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Industry: IT-services en consultancy
Company Size: 5.001 - 10.000 medewerkers

Elsevier

Savvy Admin PROD

About the team, this team that powers Elsevier’s Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world’s largest medical and scholarly landscapes.

About the role, as a Senior Machine Learning Engineer you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.

**Key Responsibilities **

ML & LLM Engineering, Search and Recommendation Engines

- Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI).

- Maintain and version model registries and artifact stores to ensure reproducibility and governance.

- Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.

- Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.

- Scale end-end custom Sagemaker pipelines.

- Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted.

- Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs .

- Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing.

- Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization.

- Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems.

**Collaboration **

- Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions

- Collaborate and interface with Operations Engineers who deploy and run production infrastructure.

**Qualifications **

- Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.

- Strong Python, Java, and/or Scala experience will be considered a plus.

- Hands-on‑ experience with major cloud vendor solutions (AWS, Azure and/or Google)

- Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j).

- Experience in evaluating LLM models.

- A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics.

- Background in health technology and/or medical content workflows is preferred.

- Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark.

- Experience with large-scale data processing systems, e.g., Spark.

- Experience with statistical analysis, machine learning theory and natural language processing.

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.

ML OPs Engineer

About the role, Elsevier is expanding its Global InfoSec Security Incident Response team. As a Security Incident Response Engineer, you will play a crucial role in our internal security support team, assisting with incident response investigations.

This team is entrusted with analyzing, triaging, scoping, containing, and providing guidance for remediation, as well as determining the root cause of security incidents. This team also is empowered by collecting and analyzing security incident-related data to identify indicators of attack and compromise.

**Responsibilities: **

- Assisting in scoping security incidents and identifying indicators of attack and compromise.

- Analyzing incident data from threat analytics tools.

- Communicating recommendations and guidance based on security incident analysis.

- Coordinating responses to security incidents with other security and consulting teams.

- Developing, documenting, and implementing runbooks, capabilities, and techniques for Incident Response.

- Performing security triage and analysis on endpoint, server, and network infrastructure.

- Conducting activities necessary for immediate containment and short-term resolution of incidents.

- Maintaining current knowledge of the threat landscape, emerging security threats, and vulnerabilities.

- Investigating the root cause of complex security incidents.

- Maintaining a high level of confidentiality.

**Requirements **

- Possess experience in cybersecurity incident response or related fields.

- Proven ability to analyze, triage, scope, contain, and remediate security incidents.

- Have current and extensive knowledge of security technologies, tools, and processes.

- Experience with major cloud providers, including cloud security, networking, and multi-cloud or hybrid deployments.

- Have current skills in automation using PowerShell, Python, Java, or similar languages.

- Experience in Linux and/or Mac administration. Experience in Network Security Administration or Systems Administration.

- Experience supporting large, complex, and geographically distributed enterprise environments.

Preferred certifications: CISSP, CISM, SANS, GIAC, ethical hacking/penetration tester, or security risk assessment.

Elsevier employs 10,000 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress.

Senior  Incident Response Engineer - Cyber Security

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