Google Cloud (GCP) ML Optimization Consultant - London, UK

Capgemini; Greater London; On-site; 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

About the Job you are considering:

We are seeking a highly skilled Google Cloud (GCP) ML Optimization Consultant to lead outcome-based optimization assessments and deliver implementation-ready recommendations for fraud detection machine learning platforms on Google Cloud Platform (GCP). This role focuses on reducing infrastructure and model run costs while improving performance, scalability, reliability, and operational efficiency across GCP environments and ML pipelines.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

GCP Infrastructure Optimization

• Perform hands-on assessment, design, and diagnostics of GCP environments to identify optimization opportunities.
• Optimize compute, storage, and networking configurations to reduce operational costs while maintaining performance and reliability.
• Implement monitoring, observability, and cost-management practices across GCP services.
• Provide configuration-level and architecture-level recommendations with clear implementation guidance.

Fraud ML Model Optimization

• Support the development, validation, deployment, and optimization of fraud detection machine learning models.
• Analyse model training and inference workloads to improve efficiency, scalability, and cost-effectiveness.
• Deliver measurable improvements in compute utilization, inference speed, and automation.
• Collaborate with data scientists and fraud analytics teams to enhance model performance and operational readiness.

ML and Data Pipeline Engineering

• Optimize end-to-end machine learning pipelines, including data ingestion, transformation, feature engineering, training, deployment, and inference.
• Improve pipeline resilience, performance, scalability, and cost efficiency.
• Identify bottlenecks and implement solutions to enhance throughput and reliability.

Your Skills:

• GCP engineering Handson design and diagnostics optimise compute storage network trade-offs to reduce run cost implement monitoring and observability for cost performance and reliability
• Fraud ML modelling support building validating and deploying fraud ML models end-to-end with demonstrated cost savings eg reduced compute faster inference improved automation
• ML data pipelines Optimise pipelines from ingest transform feature creations training inference focusing on cost efficiency performance and resilience
• Big data distributed processing Develop and tune largescale batch stream workloads Spark or similar improve job efficiency stability and operational readiness in production
• Software engineering Strong Python SQL apply CICD automated testing modular design and disciplined code reviews

We are a Disability Confident Employer:

• Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
• Declare they have a disability, and
• Meet the minimum essential criteria for the role.
• Please opt in during the application process.

Make It Real (what does it mean for you):

• You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
  To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
• You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
• You will be joining one of the World's Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com