Top Tech Jobs & Startup Jobs in London

The Senior Product Manager will oversee the content metadata and vectorization strategy, ensuring effective search and AI-driven experiences while maintaining high-quality clinical content usability.

Seeking a Senior Software Engineer specializing in JavaScript, React, and Node.js to develop modern web applications and utilize AI in development workflows.

Design, build, and maintain scalable data pipelines and services for large-scale search and analytics. Develop batch and ELT/ETL workflows, use Spark, Airflow, Python/Java, and AWS, apply engineering best practices, and collaborate with product and data science teams.

Responsible for managing and evolving core retrieval services for Elsevier's products, collaborating with engineering teams and balancing stakeholder needs.

Lead cross-functional marketing transformation initiatives to drive efficiency and scalability, adopting AI technologies for improved insights and performance monitoring. Support innovation and portfolio growth through strategic initiatives.

Lead strategic technology initiatives by managing complex projects from discovery to delivery, collaborating with cross-functional teams to ensure successful outcomes and improve customer experience.

The Senior Product Manager will lead AI-enhanced learning experience development for ClinicalKey Student, focusing on improving access to medical knowledge for students and faculty, and managing the product lifecycle from concept to launch.

The Strategy Director shapes growth strategy, leads strategic initiatives, and manages competitive intelligence for the Academic and Government segments.

Support delivery of consulting projects for universities and governments developing 4th Generation University strategies. Conduct research and data analysis, prepare presentations and reports, manage project plans and timelines, support workshops, liaise with clients, and contribute to proposals under senior guidance.

The role involves developing MLOps infrastructure, ML pipelines, and CI/CD for search and recommendation systems. It requires ML engineering across cloud platforms, collaboration with teams, and optimization for cost and performance.