Top Tech Jobs & Startup Jobs in London

Analyzes current and future business processes, gathers and documents requirements, coordinates stakeholders, supports solution design, develops and reviews test cases, and facilitates user acceptance testing. The role also evaluates AI model accuracy and performance, contributes to business transformation initiatives, and supports ongoing solution implementation and user needs across multiple projects.

Lead deployment of analytics and AI into production within insurance: embed with underwriters and pricing teams, define deployment specs, ensure adoption, measure commercial impact, design monitoring and governance, and enable business users.

Supports risk-based internal audits, advisory projects, regulatory reviews, and investigations across insurance, underwriting, claims, operations, and finance. Leads audit planning, walkthroughs, testing, risk assessments, reporting, and remediation recommendations. Builds relationships with management, analyzes complex information, uses data analytics tools, and contributes to audit process improvements and AI adoption. Requires at least three years of audit experience, insurance knowledge, strong communication, analytical, and project management skills, with travel up to 10%.

Leads actuarial insights, reporting, pricing initiatives, and modernization projects within a property and casualty insurance pricing team. Responsibilities include translating complex data into business recommendations, improving reporting controls and data quality, adopting new data technologies, partnering with analytics and underwriting teams, and managing an MI Manager and Actuarial Analyst. The role also supports junior actuary development and requires strong actuarial, pricing, leadership, analytical, and project delivery expertise.

A one-week career insight program introducing participants to insurance through professional shadowing across operations, underwriting, and claims. Participants attend workshops and panels, learn about risk analysis, negotiation, client management, technology, and sustainability, and receive career coaching on CVs, interviews, and planning. The program is open to students, recent graduates, career changers, and applicants from all academic backgrounds, with no prior experience required.

Design, train, fine-tune, and deploy production-grade LLMs and AI pipelines. Optimize inference for low-latency and high-throughput, implement quantization/caching/batching, build real-time pipelines (WebSockets/SSE), manage containerized deployments (Docker/Kubernetes), and collaborate with stakeholders to deliver scalable RAG, voice, and document-intelligence solutions.

Support the AI Business Solutions group in transforming global insurance operations. Manage cross-functional transformation projects, develop digital solution concepts, product roadmaps, business cases, and proposals, and collaborate with global and local stakeholders. Apply insurance domain knowledge across claims, distribution, marketing, legal, operations, and consumer sales. Analyze KPIs and reported information, prioritize work within time and budget constraints, and deliver creative solutions in a fast-paced environment. Fluency in Mandarin and English is required.

Lead portfolio analytics for Commercial Insurance by delivering recurring reports, automated monitoring, deep-dive and market analyses, scenario modelling, and impact assessments. Partner with Pricing, Underwriting, Actuarial, Finance, and Data Engineering to translate insights into portfolio strategy, tooling enhancements, and stakeholder recommendations to drive evidence-based decisions and improve visibility into market and portfolio dynamics.

Support Consumer UK growth through analytics, market insight, value proposition development, new deal implementation, partner and broker relationship management, and cross-functional coordination to deliver strategic initiatives.

The AI Engineer will focus on the lifecycle of production-grade AI, managing model training, fine-tuning, inference optimization, and production engineering, while collaborating with stakeholders to implement business requirements.