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Lead the Data Science team in building reliable ML and AI solutions, from problem framing and data exploration to deployment, monitoring, and continuous improvement. Set technical standards for clean code, reproducible experiments, model tracking,
Lead the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted. Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
You will be responsible for deploying, operating, and securing the infrastructure and platform services that support AI‑assisted Vulnerability Management workflows. You will work closely with AI engineers and security teams to enable reliable, scalable,
Design, train, and deploy ML/LLM models that automate catalogue enrichment, moderation, and categorisation at scale, owning accuracy, latency, and cost in production. Drive the transition from frontier API models to fine-tuned open-weight models: build
In this role you define the vision and strategy, design the architecture, evaluate suitable solutions and drive their adoption. You’ll work at the intersection of AI and developer tooling, the internal development platforms and organizational change -