Top Tech Jobs & Startup Jobs in London

Lead the development of AI-powered personalized learning solutions, including deep learning, NLP, information retrieval, LLM, and multimodal systems. Shape Preply’s scientific roadmap, advise senior leadership, partner with product and engineering teams, mentor scientists and engineers, and establish machine learning architecture, research, and deployment best practices. The role spans research through production and focuses on scalable solutions for personalized learning and intelligent tutor systems.

Own data strategy and experimentation for a critical product domain, influencing senior leadership decisions through causal inference, forecasting, LTV modeling, retention analysis, pricing analysis, and scenario planning. Define key metrics, lead strategic analytical initiatives, improve measurement frameworks, and mentor senior data scientists while partnering with Product, Engineering, and Business leaders.

Own and scale Preply’s revenue operations systems, architecture, automation, data governance, reporting, and tooling strategy. Lead Salesforce and connected GTM platforms, improve lead-to-renewal workflows, build dashboards, manage vendors and budgets, and deliver insights for forecasting and growth decisions. Lead a small team while partnering across Sales, Marketing, Customer Success, Finance, Product, and Enablement to implement scalable processes and improve adoption, accuracy, and efficiency.

Lead technical strategy and architecture for Learning Teams, drive end-to-end strategic initiatives, evolve core services for scalability and reliability, improve engineering practices and developer experience, mentor senior engineers, and make build-vs-buy and tooling decisions.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

The role involves owning operational processes for the Data & Applied AI team, ensuring alignment, tracking project delivery, and improving team efficiencies while working closely with the VP.

Leads and develops high-performing engineering teams responsible for learner growth or monetization products. Sets technical and product strategy, drives execution, coaches engineers, guides architecture and technical trade-offs, and promotes engineering best practices, reliability, quality, and continuous improvement. Partners with Product, Data, and Design to prioritize high-impact initiatives and deliver measurable customer and business outcomes.

Lead platform security across cloud and Kubernetes environments, build detection and response capabilities, improve logging and identity access controls, drive cross-functional security initiatives, create runbooks and playbooks, participate in on-call rotations, and automate secure patterns across CI/CD and infrastructure.

As a Senior Data Engineer, you will design and manage data ingestion pipelines, ensuring scalability, reliability, and quality of data for analytics and machine learning purposes. You'll collaborate with cross-functional teams to define data standards and governance while promoting self-service and standardization across the organization.

Lead recruitment marketing activations to attract engineering, data/AI, design and commercial talent. Plan and execute events, campaigns, Glassdoor strategy, careers page improvements, and paid/organic recruitment channels. Measure impact and partner with TA, Brand, and stakeholders to turn attraction into qualified hiring pipelines.