Top Tech Jobs & Startup Jobs in London

The Customer Success Manager drives adoption and engagement of Elsevier products, ensuring customer satisfaction and value through strategic guidance and support.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

The VP of Strategy will lead the strategic agenda for Data Services, drive innovation and business growth through market analysis, investment priorities, and effective execution of strategic plans.

The Senior Sales Compensation Manager will design, implement, and manage sales compensation plans, ensuring alignment with business objectives and compliance with policies. This role includes collaborating with stakeholders and analyzing sales performance data.

The Senior Data Analyst will lead analytics for search systems, improve ranking quality, validate data strategies, and publish insights using data visualization tools. They will also mentor team members and collaborate cross-functionally to enhance evaluation frameworks.

The Senior Data Scientist I will lead the development of advanced search and generative AI systems, focusing on retrieval and evaluation, collaborating across teams to deliver impactful solutions.

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

Develop and maintain backend services and APIs for Elsevier's Search Platform. Deliver production-quality Java/Spring services on Kubernetes/AWS, improve code quality and reliability, participate in reviews, and learn search platform fundamentals.

The Scientific Editor evaluates research papers, commissions and edits articles, travels for conferences, and fosters community relationships in physics publishing.

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.