GCP ML Optimization Consultant for Fraud Detection

Capgemini; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Capgemini UK seeks a Google Cloud ML Optimization Consultant to lead assessments and deliver implementation-ready recommendations for fraud-detection ML on GCP.

You will optimize GCP infrastructure and ML pipelines to cut costs while boosting performance, reliability, and scalability, collaborating with data scientists and fraud analytics teams.

This hybrid role involves working across Capgemini offices, client sites, and home-based work in the UK, focusing on practical, measurable improvements.

Qualifications

• Expertise in designing and optimizing GCP solutions to reduce run costs while maintaining performance.
• Experience building and validating fraud ML models end-to-end with measurable cost savings.
• Strong Python/SQL skills and experience with CI/CD and code reviews.

Responsibilities

• Lead hands-on assessment, design, and diagnostics of GCP environments to identify optimization opportunities.
• Optimize compute, storage, and networking to reduce costs while preserving performance and reliability.
• Implement monitoring, observability, and cost-management practices across GCP services.

Skills

GCP optimization

Cost optimization

Observability

MLOps

Fraud ML modeling

Model deployment

Cost savings

ML pipelines

Big data

Spark

Python

SQL

CI/CD

Code reviews

Job description

Capgemini UK seeks a Google Cloud ML Optimization Consultant to lead assessments and deliver implementation-ready recommendations for fraud-detection ML on GCP.

You will optimize GCP infrastructure and ML pipelines to cut costs while boosting performance, reliability, and scalability, collaborating with data scientists and fraud analytics teams.

This hybrid role involves working across Capgemini offices, client sites, and home-based work in the UK, focusing on practical, measurable improvements.