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Encord in London is seeking an entry-level Finance & Legal assistant to support a small finance team with supplier payments, customer invoicing, bookkeeping, VAT returns, expenses, and month-end reconciliations. Precision and timeliness matter in every task.
The ideal candidate has 1–2 years of hands‑on finance or accounting experience, a solid grasp of payables, receivables and invoicing, and a knack for spotting manual steps to improve.
Finance & Legal · London · Full-time · Entry level
This role is the operational backbone of a small finance team: running supplier payments, customer invoicing, bookkeeping, VAT returns, expenses and month end reconciliations accurately and on time. A strong candidate has one to two years of hands on finance or accounting work, solid grasp of payables, receivables and invoicing, and real comfort in spreadsheets. The posting also wants someone who spots manual steps and improves them rather than just following them.
The core accounting work stays human in judgment and accountability, but the tools around it are shifting toward AI native finance stacks, which the posting names as an advantage. Much of the routine reconciliation and data entry can be sped up or partly automated, so the value moves toward checking outputs, designing cleaner workflows and explaining numbers to other teams. Accuracy and ownership matter more, not less, when systems do more of the processing.
At a company whose product is data infrastructure for physical AI, this role offers a close view of how a fast growing AI business actually bills, spends and reports. AI experience would come from working with AI assisted finance and spreadsheet tools, improving billing and expense workflows, and learning how finance supports teams building multimodal AI products. Building that means getting hands on with automation in reporting and reconciliation and understanding the company's product enough to partner with the teams around it.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.