Top Tech Jobs & Startup Jobs in London

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Lead development and deployment of multimodal neural search and ranking models for personalized learning. Conduct research, prototype and productionize deep learning NLP/IR solutions, collaborate cross-functionally, mentor junior scientists, and establish ML best practices.

Lead backend architecture and cross-functional projects, build scalable Python/Django services and integrations, mentor engineers, improve performance and observability, and drive data-informed product decisions.

Partner with Payments Operations to analyze and optimize pay-ins, payouts, and fraud. Build statistical and ML models, design experiments, monitor transaction health, improve risk rules, and deliver insights to shape product and monetization strategy.

Lead design and evolution of scalable data models and ETL/ELT pipelines, own Looker/LookML BI layer, ensure data quality/governance, collaborate with data science, and drive company-wide analytics strategy.

Work in a cross-functional team to design, build, and own backend features and services (primarily Python/Django), implement A/B tests, ensure monitoring and reliability, troubleshoot production issues, and guide technical decisions to improve quality and scalability.

Own and build Preply's strategic partnerships function end-to-end: define strategy, identify and secure global digital and fintech partners, lead negotiations and execution, collaborate with Product/Engineering/Growth/Brand/Payments/Supply, unify partnership efforts, track performance, and scale a team as traction grows.

Lead and scale Preply's Data & ML Platform teams to build end-to-end ML infrastructure: real-time pipelines, feature stores, training and serving, MLOps, and LLM optimization. Define platform vision, hire and coach teams, ensure reliability, efficiency, and close collaboration with Applied AI and product stakeholders to accelerate model-to-production at global scale.

Lead and scale Preply's data products function: define vision, build ML/LLM and data platform products, drive experimentation, measure business impact, hire and coach teams, and partner across Product, Engineering, and Data to deliver scalable, product-first data capabilities.

Lead and scale global payroll across US, UK, Ukraine, Spain and EOR partners; manage two specialists; ensure compliance, reporting, automation, month-end reconciliation, and IPO audit readiness.