Top Tech Jobs & Startup Jobs in London

Lead design and deployment of Generative AI/LLM solutions: prompt engineering, fine-tuning, embeddings, RAG pipelines, vector DBs, and end-to-end APIs. Collaborate with engineering and product teams, evaluate model performance, mitigate bias, and optimize production workloads.

Designs and maintains scalable data pipelines and platforms using Palantir Foundry, cloud services, Python, PySpark, and TypeScript. Builds Foundry datasets, applications, integrations, and AI-enabled workflows; develops user-facing solutions with Workshop and Slate. Partners with stakeholders to deliver enterprise data products, while implementing data quality, governance, security, performance optimization, CI/CD, DevOps, and cloud-native deployment practices for insurance-sector initiatives.

Leads development, enhancement, governance, calibration, and validation of UK mortgage IRB credit risk models covering PD, LGD, and EAD. The role manages model lifecycle activities, back-testing, performance analysis, deficiency remediation, documentation, stakeholder engagement, and compliance with UK PRA Basel 3.1 requirements. It requires collaboration across credit, risk, business, and support functions, plus strong quantitative, regulatory, coding, communication, and project leadership skills.

Lead financial and regulatory reporting engagements for insurance clients, reviewing statutory statements, management reporting, regulatory submissions, investment accounting, and reporting controls. Manage audit relationships, close processes, remediation, governance improvements, and reporting transformation initiatives. Advise senior finance stakeholders, lead workshops, present recommendations, and coordinate delivery teams across onshore and offshore locations while driving automation, standardization, and technology enablement.

Lead insurance-focused AI and digital transformation consulting across the UK and EMEA. Develop go-to-market strategy, originate and close complex opportunities, manage client relationships, shape data and AI solutions, and lead maturity assessments, target-state blueprints, roadmaps, and implementation prioritization. Own engagement P&L, pricing, budgets, revenue projections, pipeline, margins, and account expansion while advising senior insurance executives and coordinating multidisciplinary consulting, architecture, engineering, data, AI, and delivery teams.

Design, build, deploy, and optimize scalable data pipelines and ETL/ELT processes using Azure Databricks and related Azure services. Develop data models, data quality frameworks, integration solutions, and technical documentation for insurance data transformation programs. Collaborate with stakeholders, lead technical delivery, and apply data governance, warehousing, distributed computing, Agile, and DevOps practices.

Support end-to-end recruitment for Technology, Data and AI roles: sourcing via LinkedIn Recruiter, screening CVs, scheduling interviews, assisting offers and onboarding, maintaining ATS and Excel trackers, and using AI tools to improve sourcing and administration.

Own the UK marketing strategy for Insurance and Banking, driving brand recognition, demand generation, qualified leads, pipeline growth, and priority account nurturing. Develop industry marketing programs, coordinate globally distributed specialists, partner with executives and sales teams, measure performance and ROI, and optimize campaigns. The role requires strategic planning, hands-on execution, stakeholder influence, data-driven decision-making, and integrating AI into marketing workflows.

Lead development of advanced analytics and machine learning models, create algorithms from scratch, analyze large datasets and relational databases, interpret results and recommend solutions, act as domain expert, perform manual claim selection and audit review, and generate new selection concepts/queries. May lead and manage a team.

Lead qualitative and quantitative research to inform strategic decisions. Perform market sizing, landscaping, pricing and workflow analysis, build reports and dashboards, prepare and validate data, liaise with senior stakeholders and vendors, and support marketing and commercial strategy and governance initiatives.