Senior MLOps Engineer — Flexible Hours, Scalable AI

Elsevier; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Generous vacation entitlement

Sabbatical leave

Parental leave

Employee Assistance Program (global)

Internal communities and networks

Recruitment introduction reward

Job summary

Elsevier is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning experimental NLP/IR/GenAI models into secure, reliable services. You will work on AI-based features, search and knowledge-graph retrieval within a massive scholarly corpus and contribute to scalable ML platforms.

You will collaborate with data scientists, product managers and responsible AI experts to translate business problems into cutting-edge data science solutions and to deliver end-to-end ML

Qualifications

• Extensive experience shipping ML or search/GenAI systems to production.
• Strong Python, Java, and/or Scala engineering
• Experience with ML/ NLP and data science workflows
• Hands-on with AWS, Azure and/or Google cloud platforms
• Experience with Elasticsearch/OpenSearch/Solr and graph DBs (e.g., Neo4j)
• Experience evaluating LLM models and GenAI systems
• Familiarity with ML frameworks such as PyTorch or TensorFlow
• Knowledge of Spark and large-scale data processing systems

Responsibilities

• Automate and orchestrate ML workflows across major cloud and AI platforms (AWS, Azure, Databricks, OpenAI).
• Maintain and version model registries and artifact stores for reproducibility and governance.
• Develop and manage CI/CD for ML, including data validation and model testing.
• Implement ML Engineering solutions using ML platforms (SageMaker, MLflow, Azure ML).
• Design and implement GAR+RAG systems and prompt libraries with guardrails for LLMs.
• Design ML pipelines using Elasticsearch/OpenSearch, vector DBs, and graph DBs.
• Build evaluation pipelines with IR metrics and LLM quality metrics.
• Optimize infrastructure costs via monitoring and scaling strategies.

Skills

Python

Java

Scala

MLOps

AWS

Azure

Elasticsearch

OpenSearch

Solr

Spark

PyTorch

TensorFlow

Tools

SageMaker

MLflow

Azure ML

Job description

Elsevier is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning experimental NLP/IR/GenAI models into secure, reliable services. You will work on AI-based features, search and knowledge-graph retrieval within a massive scholarly corpus and contribute to scalable ML platforms.

You will collaborate with data scientists, product managers and responsible AI experts to translate business problems into cutting-edge data science solutions and to deliver end-to-end ML