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Lead Backend Engineer, Data & AI

Thirdfort
UKRemotefull_timeVerifiedPosted 7 Oct 2025
💰 £115,000/yr(£25,000/yr£115,000/yr)

About the role

We’re on a mission to protect society from fraud and money laundering. We’ve already protected over 2.3 million people through life’s big transactions, with a core aim to protect 3.5 million people by the end of 2025.
Fraud and regulation are rising, costing the UK economy over £100bn every year; this makes it more difficult for businesses to protect themselves and their clients - individuals like you and me - from fraud and money laundering.
Our co-founders Olly and Jack were led to this area when a friend was defrauded of £25K when buying their first property. At the time, anti-fraud technology didn’t exist, which meant that completing the anti-fraud checks required in these processes was largely manual. These big life moments should be exciting, but instead are often confusing and scary due to the painful process of completing these paper-based checks and the risk of fraud.
Thirdfort helps businesses to facilitate these anti fraud checks so that individuals know they can transact safely and seamlessly with professionals during these big transactions.
Our anti-fraud platform provides a secure way for professionals in regulated sectors like Lawyers, Estate Agents and Accountants to transfer funds and verify sensitive information through app based document checks, facial recognition and open banking.
Over 1000 businesses now trust Thirdfort to verify their clients. We are FCA regulated and have raised over $25m in capital from leading Fintech investors Breega and Element Ventures, as well as the founders of Zoopla, Funding Circle, Comply Advantage, Tessian, Fenergo and Fidel.

Engineering at Thirdfort:
At Thirdfort, we're working to build an outstanding engineering culture that empowers our team to do their best work. We have a culture which cultivates an honest and open environment, where everyone's opinions are heard and valued.
We are looking for a Lead Backend Engineer to join our Data & AI team within the Engineering function. Your mission will be to integrate data-driven insights and capabilities into our customer-facing products and core business operations. This is a new and vital role with a distinct focus on leveraging your data engineering skills to deliver real outcomes for customers. You will play a key part in leveraging our data to its fullest by establishing the infrastructure needed for analytics and reporting as well as the effective application of Machine Learning (ML) and Large Language Models (LLMs).
This is a hands-on individual contributor role for a leader who can shape conversations, weave together business needs with technical opportunities, and deliver pragmatic solutions that have a concrete business impact. You will report directly to the Head of Engineering as part of a specialist team.
Our Product and Tech teams are remote first and so this individual can be based anywhere in the UK. You are welcome in either of our offices, London and Manchester, as we truly value the times when we can come together in person. Ultimately we trust our team to work in the way that suits them best.

As a Lead Backend Engineer, Data & AI, you will:

  • Define and own the data strategy in collaboration with the Head of Engineering, managing data infrastructure, schema and APIs, and ensuring data is user-friendly.
  • Establish strong data foundations by identifying data sources, assessing their quality, iterating on the data model, and improving our data pipelines.
  • Identify opportunities for product-driven AI initiatives and build working prototypes or complete solutions to deliver quick wins.
  • Develop our foundational data architecture and outline key focus areas for the next 1-2 years, including democratising data access and determining our approach to LLM usage.
  • Consider opportunities to adopt recent advances in AI workflows including Model Context Protocol (MCP), Agentic approaches leveraging existing foundational models.
  • Take ownership of identifying and mitigating security, quality, and compliance risks within the data estate.
  • Support and advise colleagues on the existing data stack.

We're looking for someone who:

  • Has a product engineering mindset with a strong focus on customer outcomes.
  • Has at least two years of practical experience in data engineering, including ingesting and transforming data and designing schemas.
  • Has professional experience (at least 6+ months) integrating Machine Learning (ML) and Large Language Models (LLMs) into real business processes.
  • Can demonstrate taking the lead on designing and implementing an AI solution that delivered significant customer benefits, from exploring the business use case to technical design.
  • Has significant experience building responsive,

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Company

Thirdfort

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