingestion.
- Company: Dynamic consulting firm focused on innovative AI/ML solutions.
- Benefits: Flexible part-time hours, collaborative environment, and professional growth opportunities.
- Why this job: Join a cutting-edge team and shape the future of marketing with AI.
- Qualifications: Google Cloud certifications and experience in AI/ML for marketing.
- Other info: Work three days a week in vibrant London office.
The predicted salary is between 28800 - 48000 £ per year.
A consulting company is seeking a Google Cloud AI/ML Data Engineer to develop AI-driven marketing automation solutions. This role involves designing machine learning pipelines and managing data ingestion within a collaborative environment at their London office.
Ideal candidates will hold Google Cloud certifications and have experience in AI/ML solutions that affect marketing strategies. The position is part-time, requiring three days a week on-site.
GCP AI/ML Data Engineer — Marketing Automation (London) in City of London employer: Resource on Demand
Contact Detail:
Resource on Demand Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP AI/ML Data Engineer — Marketing Automation (London) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to marketing automation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to GCP and AI/ML. Practice explaining your past projects and how they align with the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GCP AI/ML Data Engineer — Marketing Automation (London) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud and AI/ML solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about marketing automation and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Certifications: If you've got Google Cloud certifications, flaunt them! We love seeing candidates who are certified, as it shows your commitment and expertise in the field. Make sure they’re front and centre in your application.
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 Resource on Demand
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially around AI and ML services. Be ready to discuss how you've used these tools in past projects, as well as any relevant certifications you hold.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in designing machine learning pipelines. Think about the steps you took, the data you worked with, and the impact your solutions had on marketing strategies.
✨Collaborative Spirit is Key
Since this role involves working in a collaborative environment, be ready to talk about your experience working in teams. Highlight how you communicate and share ideas, especially in a tech-focused setting.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI-driven marketing automation. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
