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Senior AI Platform Engineer

Fundingcircle
CompanyFundingcircle
CategoryEngineering
LocationLondon
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted28 Apr 2026
Last verified3 Aug 2026
SourceEmployer career page (ashby)
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Description
WE’RE ON A MISSION TO BACK THE UK’S SMALL BUSINESSES LIKE NO ONE ELSE 🚀 Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks. At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts. We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better. The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy 📈 Come and join a mission that matters! [Read our Impact Report https://www.fundingcircle.com/uk/impact] | [See our Trustpilot https://uk.trustpilot.com/review/fundingcircle.com] THE ROLE ⚡ 📍 London (Hybrid) | 🤝 2 days in the office | 💰 Competitive Salary + Benefits Data is core to our mission at Funding Circle to build a better financial world as well as being our key asset that everyone across the organisation has a part to play in making sure that we look after it, allowing us to better support our customers. Our central data team lives in our Tech org and reports to the VP of Data. In order to strengthen our data maturity and become truly data driven we are committed to: - Building a strong data culture where data is treated as an asset - Empowering our circlers to become highly data fluent and confident self serve users - Enhancing our world class data platform - Creating data products across all domains - Transforming our business with ML & AI You will be joining our AI and Machine Learning team, taking a pivotal role in building the platform that underpins Funding Circle's AI strategy and allows our existing GenAI applications to scale. This is a senior, hands-on technical role focused on enabling the development, deployment, and management of AI applications and agents across the business. - Architect, build, maintain cloud-based infrastructure for hosting and serving AI (ML and GenAI) models and applications. - Develop and design tooling and frameworks to standardise AI development, implement systems for central discovery, monitoring, and governance of AI agents, and contribute to the technical evaluation and integration of third-party AI tools. - Work closely with stakeholders (Product, Data Science, Engineering, Security, Legal) to ensure the platform meets business needs and embed Funding Circle's Responsible AI framework into the platform's design and operation. - Act as a subject matter expert on AI platforms and infrastructure, establish best practices, share knowledge, potentially mentor other engineers, and stay current with the latest AI/ML technologies. WHAT WE’RE LOOKING FOR 🌱 Experience as an engineer within the AI space is preferred. However this role is also suitable for Senior and Lead engineers with experience and skills in product engineering, data engineer, cloud platform engineering who are looking to deepen their AI expertise. - Understanding and hands-on experience with LLM based applications and related technologies (e.g. RAG, vector databases, agent frameworks). Experience managing and deploying AI Agent and Knowledge Management systems is a plus (e.g Glean, Gemini Enterprise, Amazon Quick, Writer, Sana etc.) - Proven ability to design, build, and operate scalable, secure systems on cloud platforms, using Infrastructure as Code, containerisation, serverless, data storage - Excellent ability to work effectively in cross-functional teams, manage stakeholders, and clearly explain complex technical ideas - Strong analytical and troubleshooting skills with a practical, results-oriented approach, the ability to navigate ambiguity, t
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