Senior MLOps Engineer

RELX INC; City Of London; On-site; GBP 95,000 - 135,000; Full time

Benefits offered by this job

Generous vacation entitlement

Comprehensive pension plan

Maternity, paternity, adoption and fam

Employee discounts

Recruitment introduction reward

Global benefits access

Job summary

RELX INC is seeking a Senior MLOps Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services on major cloud platforms. You will own end-to-end ML pipelines, model governance, and production reliability, while mentoring junior staff as needed.

You'll work on GAR+RAG systems, semantic search, and knowledge graphs within one of the world’s largest scholarly corpora, delivering robust ML services at scale.

Qualifications

• Extensive experience shipping ML or GenAI systems to production.
• Strong Python, Java, or Scala engineering.
• Experience with cloud vendor solutions (AWS/Azure/Google).
• Familiar with ML frameworks and data processing (PyTorch, TensorFlow, PySpark).

Responsibilities

• Automate and orchestrate ML workflows across major cloud and AI platforms.
• Maintain model registries and artifact stores for governance.
• Develop CI/CD for ML with data validation and deployment.
• Implement ML engineering using SageMaker, MLflow, Azure ML.
• Design GAR+RAG systems components and prompt libraries.
• Build pipelines for search, embeddings, and graph databases.
• Create evaluation pipelines and run A/B tests.
• Optimize infrastructure costs and scale resources.
• Stay updated on GAI, NLP, and RAG research.

Skills

Python

Java/Scala

Cloud platforms

ML engineering

MLOps

NLP/GenAI

Tools

AWS SageMaker

MLflow

Azure ML

Elasticsearch/OpenSearch/Solr

Neo4j

Job description

London Wall

Full time

R118779

Senior MLOps Engineer

Are you passionate about building scalable, reliable machine learning platforms that bring AI models into production?Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale?

About the team:

Join the team that powers Elsevier’s research platforms—Scopus/Scopus AI, ScienceDirect/ScienceDirect AI, and journal submission & peer review workflows.

About the role:

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. As a Senior MLOps Engineer, you should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.

Key Responsibilities:

• 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.

Requirements:

• Extensive experience 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

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organization. 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 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.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Comprehensive Pension Plan

• Generous vacation entitlement and option for sabbatical leave

• Maternity, Paternity, Adoption and Family Care leave

• Internal communities and networks

• Various employee discounts

• Recruitment introduction reward

• Employee Assistance Program (global)

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.

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 (https://www.relx.com/careers/join-us/benefits) 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.

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.

USA Job Seekers:

EEO Know Your Rights.

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.