Overview
As a Senior Machine Learning Engineer at Dow Jones, you own the ML lifecycle with a focus on LLMOps, driving production-ready solutions. You will shape end-to-end ML pipelines and ML infrastructure, collaborating with data scientists, engineers, and product teams. Your work will span semantic layer development, fine-tuning, model evaluation, deployment, and multi-agent systems. You’ll optimize performance, establish robust monitoring and retraining, and mentor junior engineers. This role offers impact across product and UX, in a fast-paced tech-driven newsroom environment.
Compensaciones / Ventajas
Comprehensive healthcare
Extra paid time off (30 days/year)
Partial remote work (3 months/year) and quarterly remote week
Meal benefit with Pluxee
Retirement plans with employer match
Well-being resources and insurance
Responsabilidades
Own end-to-end ML model development, optimization, and deployment
Develop and manage LLM-based solutions including semantic layer, fine-tuning, and evaluation
Design robust model monitoring, retraining, and scalable ML pipelines




Improve inference performance for production environments
Collaborate with data scientists, engineers, and product teams to integrate ML solutions
Enhance experimentation frameworks, versioning, and A/B testing strategies
Uphold MLOps best practices: automation, reproducibility, and CI/CD for ML
Contribute to ML infrastructure architecture and mentor junior ML engineers
Requisitos principales
~ Bachelor in Computer Science
~2-4 years of ML experience with production models
~ Strong experience with LLMOps: fine-tuning, prompt engineering, lifecycle management
~ Experience developing agent and multi-agent systems
~ Advanced hands-on with cloud-based data warehouses; Snowflake preferred
~ Proficiency in Python and SQL; experience with TensorFlow or PyTorch
~ Familiarity with Scikit-learn, Pandas, NumPy
~ Experience building MLOps pipelines with MLflow or Airflow
~ Experience with cloud platforms (AWS, GCP,

📌 Senior Machine Learning Engineering (Barcelona)
🏢 Jobrapido
📍 Barcelona