Director - Head of AI - Audit Technology

KPMG
Milton Keynes
1 year ago
Applications closed

Related Jobs

View all jobs

Director, Oncology Genomics & Translational Data Science

Director of Software Engineering: Observability & AIOps

Director of Oncology Genomics & Data Science

Executive Director: BHF Data Science Centre

Machine Learning Engineer

Senior Director, Data Science and Analytics

The Role

 

We’re looking for an experienced Head of AI to join the Audit technology team.

 

The individual in this role will be instrumental in transforming the audit function by leveraging AI technologies to streamline processes, enhance audit quality and provide valuable insights.

 

The individual will report to the Head of Analytics & AI.

 

Responsibilities

 

Development & implementation of an AI strategy for the UK audit business, working in collaboration with the other KPMG UK functions and the global Audit organisation. Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organisation. Collaborate with stakeholders and project managers to turn business goals into scalable technical solutions, delivering value for thousands of KPMG auditors. Oversee the AI model lifecycle, including training, monitoring and optimisation. Coach and mentor our team as we build production-grade data and machine learning solutions. Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies. Develop and execute a product roadmap for AI applications in audit, in alignment with the overall business strategy. Ensure that AI solutions are built responsibly and ethically, aligned with KPMG’s Values. Effectively manage relationships with key technology alliance partners, ensuring value for money. Stay abreast of the latest AI and emerging technologies, proactively educating the business on the art of the possible and generating new ideas. Develop thought leadership in the application of AI within Audit, helping to strengthen KPMG’s brand.

 

Experience & skills

 

Bachelor’s degree in engineering, computer science or a related quantitative field. Minimum of 5 years of hands-on experience designing and implementing AI solutions at scale, with at least 3 years in a leadership role. Significant expertise in AI/ML fundamentals. Strong background in software engineering, data engineering and data platforms, with a track record of overseeing full-stack development and delivering production-grade solutions. Up-to-date knowledge of, and experience with, AI/ML technologies and their trends, including various libraries and tools (e.g. Azure AI/ML Studio, Azure OpenAI, Databricks, Python, langchain, Microsoft Semantic Kernel etc). Experience of implementing production-grade generative AI solutions, with knowledge of advanced generative AI concepts including prompt engineering, retrieval augmented generation, agents with skills/tools/functions, chains/planners, and LLM model evaluation. Knowledge of how products work, scale and perform. Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning. Advanced data science and mathematical skills (e.g. PhD in computational modelling, machine learning, statistics, computer science). Experience with modern databases, cloud environments, and data ecosystems. Experience defining and leading large-scale projects with multiple stakeholders. Experience within a leadership role where you have proven success with building and maintaining teams.

 

People & Culture

 

Embrace and embed our culture ambition of high challenge, high support which is grounded in Our Values. Operate with a curious and sceptical mindset ensuring that this is embedded in your everyday work. Actively lead and embed a coaching culture to get the best out of others in an environment where everyone in the team feels empowered to speak up or challenge where appropriate. Be inclusive and embrace the opportunity to work with other teams within Audit and across the firm in an integrated way. Have a sense of community, purpose, and fun.

 

#LI-AB1

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.