Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Director, Artificial Intelligence responsible for driving the strategic development, deployment, and scaling of AI capabilities across the organization and building Centre of Excellence ground up.

S.i. Systems
London
1 month ago
Applications closed

Related Jobs

View all jobs

Director, Machine Learning Centre of Excellence

Artificial Intelligence & Data Policy - Executive Director

Analytics & Data Science Manager

Pre-announcement: artificial intelligence humanities sandpits: Canada, UK and US

Director-Data Science and Analytics

Director of Machine Learning

Our Financial services client is seeking a Director, Artificial Intelligence responsible for driving the strategic development, deployment, and scaling of AI capabilities across the organization and building Centre of Excellence ground up.

Permanent role, Remote (PST hours) - Candidate must be based in ON, AB and/or BC - must be open to some travel

Overview:

You are a senior leader with deep expertise in machine learning, data science, and enterprise AI platforms, as well as a strong ability to translate complex technologies into practical business applications. You will lead cross-functional teams and influence senior stakeholders to ensure AI solutions are ethical, scalable, and aligned with organizational priorities. 

Must Have:

10+ years in data science, machine learning, and/or AI roles, with at least 5 years in a leadership capacity.  Experience building and leading AI teams or CoEs in complex, regulated environments.  Deep knowledge of AI technologies, frameworks, ML/AI model developments and ML/AI risk management best practices, relevant global laws, regulations, and ethical and risk management standards.  Advanced degree in a quantitative discipline (e.g., Data Science, Computer Science, Engineering, Math); an MBA or executive education is a strong asset.  Proven ability to deliver AI-enabled business value through collaboration and innovation.  Exceptional leadership, communication, and change management skills. 

Responsibilities

Working closely and cooperatively with our Innovation and Strategy teams, and Data and Governance teams, define and implement AI vision, roadmap, and priorities across the enterprise.  Act as a strategic advisor on emerging AI trends, risks, and opportunities.  Champion responsible AI practices and governance to ensure fairness, transparency, and accountability.  Monitor emerging legal, regulatory and industry standards in AI and provides strategic guidance to the organization.  Centre of Excellence Enablement  Build and lead a high-performing cross-functional AI CoE, creating a hub of expertise, experimentation, and best practices.  Establish scalable processes and platforms to develop, deploy, and monitor AI/ML models.  Design and best practices of effective AI risk controls, metrics, compliance, performing risk management activities, and where required, support data risk management oversight including maintaining appropriate documentation (procedures, risk tiering methodology, escalation thresholds and reporting).  Assist in the development and implementation of an AI compliance program that defines, develops, maintains, and implements policies and procedures to ensure ethical AI practices, including the day-to-day management of the AI Governance program.  Define and implement standards, tools, and frameworks that enable safe and effective use of AI.  Innovation & Delivery  Partner closely with our Innovation and Strategy teams to provide thought leadership and align on priorities and delivery strategies.  Partner with business units, and Data and Governance teams, to identify and deliver high-impact AI use cases — from personalized member experiences to fraud prevention and operational efficiency.  Support the research, development and deployment of AI technologies, staying abreast of emerging AI trends and technologies.  Oversee the AI project portfolio to ensure delivery excellence and strategic alignment. 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.

Why Now Is the Perfect Time to Retrain and Launch Your Career in Artificial Intelligence

The artificial intelligence revolution isn't coming—it's here. From the bustling tech hubs of London and Manchester to the emerging AI clusters in Edinburgh and Cambridge, the UK is experiencing an unprecedented demand for skilled AI professionals. If you've been considering a career change or looking to future-proof your professional trajectory, there has never been a better time to retrain and enter the field of artificial intelligence.