Top Tech Jobs & Startup Jobs in London

Lead design and delivery of production-grade AI/ML and agentic solutions for the LLM Suite platform. Own architecture, implementation, and operational stability using public cloud services and agentic frameworks. Build GenAI services, integrate LLMs, ensure secure high-quality code, and improve platform scalability and reliability through collaboration and communities of practice.

Lead reliability, performance, and automation of analytics pipelines and reporting. Define SLIs/SLOs, monitor data quality/lineage, enable self‑service dashboards, enforce data risk/controls, drive FinOps/capacity insights, lead stakeholder reviews, and mentor junior engineers.

Lead AI product strategy and execution for agentic AI pipelines automating bank operations. Define metrics, build demos/prototypes, write PRDs and user stories, and coordinate cross-functional teams to deliver production AI products that meet business goals.

Lead design, develop, and optimize low-latency options algorithmic trading systems. Produce high-quality Java code, implement order management, market data processing, and risk systems. Drive automation, CI/CD, performance tuning, and adoption of enterprise AI-assisted engineering practices. Ensure operational stability, testing, and collaboration with product and trading teams.

Support primary CLO structuring, origination and syndicate activities across deal execution, including portfolio analysis, capital-structure tranching/rating, documentation, negotiation, marketing and investor roadshows. Build and run CLO models for rating agencies and clients, prepare marketing/internal approval materials, monitor P&L and warehouse exposure, and liaise with Legal, Middle Office, Finance, Technology and rating agencies.

Lead Markets Treasury optimization of liquidity, collateral, and capital across trading desks. Develop optimizers, analytics, and AI-enabled tools; review counterparty portfolios; influence methodology changes; partner with trading, technology, vendors, and clearing houses to maximize firm liquidity and capital efficiency while addressing regulatory constraints.

Design, build, test, and maintain scalable ELT data pipelines and architectures using Python and Databricks. Ensure data security, entitlement controls, and SDLC quality (CI/CD, testing). Use SQL/NoSQL, update data models, apply enterprise-authorized AI responsibly, and support controls and auditability across the data lifecycle.

Lead development of front-office equities trading systems: write production-grade Python, collaborate with traders and quants, design scalable architectures, debug and review code, automate remediation, and drive engineering best practices and community adoption.

Lead product strategy and delivery for electronic commodities trading solutions. Partner with trading, sales, quants, and technology to build scalable quote distribution and algorithmic execution tools, drive workflow automation, measure adoption, manage roadmaps and budgets, and deliver cross-functional projects on the trading floor to increase revenue and market share.

Lead development and adoption of information architecture standards, controlled vocabularies, and governed data models. Collaborate with business and technical teams to evaluate technologies, provide technical guidance, influence product design, and standardize operational and analytical data management across the Corporate Investment Bank.