Top Tech Jobs & Startup Jobs in London

Develop and amplify employer brand through content creation, social channels and events. Curate and publish content on LinkedIn, Glassdoor and careers site, support thought leadership, coordinate employer brand activity at events, manage projects to budget, and measure outcomes to improve recruitment and talent engagement.

Build and maintain scalable Node.js backend services and APIs in a cloud architecture. Collaborate with Product, Engineering, and Data teams to deliver resilient, well-tested solutions. Contribute to AI-enabled products and agentic AI systems, implement AI tooling, and support reliability, observability, and performance optimisation.

Design, build and maintain DBT models, transformation pipelines and analytics workflows. Create BI dashboards, implement data quality checks, optimise data models, support platform migrations, and collaborate with stakeholders to deliver reliable, scalable analytics solutions.

Provide first-line governance for AI systems across lifecycle: assess and test models (including generative and agentic systems), produce technical risk reports and metrics, advise on 'License to Operate' decisions, consult on high-risk system design, and partner with Data Science, ML Engineering, Risk & Compliance to evolve governance standards.

Design, operate, and optimise highly available database and storage systems to improve reliability, performance, scalability and observability. Lead platform improvements, automate operations, support data pipelines, participate in incident response and root cause analysis, and collaborate with engineering and data teams to evolve platform capabilities.

Design, implement, test, secure, and maintain backend services in collaboration with product and engineering leadership. Improve cross-team efficiency, embed testing and security practices, participate in code review, pairing, CI/CD, and engineering communities of practice.

Partner with cross-functional product teams to analyse large behavioural datasets, define product metrics, design and evaluate A/B tests, build measurement frameworks, and deliver insights via visualisations to influence product roadmaps and drive commercial outcomes.

Own and deliver a value-driven product roadmap, lead product initiatives from concept to delivery, collaborate with Engineering, Design and Data, use customer insight and analytics to prioritise, enable agile delivery and governance, and build technical understanding of price comparison flows and partner integrations to drive customer and business outcomes.

Lead commercial finance partnership for Technology, Data and AI; shape investment decisions, build business cases and KPIs, prioritise portfolios, quantify ROI and TCO, and translate technical investments into measurable customer and financial outcomes.

Build and maintain backend services, APIs and developer tooling to enable AI-enabled applications and agent-ready platforms; integrate LLMs and RAG, implement agent orchestration and MCP, and contribute to AI observability, testing and model evaluation in collaboration with engineers and product teams.