RELX

Senior ML Ops Engineer

RELX

full-time

Posted on:

Location Type: Hybrid

Location: PhiladelphiaConnecticutNew JerseyUnited States

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Salary

💰 $95,300 - $158,800 per year

Job Level

About the role

  • 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 ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs.
  • 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.

Requirements

  • 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.
Benefits
  • U.S. National Base Pay Range: $95,300 - $158,800
  • Geographic differentials may apply in some locations to better reflect local market rates.
  • This job is eligible for an annual incentive bonus.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningMLOpsPythonJavaScalaElasticsearchOpenSearchSolrPyTorchTensorFlow