Top Tech Jobs & Startup Jobs in London

Lead a data science team building always-on predictive models and pipelines for an AI platform. Own model lifecycle: production deployment, monitoring, drift detection, retraining, and measurable business outcomes. Provide technical leadership, code reviews, architecture decisions, and stakeholder collaboration. Hire and mentor data scientists, champion responsible and auditable AI, and adopt ML platform tooling (MLflow, model registries, Databricks) and LLM/RAG approaches where appropriate.

Lead design and delivery of scalable analytics models, transformation pipelines, and BI solutions. Provide technical leadership across teams, improve data quality, observability, and CI/CD practices, reduce technical debt, mentor engineers, and partner with product and platform teams to deliver trusted, production-grade data solutions.

Build, deploy, and maintain production ML and AI systems: model packaging, lifecycle automation, monitoring, batch and real-time workloads, and platform improvements while collaborating with data scientists, engineers, and product teams.

Lead and optimise paid digital campaigns across social, display, affiliates, and app acquisition channels (Meta, TikTok, Apple, Google). Improve performance via audience targeting, creative testing, bidding and budget optimisation. Analyse metrics (CPI, CPA, ROAS), collaborate with creative, product, analytics and agencies, and scale paid media to drive efficient customer acquisition and app installs.

Design, build, operate and optimise scalable data pipelines and platform components. Deliver production-ready solutions, support production incidents, improve data quality, and collaborate across engineering and analytics teams.

Design end-to-end digital product experiences across web, iOS and Android. Create wireframes, prototypes and high-fidelity UI, translate business and user needs into intuitive designs, hand off to developers, and collaborate with product, engineering and stakeholders using research and data to inform decisions.

Design, build, operate, and own cloud infrastructure solutions within agile product teams. Provide technical direction, optimise cost, security, and performance, mentor colleagues, and drive platform improvements using cloud, DevOps and AI tools.

Design, build, and deploy machine learning solutions to improve customer journeys, pricing, and personalization. Perform feature engineering, statistical analysis, A/B test design and evaluation, collaborate with cross-functional teams, and support model deployment, monitoring, and responsible AI practices. Mentor juniors and contribute to team standards and knowledge sharing.

Support and execute SEO and Search Anywhere strategies across products. Conduct keyword, competitor, and search behaviour analysis (including AI/LLM platforms). Use SEO and analytics tools to analyse performance, support technical and content optimisation, and produce dashboards and actionable insights for stakeholders.

Support development, execution and optimisation of multi-channel media campaigns (AV, social, digital, OOH). Coordinate with agencies and stakeholders, monitor performance against KPIs, prepare reports/dashboards, manage budgets, implement testing and learning, and recommend optimisations to improve media effectiveness and ROMI.