Senior ML Ops Engineer

Relx Plc; Philadelphia (Philadelphia County); Hybrid; USD 95,300 - 158,800; Full time

Benefits offered by this job

Annual incentive bonus

Country specific benefits

Job summary

A leading analytics and decision tools provider is seeking a Senior ML Ops Engineer in Philadelphia. The role involves automating machine learning workflows across various cloud platforms and developing CI/CD for ML solutions. Candidates should have strong experience in ML Engineering, familiarity with tools like Elasticsearch, and a solid understanding of the data science life cycle. This position offers competitive pay between $95,300 and $158,800 annually, plus an incentive bonus.

Qualifications

• Current experience in ML Engineering and MLOps platforms.
• Hands-on experience with major cloud vendor solutions.
• Strong understanding of machine learning theory.

Responsibilities

• Automate and orchestrate machine learning workflows across cloud platforms.
• Develop and manage CI/CD for ML.
• Partner with Subject-Matter Experts and Data Scientists.

Skills

Python

Java

ML Engineering

Data Science Life Cycle

Natural Language Processing

Education

Relevant technical degree

Tools

Elasticsearch

TensorFlow

Spark

Job description

.Senior ML Ops Engineer page is loaded## Senior ML Ops Engineerlocations: Philadelphia, PA: Home based-Connecticut: Home based-Georgia: Home based-New Jersey: Home based-Virginiatime type: Full timeposted on: Posted 2 Days Agojob requisition id: R106560About 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.U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $107,646 - $171,954.This job is eligible for an annual incentive bonus.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **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 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** **.**Please read our .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:***.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.