Google Cloud AI/ML Data Engineer

Resource On Demand Limited; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading consulting company is seeking a Google Cloud AI/ML Data Engineer in London. The role focuses on creating AI-driven marketing automation solutions, utilizing GCP technologies, and managing the complete MLOps lifecycle in a dynamic and collaborative environment.

Qualifications

• Experience with AI/ML pipelines and GCP tools.
• Proficient in deploying custom ML models using Python tools.
• Knowledgeable in CI/CD pipelines and API development.

Responsibilities

• Design and develop AI/ML pipelines using Vertex AI.
• Lead data ingestion and manage the full MLOps lifecycle.
• Integrate marketing platforms with AI-driven decisions.

Skills

Expertise in Google Cloud platform

Proficient in supervised learning

Strong ability to work with cross-functional teams

Skilled in SQL for BigQuery

Education

Google Cloud Platform certifications

Tools

Terraform

BigQuery

Job description

Resource On Demand Limited provided pay range

This range is provided by Resource On Demand Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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.

Why apply?

• Collaborate with cross-functional teams in a fast-paced, innovative environment.
• Lead the development of AI/ML solutions that directly influence marketing strategy.
• 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!

Key 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.

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.
• Experience developing APIs (preferably with FastAPI/Node.js) and integrating with marketing APIs (Google Ads, Meta, TikTok, DV360).
• Ideally hold one or more Google Cloud Platform certifications.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting, Technology, Information and Media, and IT System Design Services

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