Cloud Data & AI Engineer with MLOPS exp - London, UK
Capgemini
London, ENG, GB
Posted Oct 28, 2026
View original posting on Indeed (opens in a new tab)Job description
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:
- 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.
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- 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
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- Declare they have a disability, and
- Meet the minimum essential criteria for the role. Please opt in during the application process.
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- 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.
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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.
Make it real | www.capgemini.comRequirements
Required skills
- Git
- Machine Learning
- MLOps

