Manager Lead AI Engineer (Audit Technology)
A high-impact engineering leadership role at one of the world’s most respected professional services firms, building production-grade AI systems that are reshaping the future of audit delivery.
Job Title: Manager Lead AI Engineer (Audit Technology)
Location: London / Manchester / Leeds / Glasgow (hybrid, flexible working available)
Job Type: Permanent, Full-time
Sector: Technology / AI Engineering / Professional Services
About the Company
Our client is a Big 4 professional services firm whose Audit Technology team is at the forefront of innovation combining Artificial Intelligence, Data Engineering, Analytics and Software Development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, the team has seen rapid growth in recent years and is building some genuinely exciting products at scale.
The Role
As Lead AI Engineer you will report to the AI Engineering Squad Lead and take ownership of the technical delivery of AI projects within your squad. From proof-of-concept through to enterprise-grade production deployment, you will apply expertise in AI engineering, cloud platforms and generative AI to embed intelligence into critical audit workflows. You will also mentor junior engineers, promote best practices, and foster a culture of collaboration and continuous improvement.
Key Responsibilities
- Leading hands-on technical delivery of AI projects, contributing actively to codebases and architectural decisions
- Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling
- Owning the implementation of ML pipelines, APIs and data integration workflows
- Enforcing MLOps best practices, coding standards, version control and performance optimisation
- Collaborating cross-functionally with data scientists, product managers, platform engineers, QA and audit professionals
- Mentoring junior engineers and contributing to internal capability-building and knowledge-sharing initiatives
Skills & Experience Required
- Significant senior backend development experience with strong Python proficiency (async programming, concurrency, multithreading)
- Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices
- Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers
- Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph
- Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence)
- Good knowledge of generative AI, machine learning, deep learning or NLP
- Strong communication skills able to explain technical concepts to varied audiences
Qualifications
- Bachelor’s degree (Master’s or PhD preferred) in Computer Science, AI, Data Science, Statistics, Engineering or a related technical field
- Advanced certifications in AI, machine learning, cloud computing or data engineering highly advantageous
- Professional accounting qualification desirable but not required
Nice to Have
- Experience with Microsoft Graph API
- Background in audit, financial services or regulated industry technology
What’s on Offer
A competitive salary and benefits package, flexible hybrid working across 20+ UK locations, and the chance to be part of a rapidly growing technology capability at one of the world’s leading professional services firms. There has never been a better time to join.
Locations: London Canary Wharf | Manchester | Leeds | Glasgow
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