Top Tech Jobs & Startup Jobs in London

Lead design and delivery of applied AI/ML solutions for data management and governance. Build prototypes, collaborate with business and engineering teams, document models and experiments, present results to stakeholders, and adopt emerging LLM/ML techniques to drive transformation.

Build and maintain Novas core Python frameworks and calculation engine for loan-loss forecasting (CECL, IFRS9, CCAR). Implement high-performance numerical algorithms (NumPy, Pandas, DuckDB), champion TDD, translate stakeholder needs into production-quality designs, perform code reviews, debug model forecasts, and document technical decisions while collaborating with researchers, governance, and business teams.

Lead the design, build, and operation of scalable data platforms and RAG-enabled GenAI pipelines. Implement cloud GenAI services, batch and streaming data workflows, testing strategies, and enterprise security/compliance. Mentor engineers, drive adoption of AI-assisted development practices, and collaborate across data, platform, and product teams to deliver reliable, production-ready data and AI services.

Support delivery of martech initiatives across markets: define feature details, create user stories, manage Agile ceremonies and UAT, monitor KPIs, drive adoption, document releases, and partner with controls, engineering, data, and marketing to ensure regulated-compliant solutions.

Lead and mentor engineering teams to design, build, test, and operate secure, cloud-native applications. Drive technical decisions, produce high-quality Java/React code, advocate SDLC best practices, and ensure operational resiliency and delivery.

Lead design and implementation of control frameworks for the Pensions proposition, perform risk assessments for product development and change, monitor and improve controls, support CORE program, partner with legal/compliance/operations/technology, deliver training, report on operational risk metrics and support remediation and cross-department initiatives.

Build and maintain customer-facing single-page web applications using React. Deliver end-to-end features, fix defects, write tests, participate in code reviews, produce documentation, and collaborate with cross-functional teams while considering accessibility, security, observability, and performance.

Help customers build, deploy, and operate AI/ML models and agent systems; implement ML observability, experimentation, tracing, and monitoring; build large-scale distributed data pipelines (e.g., Ray, Spark); use coding assistants while enforcing code quality and CI/CD; ensure secure deployment and access controls; and produce technical documentation and runbooks.

Build and maintain cloud-native platform services and AI applications focused on backend systems. Implement secure, resilient code, tests, observability, and release processes. Contribute reusable components, embed compliance and security, remediate issues, and lead safe adoption of AI-assisted engineering practices across the team.

Lead deployment and scaling of generative, agentic, and classical ML solutions for cloud migration. Design reusable AI/ML frameworks, multi-agent systems, and enterprise tools for prompt engineering, evaluation, monitoring, and data pipelines. Write production-quality code, ensure operational stability, collaborate with cross-functional teams, and mentor junior engineers.