Senior MLOps

Elsevier; Amsterdam; Remote; EUR 54,000 - 90,000; Full time

Benefits offered by this job

Wellbeing programs

Shared parental leave

Job summary

Elsevier is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services. You will work on AI-based features across research platforms, collaborating with data scientists and product teams to deliver reliable, production-ready pipelines.

You will design and maintain end-to-end MLOps workflows, implement guardian and retrieval systems, and optimize cost, while staying current with the latest AI research.

Qualifications

• 3–5+ years in ML Engineering or MLOps
• Strong Python/Java/Scala skills
• Experience with cloud providers (AWS/Azure/Google)
• Familiarity with NLP, ML, and GenAI
• Knowledge of vector/search/graph technologies
• Experience evaluating LLMs
• Background in scholarly publishing workflows
• Spark/large-scale data processing experience

Responsibilities

• Automate ML workflows across major cloud platforms.
• Maintain model registries and artifact stores for reproducibility and governance.
• Develop CI/CD for ML, including data validation and deployment.
• Implement ML engineering solutions using SageMaker, MLflow, Azure ML.
• End-to-end SageMaker pipelines for recommendation systems.
• Design GAR+RAG components, prompts, and guardrails.
• Build pipelines using Elasticsearch/OpenSearch/Solr, vector/graph DBs.
• Create evaluation pipelines and A/B testing for ML systems.
• Optimize infrastructure costs and resource utilization.
• Stay current with NLP, GenAI and RAG research and apply in experiments.
• Collaborate with SMEs, PMs, Data Scientists and Operations Engineers.

Skills

Python

Java/Scala

NLP

ML Engineering

Cloud Platforms

Elasticsearch

Solr

PyTorch

TensorFlow

Spark

Education

MS/PhD in CS/ML

Tools

MLflow

SageMaker

Azure ML

Git

Job description

## Senior MLOpsApply: Amsterdam: London Wall: Full time: Posted Today: R120372Are you passionate about building scalable AI and machine learning systems that power world-leading research and healthcare platforms? Do you enjoy turning cutting-edge NLP, search, recommendation, and Generative AI innovations into reliable, secure, and production-ready solutions that create real-world impact? **About our Team** Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. **About the Role** Join the team that powers Elsevier’s research platforms—Scopus/Scopus AI, ScienceDirect/ScienceDirect AI, and journal submission & peer review 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 scholarly corpora, so 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.* End-to-end custom SageMaker pipelines for recommendation systems.* 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 (e.g., NDCG, MAP, MRR), LLM quality metrics (e.g., 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. **Required Qualifications** * 3–5+ years in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.* Strong Python, Java, and/or Scala engineering* Experience with statistical analysis, machine learning theory and natural language processing* Hands-on‐ experience with major cloud vendor solutions (AWS, Azure and/or Google)* Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr/ Neo4j).* Experience in evaluating LLM models* Background with scholarly publishing workflows, bibliometrics, or citation graphs* A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics* Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark* Experience with large scale data processing systems, e.g., Spark **Work in a Way That Works for You** We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. **Working Pattern** Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. **About the Business** A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €53,800 - €89,900. This role is covered by the Collective Labor Agreement Publishing Industry.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **here****.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.