Salary: £90,000 - 100,000 per year Requirements: Strong Data Science background with hands-on machine learning experience Experience deploying ML models into production environments Understanding of data engineering concepts and modern cloud data platforms Architectural thinking around data platforms and ML systems Experience working with messy, multi-source datasets Leadership experience managing small, high-impact teams Proactive in defining standards and shaping the data roadmap Responsibilities: Designing and improving a scalable AWS-based data platform Rationalising fragmented data across multiple systems Leading the full machine learning lifecycle from ingestion and feature engineering through to deployment Improving neural network and rule-based matching systems used to identify the same entities across different sources Embedding robust MLOps and model monitoring Building a coherent data architecture that supports future AI development Leading and developing a team of Data Scientists and Data Engineers Technologies: AI AWS Cloud Machine Learning Network Web More: We are a high-growth B2B SaaS company based in London, where Machine Learning and AI are core components of our products. Our platform specializes in aggregating messy data from various sources through web crawling, structuring, matching, and analyzing it to power a suite of SaaS tools. We offer a competitive salary of £90,000 – £100,000 plus meaningful equity, with a hybrid working model that typically requires 2–3 days in the office. In this hands-on leadership role, you will shape the foundations of our data and AI platform while leading a small, impactful team. last updated 11 week of 2026