At a Glance
- Tasks: Design and deploy scalable AI solutions for innovative audit platforms.
- Company: Join KPMG's dynamic Audit Technology team driving innovation in auditing.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of AI technology, transforming audit practices for the future.
- Qualifications: Experience in AI/ML solutions and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality.
As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products' size and scale have rapidly expanded, leading to significant growth in our technology capability. There's never been a better time to join us.
With our ambitious growth plans, your future here is something to get excited about. As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery.
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.
Summary of role purpose:
- Contribute to the design, build, and deployment of scalable AI and Generative AI solutions within core audit platforms.
- Support delivery of AI engineering initiatives, ensuring high-quality, maintainable, and production-ready solutions.
- Work closely with cross-functional teams to integrate AI capabilities into products and services.
- Support capability development within the team by sharing knowledge and contributing to best practices in AI engineering and AI-native development.
Description of the role:
- Scalable AI Development: Design, develop, and deploy AI systems for audit use cases, producing clean, efficient, and scalable code aligned to software engineering principles, LLMOps practices, and cloud-native development.
- AI-Powered Delivery: Support the implementation of AI pipelines, APIs, and data integration workflows, leveraging an AI-Native Engineering approach and tools such as Claude Code and GitHub Copilot.
- Operational Excellence: Follow established development patterns and standards, contributing to LLMOps practices including version control, monitoring, evaluation, and performance optimisation of AI solutions.
- Cross-Disciplinary Collaboration: Work closely with product managers, engineers, and QA teams to deliver integrated AI solutions aligned to requirements and timelines.
- Knowledge Sharing: Contribute to team capability through knowledge sharing, supporting peers, and promoting the use of reusable components and best practices.
Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices.
The person:
Experience and knowledge requirements:
- Experience delivering AI/ML solutions, including experience deploying solutions in production environments, with a focus on quality and scalability (E)
- Solid foundation in AI engineering, including AI/ML lifecycle concepts, generative AI applications, and system design (E)
- Experience delivering rapid prototypes and proof-of-value solutions, translating ideas into working solutions under tight timelines (E)
- Strong Python expertise with hands-on experience in modern AI/ML frameworks and libraries (e.g. LangChain, LangGraph, Microsoft Agent Framework, Pydantic, PyTorch, Spark) (E)
- Familiarity with modern engineering practices, including Git and version control, with an understanding of branching strategies, code reviews, and collaborative development workflows. (E)
- Exposure to LLMOps practices, including prompt and model versioning, evaluation frameworks, monitoring, and performance optimisation (E)
- Experience with cloud and data platforms, such as Azure, Databricks, or similar (E)
- Experience in regulated or enterprise environments (e.g. financial services, audit, public sector) (D)
- Experience working with AI development tools (e.g. GitHub Copilot, Claude Code, or similar) (D)
Behavioural Attributes and Skills:
- Strong problem-solving skills with attention to detail
- Collaborative and team-oriented mindset
- Eager to learn and adapt in a fast-evolving AI landscape
- Ability to communicate technical concepts clearly to a range of stakeholders
- Delivery-focused with a pragmatic approach to engineering challenges
Qualifications:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or related field (E)
- Master’s or PhD in a relevant discipline (D)
- Advanced certifications in AI, Machine Learning, Cloud (e.g., Azure), or Data Engineering (D)
Our Locations:
We are open to talk to talent across the country but our core Tech hubs for this role are: Glasgow, Leeds, London Canary Wharf, Manchester. With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options.
Assistant Manager - Senior AI Engineer employer: KPMG LLP
KPMG LLP is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Audit Technology team. With flexible UK-wide opportunities and a strong emphasis on employee growth through cutting-edge projects in AI and Generative AI, KPMG provides a rewarding environment for professionals looking to make a significant impact while enjoying a healthy work-life balance.
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