AI Models Manager

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.

We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient.

This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations:
Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #Be Unrivalled #Create The Future

We are seeking an experienced AI Models Lead to serve as the scientific and deep technology anchor of the AI Tower. This role is responsible for developing, fine-tuning, training, validating and governing advanced AI and machine learning models, including Large Language Models (LLMs), Small Language Models (SLMs) and predictive models. The successful candidate will lead high-value experimentation and pilot delivery, providing deep technical leadership across model engineering, data science, vendor strategy and AI innovation while working closely with product and platform teams to enable scalable solutions.

• Lead the strategy for model selection, fine-tuning and training using approaches such as PEFT and LoRA on proprietary telecommunications data.
• Deliver high-complexity proof of concepts and pilot programmes for emerging AI use cases and support successful transition into production environments.
• Provide leadership and subject matter expertise across data science, statistical modelling, machine learning and AI algorithms.
• Define and oversee model governance frameworks, including model drift monitoring, hallucination measurement, performance evaluation and accuracy tracking.
• Evaluate and recommend the optimal mix of proprietary, open-source and vendor-based AI models, including solutions from Microsoft, Google, OpenAI and Mistral.
• Collaborate with platform engineering teams to ensure models are deployable, scalable and operationally effective.
• Lead distributed teams of machine learning engineers, data scientists and researchers across a complex multinational environment.
• Manage model training compute budgets, including GPU utilisation and research and development investments.
• Drive continuous innovation by evaluating emerging developments in AI, model optimisation, quantisation and related technologies.
• Deliver measurable outcomes including pilot-to-production conversion, model performance improvements, faster delivery cycles and accelerated time to market.

• Degree in Computer Science, Data Science, Mathematics, Physics or a related discipline.
• Deep…