
Senior ML Ops Engineer
RELX
full-time
Posted on:
Location Type: Hybrid
Location: Philadelphia • Connecticut • New Jersey • United States
Visit company websiteExplore more
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