Jobs at Elsevier

As a Senior ML Ops Engineer, you will bridge Data Science and Engineering to automate ML workflows, manage CI/CD for ML systems, and collaborate with various teams to implement solutions for AI features and services.

Owns the digital product data lifecycle for Elsevier’s Enterprise Product Hub, including requirements, prioritization, roadmap development, governance, system onboarding, and publication across business areas. The role makes product and scope decisions under ambiguity, partners with business and engineering stakeholders, supports adoption and documentation, and coaches junior and mid-level analysts while improving data quality and customer buying experiences.

Develop and maintain scalable full-stack applications using ReactJS and Java Spring Boot APIs. Build RESTful backend services, optimize Microsoft SQL Server queries and schemas, and ensure application performance, reliability, and data integrity. Translate business requirements into technical solutions, write maintainable code, and collaborate with product, QA, UX, DevOps, vendors, and engineering teams within an agile software development environment.

Leads the architecture, development, operation, and lifecycle management of cloud-native security platforms and tooling. Owns Terraform and CI/CD standards, integrates security tools, troubleshoots incidents, and improves resilience. Partners with Incident Response, Threat Engineering, and GRC to translate threats and compliance needs into engineering solutions. Provides technical leadership, mentors engineers, conducts design and code reviews, and promotes secure-by-default practices across production environments.

Supports post-sale software implementations for higher education and research customers, managing project plans, timelines, stakeholders, configuration, data migration, troubleshooting, training, documentation, and go-live activities. The role serves as the primary customer contact while coordinating with Product, Engineering, Sales, and Customer Success teams across multiple concurrent projects.

Develop and align global go-to-market strategies across customer personas and enterprise offerings. Translate market and customer insights into priorities, initiatives, metrics, governance, and commercialization plans. Facilitate senior stakeholder alignment in a complex matrixed organization, support product launches and portfolio changes, and monitor performance to improve growth, customer value, and commercial execution across healthcare markets.

Design, develop, and maintain complex cross-system software; translate customer requirements into solutions; mentor junior engineers; perform complex bug fixes; implement best practices, TDD, and optimized data models across multiple storage subsystems.

Design and build backend services, drive features independently, collaborate with teams, and mentor junior engineers while ensuring high-quality software delivery.

Design and deliver production-ready AI, machine learning, NLP, generative AI, and LLM solutions for scientific knowledge discovery and decision support. Build RAG, retrieval, ranking, recommendation, and evaluation systems using large-scale content datasets. Integrate metadata and knowledge assets, write Python code, monitor system quality, and collaborate with engineering teams. Provide technical leadership and mentoring.

Leads AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI. Manages technical teams, develops talent, and oversees AI systems from experimentation through production. Builds LLM, RAG, semantic search, and knowledge-discovery solutions; establishes evaluation frameworks, quality metrics, experimentation practices, and responsible AI standards. Partners with product, technology, and business leaders to shape roadmaps and deliver measurable customer and business outcomes.

Sell Elsevier's ClinicalKey clinical search engine to hospitals, health systems, medical schools, and home health providers. Prospect, build account plans, demo remotely, manage CRM data, forecast pipeline, collaborate with internal teams, and meet/exceed quota with up to 40% travel.

Provides technical leadership and advanced software engineering expertise across complex systems. Responsibilities include writing and reviewing complex code, defining architectural and technical standards, designing data models, managing testing cycles, troubleshooting complex issues, supporting customers, mentoring engineers, coordinating internal and external technology resources, and guiding technology strategy across multifunctional development activities.

Designs, develops, tests, and maintains scalable identity and access management applications using Java and JavaScript. Responsibilities include implementing complex system components, resolving bugs, conducting code reviews, supporting CI/CD, and defining logging, instrumentation, and alerting requirements. The role collaborates with technical stakeholders, translates requirements into software designs, participates in Agile or Waterfall environments, performs pair programming, and mentors junior developers. Experience with identity providers, OIDC, databases, cloud infrastructure, containers, and Kubernetes is valuable.

Drives growth through complex, high-value sales opportunities across data, analytics, AI, and SaaS solutions. Owns the full sales cycle, expands executive stakeholder networks, supports strategic renewals, leads workshops, and communicates measurable customer value. Partners with account managers and cross-functional teams in enterprise, academic, and government environments. Extensive regional travel and engagement with senior stakeholders are required.

Design, build, and maintain cloud security tooling and AWS infrastructure using Terraform and CI/CD practices. Partner with engineering and software development teams to deploy and adopt security solutions. Implement monitoring, logging, alerting, resilience, disaster recovery, and operational runbooks. Troubleshoot security systems, support continuous improvement, and work with tools including SIEM, DLP, EDR, firewalls, IDS/IPS, CloudWatch, and New Relic.

Develop and maintain scalable identity and access management applications using Java and JavaScript. Design moderately complex software components, write quality code, perform unit testing, review specifications, resolve defects, and collaborate in Agile teams. Work with identity providers, authentication flows, OIDC clients, CI/CD pipelines, GitHub workflows, AWS container platforms, and complex data models. Familiarity with AI-assisted development, Terraform, Docker, and Kubernetes is beneficial.

Senior quality engineer responsible for test strategy, manual and automated testing, scalable Playwright and Selenium frameworks, performance testing, CI/CD integration, and production issue analysis. The role requires strong JavaScript and TypeScript programming, cross-browser and API testing, BDD expertise, and continuous improvement of quality practices. The engineer collaborates across development and operations teams, provides technical guidance and mentors less experienced engineers without formal management responsibility.

Manage a regional portfolio of clinical solutions for hospitals and healthcare services, focusing primarily on new sales and revenue growth. Develop account strategies, identify opportunities within existing customers, collaborate with sales and internal teams, maintain client relationships, and report performance to clients and leadership. The role requires consultative selling experience, structured sales methodologies, strong negotiation and communication skills, and the ability to engage C-suite stakeholders.

Evaluate and manage photovoltaic research manuscripts through peer review, make editorial decisions, commission reviews and commentaries, identify emerging energy research trends, and build relationships with global researchers. The editor will help shape Joule’s scientific direction, promote the journal at conferences and institutions, coordinate with Cell Press editorial teams, and contribute to broader strategic projects.

Develop and execute functional, performance, automation, integration, regression, and end-to-end testing for large-scale data platforms and distributed systems. Build and maintain Java-based automated test solutions, define test strategies, investigate root causes, report results, and ensure quality standards. Collaborate with Product, Project Management, Engineering, and Operations teams while driving testing best practices, process improvements, continuous improvement, and quality control.