GCP ML Optimization Consultant — London | Flexible Work

Capgemini; Greater London; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Health and wellness benefits

Professional development opportunities

Flexible working arrangements

Job summary

Capgemini is seeking a Google Cloud GCP ML Optimization Consultant in London to help clients leverage ML on Google Cloud. You will analyze models, optimize performance, and design tailored ML strategies while collaborating with client teams to integrate solutions into existing workflows.

The role requires strong ML knowledge, GCP expertise, and excellent communication skills to explain complex concepts to non-technical stakeholders and deliver measurable business impact.

Qualifications

• Proven experience in machine learning and data analysis.
• Strong understanding of Google Cloud Platform and its ML services.
• Excellent problem solving skills and the ability to work collaboratively with clients.
• Experience with programming languages such as Python or R.
• Strong communication skills to effectively convey complex concepts to non-technical stakeholders.

Responsibilities

• Engage with clients to identify their machine learning needs and provide expert guidance on GCP solutions.
• Analyze existing ML models and recommend optimizations to improve performance and efficiency.
• Develop and implement machine learning strategies that align with client goals.
• Collaborate with cross-functional teams to integrate ML solutions into existing workflows.
• Stay updated on the latest advancements in machine learning and cloud technologies to provide cutting‑edge solutions.

Skills

Machine learning

Data analysis

GCP ML services

Python

Communication

Job description

Capgemini is seeking a Google Cloud GCP ML Optimization Consultant in London to help clients leverage ML on Google Cloud. You will analyze models, optimize performance, and design tailored ML strategies while collaborating with client teams to integrate solutions into existing workflows.

The role requires strong ML knowledge, GCP expertise, and excellent communication skills to explain complex concepts to non-technical stakeholders and deliver measurable business impact.