The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes.

Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment.

Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression.

Our Programme Advisory and Capital Excellence (PACE) team operates within KPMG’s Major Projects Advisory (MPA) practise. We deliver high impact outcomes for clients across the UK and beyond, with a focus on infrastructure and project, programme and portfolio (P3M) excellence.  

Our team brings together cross-sector experts in complex project and programme delivery, strategic portfolio management and capital delivery transformation. We support clients to transform delivery capability, drive change and unlock long-term sustainable value.  As a recognised market leader, we are proud to partner with an impressive client base across both private and public sectors, delivering lasting results in several market sectors, namely:

• Energy
• Water
• Defence
• Government
• Oil and Gas
• Healthcare
• Transport
• Financial Services
• Retail

KPMG’s Strategy & Performance Transformation practice is looking for exceptional candidates for a Manager role.  The role will focus on Deal Strategy within the Media industry as part of the wider Telecommunications-Media-Technology sector, but with scope to work on the wider range of services including Growth Strategy, Deal Strategy, Cost and Operational strategy (including Economic Profitability Analysis) and Enterprise-wide Transformation.

The Strategy & Performance Transformation team is part of KPMG’s rapidly expanding Strategy Group, which delivers value for clients by challenging conventional thinking, bringing deep industry and functional insights and executing with investor-grade rigour.  We are a diverse team of over 150  practitioners, working collaboratively with and orchestrating KPMG’s broad set of capabilities within our Deal Advisory business.

We are seeking an experienced, skilled, and proactive Platform Engineering Lead to join our dynamic team. In this role, you will play a crucial part in establishing and leading a new engineering vertical within ATDT, shaping a modern engineering tower to support developers and cloud engineers. You will oversee the design, development, and maintenance of cloud platform solutions, enabling seamless integration of modern engineering techniques across the team.

In addition, you will lead a team of engineers, including specialists in both traditional infrastructure and Azure DevOps, ensuring the stability, availability, and security of the Azure platforms used by product developers.

The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes.

As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights.