Google Cloud AI/ML Data Engineer
Google Cloud AI/ML Data Engineer

Google Cloud AI/ML Data Engineer

City of London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build AI-driven marketing solutions using Google Cloud technologies.
  • Company: Join a dynamic consulting company at the forefront of innovation.
  • Benefits: Access to cutting-edge tools and flexible work arrangements.
  • Why this job: Make a real impact on marketing strategies with AI and ML.
  • Qualifications: Google Cloud Platform certifications preferred, but passion is key!
  • Other info: Contract role with great opportunities for growth in a vibrant environment.

The predicted salary is between 43200 - 72000 £ per year.

Overview

We are recruiting on behalf of our client, a consulting company, for a Google Cloud AI/ML Data Engineer. This role focuses on building AI-driven marketing automation solutions using the latest Google Cloud Platform (GCP) and Google Marketing Platform (GMP) technologies. You’ll design and implement machine learning pipelines, manage data ingestion, and drive campaign optimisation for high-impact marketing projects.

Responsibilities

  • Lead the development of AI/ML solutions that directly influence marketing strategy.
  • Collaborate with cross-functional teams in a fast-paced, innovative environment.
  • Design and implement machine learning pipelines, manage data ingestion, and drive campaign optimisation.

Benefits

  • Access to the latest GCP and MarTech tools.

Details

This is a contract role, and will require you to work 3 days a week from their London based office.

Qualifications

  • Ideally hold one or more Google Cloud Platform certifications.

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Google Cloud AI/ML Data Engineer employer: Resource on Demand

Join a forward-thinking consulting company that champions innovation and collaboration, offering you the chance to work with cutting-edge Google Cloud technologies in a vibrant London office. With a strong focus on employee growth, you'll have access to the latest tools and resources, fostering an environment where your contributions directly shape impactful marketing strategies. Enjoy a flexible work schedule while being part of a dynamic team that values creativity and excellence.
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Contact Detail:

Resource on Demand Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Google Cloud AI/ML Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with Google Cloud and AI/ML. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects or any relevant work. This gives potential employers a taste of what you can do beyond the usual application.

✨Tip Number 3

Prepare for interviews by brushing up on common AI/ML questions and scenarios. Practice explaining your thought process clearly; it’s all about showing how you tackle problems.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by the right people.

We think you need these skills to ace Google Cloud AI/ML Data Engineer

Google Cloud Platform (GCP)
Machine Learning
Data Ingestion
AI-driven Solutions
Campaign Optimisation
Cross-functional Collaboration
Marketing Automation
Google Marketing Platform (GMP)
Problem-Solving Skills
Fast-paced Environment
Google Cloud Platform Certifications

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Google Cloud and AI/ML technologies. 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 AI-driven marketing solutions and how you can contribute to our innovative environment. Keep it engaging and personal.

Showcase Your Certifications: If you've got any Google Cloud Platform certifications, flaunt them! We love seeing that you’ve invested in your skills, especially when it comes to GCP and machine learning.

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 Resource on Demand

✨Know Your GCP Inside Out

Make sure you’re well-versed in Google Cloud Platform. Brush up on the latest features and tools, especially those related to AI/ML. Being able to discuss how you've used GCP in past projects will show your expertise and enthusiasm for the role.

✨Showcase Your Machine Learning Skills

Prepare to discuss specific machine learning pipelines you've designed or implemented. Bring examples of how your work has optimised campaigns or influenced marketing strategies. Real-world applications will impress your interviewers!

✨Collaborate Like a Pro

Since this role involves working with cross-functional teams, be ready to share experiences where you’ve successfully collaborated with others. Highlight your communication skills and how you adapt to different team dynamics.

✨Get Familiar with Marketing Automation

Understand the basics of marketing automation and how AI can enhance it. Research the latest trends in MarTech and be prepared to discuss how you can leverage these technologies to drive campaign optimisation.

Google Cloud AI/ML Data Engineer
Resource on Demand
Location: City of London

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