Top AI Jobs in London

Senior front-end engineer on an agile Equities Sales & Trading team delivering secure, scalable cloud-native applications. Provides technical leadership, writes and reviews production code, drives design decisions, optimizes UI performance for high-frequency data, and advocates firmwide engineering practices and tools.

Lead development of cloud-native Python applications for global commodities trading desks. Design, build, test, and operate resilient, secure production systems; drive automation and CI/CD; evaluate vendor solutions; and mentor engineering communities of practice.

Lead product design for enterprise banking products: partner with product, engineering, and data teams to research, prototype, and deliver data-rich workflows and visualizations, evolve design systems, and provide design leadership across global teams to create usable, accessible digital experiences.

Lead design, implementation, and analytics for FRTB and related market-risk capital requirements (IMA and SA). Own roadmap, capital estimation modules, controls, governance, regulatory submissions, and stakeholder engagement. Drive cross-functional delivery, scenario analyses across desks and products, and advance AI/LLM and data-driven automation in market risk analytics.

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.

Own financial control and reporting for EMEA treasury hedging across rates, FX, and fixed income. Prepare close deliverables, apply derivative and hedge accounting, analyze FX exposures, produce management-ready commentary, improve controls and automation, partner with Technology and stakeholders to enhance reporting and governance.

Design, develop, and maintain secure, scalable software solutions as a seasoned agile team member. Produce high-quality production code, architecture/design artifacts, data visualizations, and troubleshooting. Use CI/CD, resilient application patterns, enterprise AI-assisted development tools, and validate AI outputs. Contribute to engineering communities and improve code hygiene and system architecture.

Design, develop, and maintain secure, high-quality production code and system architectures. Troubleshoot complex issues, analyze large datasets for improvements, ensure application resiliency and CI/CD practices, and contribute to engineering communities and inclusive team culture.

Conduct empirical research to discover and validate novel alpha sources using ML, AI, econometrics and large datasets. Build scalable research pipelines, backtest strategies, and partner with PMs and engineers to deploy live systematic equity strategies.

As an Enterprise Architect, you will lead tech advisory growth, collaborate on solutions, manage client relationships, and mentor junior consultants within the organization, driving technology transformation for clients.

Lead an agile engineering team to design, develop, review, and maintain secure, high-quality production code. Provide technical guidance, drive product and architecture decisions, champion AI-assisted development practices, ensure SDLC automation and validation, and promote reuse and operational stability across engineering teams.

Lead an agile engineering team to design, build, review, and maintain secure, high-quality production software. Provide technical direction, drive product and architecture decisions, champion firmwide SDLC practices and AI-assisted engineering, and ensure operational stability and reusable automation across cloud-native applications.

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

The role involves leading new product development, identifying market opportunities, and driving commercial strategies and partnerships to launch products in the payments sector.

Support data and customer-success functions by entering, cleaning, and analyzing data; maintain databases; assist clients with LevPro configuration, demos, onboarding, and implementation; identify process improvements and help build client relationships.

Lead and mentor an Applied AI team to design, train, evaluate, and deploy large-scale NLP/LLM, graph, and agentic ML solutions; collaborate with business, tech, and control partners; develop firm-wide ML frameworks; research and prototype advanced methods.

Design, build, and deploy scalable ML services combining NLP, CV, and statistical methods. Collaborate with engineers, cloud and SRE teams to productionize models, ensure observability and compliance, and maintain models over time. Communicate results to stakeholders and document processes for regulatory needs.

Lead design and delivery of production-grade LLM and multimodal AI systems. Architect scalable APIs, agentic workflows, and high-throughput microservices. Own end-to-end reliability, performance, and continuous improvement while partnering with ML engineering, product, and cloud teams to deploy secure, enterprise-grade AI at scale.

Design, build, and productionize autonomous and assistive multi-agent AI systems. Implement RAG and semantic search with vector databases, integrate tools/APIs, apply prompt engineering and guardrails, orchestrate microservices workflows, instrument agents for metrics, run evaluations/A-B tests, and mentor teammates.

Lead development and management of agentic AI workbench and control environment, drive integration, deployment, and optimization of agent-led workflows, partner with architecture and engineering, manage risk and KPIs, support stakeholder adoption, and mentor team members to deliver measurable business value across Client360.

Lead technical design and development of AI-native systems for credit pre-trade markets. Build scalable AI platforms, modernize legacy systems, deliver secure production code, partner with trading and product teams, support production operations, evaluate vendors, and drive engineering best practices and communities of practice.

Drive rollout and adoption of AI tools across the Commercial & Investment Bank by persona. Influence product roadmaps, define and report success metrics, enable client-facing teams with training and messaging, track adoption and feedback, and synthesize insights and risks for senior leadership to inform AI product decisions.

Lead design and delivery of enterprise-grade ML systems and production architectures. Build scalable, distributed, data-intensive applications using MLOps and cloud infrastructure (AWS, Kubernetes). Translate research into deployable ML solutions, implement automated pipelines, leverage PyTorch/NumPy and higher-level interfaces, collaborate with SRE/cloud teams, and mentor or optionally manage team members.

Lead development and enhancement of equity derivatives trading and analytics applications, drive automation and AI-assisted engineering practices, collaborate with trading and quant teams, maintain global platform stability, and lead the Systematic Quoting Platform workstream for EMEA.

Lead strategy and delivery of agentic AI across the Commercial & Investment Bank: design, build, and productionize multi-agent systems and RAG pipelines; integrate tools and cloud deployments; implement evaluation, safety, and observability; partner with stakeholders to deliver business impact; and mentor teams on LLMs, agent frameworks, and best practices.