Applied AI / Automation Engineer

Location: London (Hybrid)

Salary: £70k + (DOE)

The Role

A London-based financial services firm operating within the hedge fund and asset management space is seeking an Applied AI / Automation Engineer to join its Data Science function.

This role will focus on designing and building an intelligent reporting and automation platform to support fund operations and administration teams. The successful candidate will work closely with both technical and operational stakeholders to deliver measurable efficiency gains and scalable automation solutions.

The overall objective is to modernise reporting production and reconciliation processes through the application of modern data engineering practices, AI-enabled automation, and agent-based workflows.

This is a hands-on engineering role focused on building reliable, production-grade systems within a complex financial environment.

Key Responsibilities

• Lead the design and development of an end-to-end automated reporting platform.
• Build intelligent workflows to automate data ingestion, validation, reconciliation, and reporting processes, replacing manual operational workflows with scalable, controlled systems.
• Design exception-handling and human-in-the-loop mechanisms where full automation is not appropriate.
• Ensure the platform delivers high levels of accuracy, auditability, and operational resilience.
• Work closely with product and operations stakeholders to translate operational complexity into structured technical solutions.
• Develop the system as a maintainable internal product, rather than a collection of standalone scripts or tools.
• Contribute to the broader evolution of AI-driven operational capabilities across the business.

Experience & Skills

• Strong automation engineering capability with the ability to apply AI in real operational environments.
• Strong hands-on experience with Python and SQL (3+ years)
• Experience designing and implementing data pipelines and automation systems.
• Experience integrating systems via APIs and structured data feeds.
• Experience building reliable, monitored, and maintainable production systems.
• Familiarity with version control (Git) and CI/CD pipelines.
• Experience implementing testing frameworks to ensure system reliability and accuracy.
• Strong systems thinking with the ability to design end-to-end technical solutions.
• Strong communication skills and ability to work cross-functionally with operations teams.

Desirable

• Exposure to financial services workflows such as reconciliation, accounting, or operational controls.
• Experience building systems in regulated or audit-sensitive environments.
• Familiarity with workflow orchestration tools.
• Experience turning internal automation into scalable internal products, including dashboards or tools (e.g. TypeScript, React, Next.js or similar).

Opportunity

This is an opportunity to design and build an AI-driven operational platform from the ground up within a sophisticated financial environment.

Through the application of automation, AI agents, and modern data engineering, the role will help shape how AI augments and transforms operational workflows across the organisation.

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