Hybrid Cloud Data & AI Engineer (MLOps/LLMs)

Capgemini; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Disability Confident Employer (Level 2

Wellbeing programs

Job summary

Capgemini is seeking a Cloud Data & AI Engineer to design, develop, and deploy scalable cloud-based data platforms and AI solutions. You will collaborate with business, data, and technology teams to deliver reliable, secure data products that create business value.

Role blends Capgemini offices, client sites, and home working, with no option to work from home 100% of the time. You will implement MLflow, CI/CD pipelines, and GAIA solutions across cloud environments.

Qualifications

• Experience designing and implementing scalable cloud data platforms.
• Experience with AI/ML solution development including Generative AI and LLM use cases.
• Strong understanding of Insurance domain data models and governance.

Responsibilities

• Design and build scalable, secure data platforms on cloud environments.
• Develop, optimize, and deploy data pipelines for batch and real-time processing.
• Develop, deploy, and optimize AI/ML solutions including Generative AI and LLM-based applications.
• Integrate AI services into cloud-native data platforms.
• Establish and maintain MLOps practices for model governance and reproducibility.

Skills

Cloud Data Engineering

LLM use cases

Insurance domain knowledge

Tools

MLflow

Git

CI/CD pipelines

Job description

Capgemini is seeking a Cloud Data & AI Engineer to design, develop, and deploy scalable cloud-based data platforms and AI solutions. You will collaborate with business, data, and technology teams to deliver reliable, secure data products that create business value.

Role blends Capgemini offices, client sites, and home working, with no option to work from home 100% of the time. You will implement MLflow, CI/CD pipelines, and GAIA solutions across cloud environments.