
Senior Machine Learning Engineer
RELX
full-time
Posted on:
Location Type: Hybrid
Location: 🇳🇱 Netherlands
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSAzureCloudDockerFlaskKubernetesPythonSQL
About the role
- API & platform development — Build and maintain evaluation APIs and backend services to run automated assessments.
- Pipeline orchestration — Develop scalable Python/SQL pipelines, integrate with CI/CD, and implement monitoring/logging for evaluation jobs.
- Infrastructure & reliability — Ensure reproducibility, version control, observability, and error handling across evaluation workflows.
- Collaboration — Work closely with fellow Data Scientists, SMEs, Product, and Engineering teams to operationalize metrics and evaluation processes.
- Automation & tooling — Support auto-assessments as first-pass evaluation and integration with downstream SME-evals.
Requirements
- Education/Experience: Master’s + 3 years, or Bachelor’s + 5 years, in CS, Data Engineering, Software Engineering, or related field; experience building production ML pipelines.
- Technical: Strong Python (FastAPI/Flask), SQL, cloud platforms (AWS /Azure / Databricks); orchestration frameworks (Airflow, Prefect, Dagster); containerization (Docker/K8s); CI/CD pipelines; logging and monitoring.
- Practices: Git, reproducibility, documentation; collaborative coding and design review.
- Communication: Ability to explain technical choices and results to non-technical stakeholders.
- Mindset: Ownership, bias-for-action, curiosity, and collaborative problem-solving.
- Nice to have: Experience with LLM/NLP evaluation pipelines or agentic systems.
- Familiarity with auto-assessment frameworks and multi-product evaluation scaling.
- Exposure to healthcare or regulated content domain.
Benefits
- 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.
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- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLFastAPIFlaskAWSAzureDatabricksAirflowPrefectDocker
Soft skills
collaborationcommunicationownershipcuriosityproblem-solving