Top Tech Jobs & Startup Jobs in London

Build and evolve customer-facing Flutter investment applications in a hands-on senior engineering role. Responsibilities include architecture, technical documentation, high-quality tested code, accessibility, troubleshooting, code reviews, mentoring, CI/CD, app-store releases, reactive state management, and design-system development. The role collaborates across product, design, and engineering while influencing technical standards and delivering resilient, performant mobile experiences.

Lead and coach a Product Development team across multiple agile digital feature teams. Establish standards for product definition, requirements, acceptance criteria, refinement, and delivery readiness. Partner with Product, UX, Technology, and Project Management to translate strategy and customer needs into high-quality digital products, resolve ambiguity, manage dependencies, and align priorities. Influence stakeholders, support decision-making, and improve product development practices in a regulated financial services environment.

Individual contributor responsible for building marketing measurement and experimentation capability across Customer Marketing. Design A/B tests and control groups, define KPIs, develop scalable reporting and dashboards (Power BI, Snowflake, Bloomreach, Google Analytics, Content Square), translate data into actionable insights, and coach marketing teams to embed evidence-based optimisation while ensuring data governance and regulatory compliance.

Lead end-to-end customer marketing transformation programmes, managing roadmaps, governance, budgets, risks, and cross-functional delivery. Drive CRM and marketing technology initiatives, stakeholder engagement, benefits tracking, and embedding customer-centric operating models to improve engagement and commercial outcomes.

The Senior Data Scientist transforms ambiguous business questions into actionable insights using Python, SQL, statistical methods, forecasting, regression, classification, segmentation, and machine learning. The role involves analyzing complex datasets, validating models, engaging stakeholders, communicating findings to senior audiences, and translating analysis into commercial decisions. Desirable experience includes time-series modeling, churn and propensity models, cloud data platforms, Streamlit, Power BI, and financial services.

Design, build, maintain and evolve cloud data platform and ELT pipelines. Collaborate with stakeholders to provision, model and govern data, automate CI/CD, create data quality tests, and recommend new technologies.

Designs, delivers and supports secure, resilient infrastructure across on-prem and cloud. Owns medium-sized technical designs and projects, mentors engineers, troubleshoots incidents, produces documentation, enforces change-control, and ensures security, capacity and operational standards are met.