Senior Manager - Principal AI Engineer

Salary: £41,000 - 81,000 per year

Requirements:

• Bachelors degree, preferably a masters or PhD, in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field, or equivalent professional experience.
• Strong knowledge of generative AI, machine learning, deep learning, natural language processing, and related AI fields.
• Proven track record of designing, developing, and deploying AI systems in production environments.
• Proficiency in Python and key ML libraries such as PyTorch, PySpark, scikit-learn, and Hugging Face Transformers.
• Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph.
• Proven experience with modern engineering practices including Git, version control, unit testing, and containerisation.
• Familiarity with agile methodologies and tools such as Jira and Confluence.
• Exceptional leadership and communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Advanced certifications in AI, machine learning, cloud computing, or data engineering are highly advantageous.
• Professional accounting qualification is preferred but not required.

Responsibilities:

• Lead a high-performing AI engineering team of software engineers and AI practitioners, providing hands-on technical direction and supporting career growth.
• Design, develop, and deploy scalable, reliable, and maintainable production-grade AI systems for audit applications.
• Oversee the full lifecycle of AI product engineering, from architectural design and prototyping to CI/CD-enabled deployment.
• Champion automation, testing, observability, and MLOps best practices across AI pipelines.
• Define reusable development patterns, enforce coding standards, and promote version control, performance optimisation, and maintainability.
• Partner with data scientists, product managers, platform engineers, and QA teams to align on requirements, timelines, and integration plans.
• Ensure AI capabilities are embedded within core audit platforms and services.
• Implement engineering controls that support responsible AI use, including model monitoring, explainability, security, and auditability.
• Contribute to AI governance frameworks to help ensure regulatory and ethical compliance.
• Drive initiatives that build internal capability and knowledge-sharing across the Audit Technology function.

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• Confluence
• Databricks
• Embedded
• Git
• Support
• JIRA
• Machine Learning
• MLflow
• MLOps
• Network
• PyTorch
• Python
• PySpark
• Security

More:

We are KPMGs Audit Technology team, working at the intersection of auditing and advanced technology to reshape audit delivery through AI, data engineering, data analytics, and software development. Our mission is to design and implement intelligent, scalable technologies that streamline workflows, improve audit quality, and generate actionable insights for auditors and clients. As part of our global network, we are focused on innovation and building solutions that anticipate future challenges. This is a hybrid role, and as part of our Audit team, you will help strengthen the confidence and trust that business and society need to thrive, while working in an environment that values collaboration, different perspectives, and professional growth.

last updated 36 week of 2026