AI Models Manager

• Degree in Computer Science, Data Science, Mathematics, Physics or a related discipline.
• Deep expertise in Data Science, Machine Learning and Deep Learning, including Transformer architectures.
• Expert proficiency in Python, PyTorch, TensorFlow and the Hugging Face ecosystem.
• Experience with Vertex AI Model Garden and custom model training pipelines.
• Strong understanding of model fine-tuning techniques such as PEFT and LoRA.
• Demonstrated ability to translate complex business challenges into data science and machine learning solutions.
• Experience leading highly skilled technical teams within agile and matrix-based organisations.
• Proven track record of delivering AI and machine learning initiatives across global and distributed teams.
• Experience building collaborative relationships with technology partners and vendors.
• Knowledge of model monitoring, governance, validation and performance optimisation practices.
• Published research or a proven record of delivering complex machine learning systems would be advantageous.

• Opportunity to shape AI model strategy and innovation within a global telecommunications environment.
• Exposure to advanced AI technologies, large-scale datasets and cutting-edge machine learning research.
• Ability to influence enterprise AI product development from experimentation through to production.
• Collaboration with global technology teams, product organisations and strategic industry partners.
• Leadership responsibility across specialised teams of machine learning engineers, researchers and data scientists.
• Opportunity to drive meaningful business impact through pioneering AI solutions.

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.

• Advanced AI model lifecycle management and governance.
• Vendor and multi-model strategy across open-source and commercial AI ecosystems.
• Large-scale AI solution delivery within an enterprise environment.
• AI platform integration and production readiness practices.
• Strategic management of AI infrastructure, compute resources and research investments.
• Cross-functional leadership across product, engineering and data science domains.

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

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