Cloud Data & AI Engineer

Capgemini; Greater London; Híbrido; GBP 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Disability Confident Employer (Level 2

Wellbeing programs

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Cloud Data Engineering

LLM use cases

Insurance domain knowledge

Herramientas

MLflow

Git

CI/CD pipelines

Descripción del empleo

We are seeking a highly skilled Cloud Data & AI Engineer with strong expertise in MLOPS, Cloud Data Engineering, Artificial Intelligence, and the Insurance domain. The successful candidate will be responsible for designing, developing, and deploying scalable cloud-based data platforms and AI solutions, including Generative AI and Large Language Model (LLM) use cases. The role requires close collaboration with business, data, and technology teams to deliver reliable, secure, and high-performing data products that drive business value.

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:

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

Your Skills:

• Handson experience in Cloud Data Engineering including designing and implementing scalable data platforms on cloud environments with expertise in leveraging and optimizing LLMbased use cases
• Strong understanding of Insurance domain data models business processes and data governance requirements
• Experience with MLflow for machine learning lifecycle management including experiment tracking model registry and deployment
• Proficiency in unit testing version control Git CICD pipelines and production deployment of cloud based data and AI solutions ensuring reliability scalability and maintainability

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 Manage Mentor, 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 organizations 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 over 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 2025 global revenues of €22.5 billion.