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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: Part-time role with flexible hours and collaborative team environment.
- 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 required.
- Other info: Exciting opportunity to work in London with growth potential.
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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that GCP AI/ML Data Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to marketing automation. We want to see how you’ve tackled real-world problems and made an impact.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and scenarios specific to GCP and AI/ML. 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 take the initiative to connect directly with us.
We think you need these skills to ace GCP AI/ML Data Engineer — Marketing Automation (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 or certifications!
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 Collaboration Skills: Since this role involves working in a collaborative environment, make sure to mention any teamwork experiences. We love candidates who can work well with others and contribute to a positive team dynamic!
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’re considered for the role. Plus, it’s super easy!
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. Familiarise yourself with the specific AI/ML tools and services that are relevant to marketing automation. Being able to discuss how you've used these tools in past projects will show your expertise.
✨Showcase Your Pipeline Design Skills
Prepare to talk about your experience designing machine learning pipelines. Have a couple of examples ready where you successfully managed data ingestion and processing. This will demonstrate your hands-on experience and problem-solving skills in a collaborative environment.
✨Understand Marketing Automation
Since this role focuses on marketing automation, it’s crucial to understand how AI/ML can impact marketing strategies. Be ready to discuss trends in the industry and how your skills can help the company achieve its marketing goals.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, team dynamics, and future goals in AI/ML. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
