Resource On Demand Limited
Description
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.
Key benefits:
- Collaborate with cross-functional teams in a fast-paced, innovative environment.
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Lead the development of AI/ML solutions that directly influence marketing strategy.
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Access to the latest GCP and MarTech tools.
This is a contract role, and will require you to work 3 days a week from their London based office.
If you’re passionate about AI/ML, we want to hear from you!
Responsibilities
As the Google Cloud AI/ML Data Engineer you will be responsible for:
- Design and develop AI/ML pipelines using Vertex AI for forecasting, targeting, and creative optimisation.
- Lead data ingestion and processing using GCP tools (BigQuery, Cloud Functions, Cloud Run, Pub/Sub).
- Build and maintain scalable APIs for ML endpoints and campaign automation.
- Manage the full MLOps lifecycle, including CI/CD, monitoring, and continuous improvements.
- Integrate campaign execution platforms (Google Ads, Meta, TikTok) with AI-driven decisions.
- Ensure robust data governance, security, and compliance across all systems.
- Design and develop AI/ML pipelines using Vertex AI for forecasting, targeting, and creative optimisation.
- Lead data ingestion and processing using GCP tools (BigQuery, Cloud Functions, Cloud Run, Pub/Sub).
- Build and maintain scalable APIs for ML endpoints and campaign automation.
- Manage the full MLOps lifecycle, including CI/CD, monitoring, and continuous improvements.
- Integrate campaign execution platforms (Google Ads, Meta, TikTok) with AI-driven decisions.
- Ensure robust data governance, security, and compliance across all systems.
Skills
The ideal person will have the following:
- Expertise in Google Cloud platform, including hands-on experience with BigQuery, Vertex AI, Cloud Functions, Cloud Run, and Terraform.
- Proficient in supervised learning, forecasting, and deploying custom ML models using Python-based tools (scikit-learn, TensorFlow, PyTorch).
- Skilled in SQL for BigQuery, schema design, and building ingestion pipelines using Pub/Sub.
- Familiar with CI/CD pipelines, model deployment, versioning, and rollback strategies on GCP.
- Strong ability to work with cross-functional teams, deliver in agile environments, and document technical solutions clearly.
- Expertise in Google Cloud platform, including hands-on experience with BigQuery, Vertex AI, Cloud Functions, Cloud Run, and Terraform.
- Proficient in supervised learning, forecasting, and deploying custom ML models using Python-based tools (scikit-learn, TensorFlow, PyTorch).
- Skilled in SQL for BigQuery, schema design, and building ingestion pipelines using Pub/Sub.
- Familiar with CI/CD pipelines, model deployment, versioning, and rollback strategies on GCP.
- Strong ability to work with cross-functional teams, deliver in agile environments, and document technical solutions clearly.
Experience Requirements
Experience developing APIs (preferably with FastAPI/Node.js) and integrating with marketing APIs (Google Ads, Meta, TikTok, DV360).
Qualifications
Ideally hold one or more Google Cloud Platform certifications.
Educational Requirements
N/A