Top Tech Jobs & Startup Jobs in London

Design, build, test, and maintain scalable full-stack web applications and integrations using Java, Python, and React. Implement AI-enabled features, event-driven data pipelines, and marketing integrations (CDP/CRM/CMS). Improve code quality via AI-assisted tools, CI/CD, observability, and security/compliance best practices while collaborating with product, marketing, and partners.

Lead design, development, and delivery of risk, pricing, trade capture, and commodities operations software. Collaborate with trading, quant, sales, and middle office to produce secure, high-quality production code, provide technical guidance, and drive product and architecture decisions. Promote cross-team collaboration, firmwide engineering practices, and mentor engineers to deliver scalable solutions.

Build and maintain DevSecOps tooling for AWS cloud environments, including threat modeling, security guardrails, policy-as-code, vulnerability analysis, compliance reporting, and runtime security visibility. Develop automation for security findings and software supply chain controls, support audits and incident response, and provide remediation guidance to engineering teams. Collaborate with platform engineers, product squads, risk, and governance teams while using authorized AI-assisted development tools securely and validating generated outputs.

Develop and enhance high-performance portfolio construction and quantitative research technology. The role involves full software development lifecycle ownership, designing scalable systems, applying Python or Java expertise, collaborating with technologists and stakeholders, communicating development progress, and contributing to innovation and continuous improvement within a large financial-services engineering team.

Develop and deploy statistical, machine learning, mathematical, and optimization models for Prime Finance. Responsibilities include forecasting borrow rates and demand, optimizing pricing and inventory allocation, researching alpha signals and hedging strategies, building analytics infrastructure, managing model risk, and communicating results to trading, technology, risk, and senior stakeholders. The role also mentors junior researchers and documents methodologies.

Leads technology teams delivering application and infrastructure support for global banking operations. Oversees monitoring, maintenance, incident, problem, and change management; troubleshoots production issues; ensures service stability and availability; coordinates escalated support; communicates technical issues to business stakeholders; reviews technology roadmaps; and drives regional service improvement initiatives.

Supports the firmwide privacy program by advising on privacy requirements, conducting risk and maturity assessments, developing controls, managing governance documentation, and supporting training and complex cross-functional initiatives. The role requires knowledge of global privacy laws, including GDPR and CCPA, experience with data protection impact assessments, and the ability to work independently with stakeholders across functions.

Leads EMEA cyber threat intelligence by identifying and assessing global threats, analyzing intelligence, supporting incident response, and advancing threat detection and response strategies. Develops policies, frameworks, and operational plans; prioritizes intelligence streams; allocates resources; supports brand protection, fraud prevention, and malware analysis; and communicates findings to technical and senior business stakeholders. Uses AI and LLM tools to improve team efficiency.

Lead the design and development of production-grade agentic AI applications for Markets Operations. Build reusable AI architecture patterns, orchestration frameworks, context management, evaluation pipelines, guardrails, APIs, infrastructure, and monitoring. Partner with researchers, engineers, data scientists, and operations stakeholders to deliver secure, reliable, compliant AI solutions. Drive continuous improvement, document technical decisions, influence architecture, and mentor engineers.

Lead SRE responsible for driving reliability practices, designing resilient systems, conducting resiliency reviews, leading incident response, mentoring engineers, improving observability and CI/CD, and adopting validated AI-assisted reliability workflows across the SDLC.