Top Tech Jobs & Startup Jobs

Lead analytic projects and teams, review and approve models, define frameworks, methodologies and governance, design LLM/RAG/agentic AI systems with knowledge-graph and embedding integration, ensure evaluation, cost-performance optimization, AI observability, and compliance-aware production deployment while mentoring staff and communicating with senior stakeholders.

Lead process improvement and automation workstreams across the business, mature process documentation and mapping, run workshops, partner with leaders to prioritize improvements, and embed repeatable continuous‑improvement disciplines to realize productivity, margin, and AI/automation benefits within a 12‑month fixed term.

Manage a portfolio of academic accounts to sell AI‑powered research intelligence, data licensing, and analytics. Build strategic relationships with libraries and research leaders, develop account strategies, forecast in CRM tools, gather market insights, and represent Elsevier at academic events to drive revenue growth and long‑term partnerships.

Build responsive, accessible React frontends and Node.js backend services; use AI-assisted development tools responsibly to accelerate implementation, testing, and refactoring; follow TDD, CI/CD, and automated testing; collaborate with UX, product, and QA; contribute to hiring and knowledge sharing for the London engineering team.

Lead complex, customer-facing projects from initiation through delivery. Manage schedules, risks, dependencies, governance, stakeholder communications, scope/change control, compliance, and executive reporting. Drive cross-functional alignment, issue resolution, and PMO best practices while operating in fast-paced, regulated environments.

Manage and coordinate a portfolio of legal publications (French and English), liaise with and recruit authors, oversee manuscript delivery and publication schedules, contribute to translations, and support internal teams while using AI tools to develop and refine content.

Lead functional, automated, and performance testing for a large-scale data platform. Develop test strategies, automation, and performance solutions; validate data quality and formats; test microservices, event-driven systems, and distributed processing; collaborate across Product, Engineering, and Ops to ensure reliability and continuous improvement.

Designs, deploys, and maintains production-grade ML/AI systems and MLOps workflows. Converts prototypes into scalable services, implements LLM/agent-based and RAG solutions, integrates models with APIs and microservices, monitors model performance, and collaborates across teams to ship features and resolve complex production issues.

Lead AI and data science strategy across ML, NLP, search, recommendation, and generative AI. Manage and develop teams to deliver production-ready systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI practices, and align roadmaps with product and business outcomes while influencing senior stakeholders.

Own end-to-end product capabilities for AI-powered legal drafting and analytics. Drive customer discovery, prioritize requirements, define hypotheses and A/B tests, build business cases, coordinate launches, and deliver training and go-to-market activities to expand Protege product features.