Head of Artificial Intelligence
Full time
at Thales
in
United Kingdom
Posted on December 25, 2024
Job details
Head of AI Responsibilities
- Strategic Leadership
- Be the face of AI for Thales UK
- Oversee the implementation of the cortAIx Factory AI and MLOPS strategy
- Practice lead across the Data & AI job family in Thales UK
- Design & Governance
- Serve as the principal authority on AI design, providing expert guidance on best practices and industry standards.
- Ensure the design of AI models, algorithms, and data architectures meets business, technical, and regulatory requirements.
- Establish and enforce governance frameworks for AI algorithms and implementation to production.
- Promote best practices in AI ethics, robustness, transparency, and governance.
- Market Engagement
- Monitor industry trends, market landscapes, and benchmarks to maintain a technical edge.
- Identify and engage third-party collaborators to enhance the capabilities of the AI Factory team as needed
- AI delivery
- Work with Head of cortAIx Factory Engineering Delivery and Head of cortAIx Factory Product to enact the cortAIx mission
- Work with the Engineering management team in the UK to derive and deliver capability improvement plans for AI
- Line management responsibility for Data Science and AI resources in the Data and Digital Centre (DCC)
- Work across DCC to support the planning and execution of our data and digital transformation
- Experience of working in the UK Defence AI sector
- A degree in computer science, artificial intelligence, or a related field. And / or appropriate hands-on experience of practical AI engineering
- Extensive knowledge of Data Science and AI solutions, along with experience in data product management
- Demonstrable knowledge and experience of MLOps practices.
- Familiarity with data analytics, technology, and governance.
- Excellent stakeholder and project management skills, with experience in client-facing roles.
- Strategic mindset with the ability to balance innovation with business needs.
- Experience in user interface design and user experience considerations.
- Understanding of the software development lifecycle, including requirements analysis, quality assurance, design, scheduling, implementation, issue tracking, version control, and deployment.
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