At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
Role Purpose:
To strengthen Vodafone’s corporate research group in the domains of artificial intelligence (AI) and Machine Learning (ML) for the following aims: i) to identify new use cases and enabling technologies where advances in AI and ML (incl. advanced genAI approaches, Agentic AI frameworks, new Foundation Models, Large and Small Language Models, Explainability etc.) can make a difference to Vodafone’s cost base and revenue opportunities. ii) to scout the market for high-impact emerging AI technologies and products and selectively evaluate them, iii) to drive the engagement with other Vodafone teams to identify new value & collaboration opportunities, iv) to explore opportunities arising from use of AI/ML e.g. in the context of AI Native Networks & Operations, Intent-based Automation, Network Digital Twins, 6G networks, Quantum Machine Learning, Revenue Management and AI-driven Pricing; v) to design and prototype cloud-based Web and AI applications to quickly demonstrate and evaluate new tech via proof of concept. vi) to influence and leverage external industry organisations like NGMN, GSMA in Vodafone’s interest. The candidate will join a multi-disciplinary research group and shall drive the collaboration with other teams inside the company and with technology partners. The successful candidate must demonstrate both a team-first attitude as well as intrapreneur skills for successful execution of collaborative project. The role requires hands-on expertise in generative AI, agentic AI, machine learning and deep learning and mastery in key development frameworks and relevant software engineering. Depending on projects the candidate will have to quickly learn about latest advances in important telecom domains like 5G and 6G networks, network automation, telco service models and pricing mechanisms, quantum computing for machine learning and others, based on latest work undertaken in relevant standards organisations and industry alliances (e.g. TMF, 3GPP, ETSI, GSMA, NGMN).
