About the Team:Our Technology team drives the evolution of our Technology, Engineering, Data,Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints.

About the Role:We are seeking a highly experienced and technically adept Senior Machine Learning Engineer to join our team. In this pivotal role, you will own the entire lifecycle of MLOps from optimization to deployment, with a strong focus on LLMOps. You Will:Develop and manage LLM-based solutions, including semantic layer development, fine-tuning, model evaluation, deployment strategies, and the development of agent and multi-agent systems.Own end-to-end ML model development, optimization, and deployment.Design and implement robust model monitoring and retraining strategies.Optimize model inference and performance for production environments.Collaborate closely with data scientists, engineers, and product teams to integrate ML solutions.Improve experimentation frameworks, model versioning, and A/B testing strategies.You Have:A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience; a Master's degree or Ph.2-4 years of professional experience in machine learning with a strong portfolio of models deployed in a production environment.Strong experience with LLMOps, including fine-tuning frameworks, prompt engineering, and managing the lifecycle of large language models, as well as experience in the development of agent and multi-agent systems.Advanced hands-on experience with cloud-based data warehouse solutions; Snowflake experience strongly preferred.Proficiency in Python and SQL and deep,



hands-on experience with ML frameworks like TensorFlow, PyTorch.A grasp of the broader data science toolkit, including libraries like Scikit-learn, Pandas, and NumPy.Experience building and maintaining MLOps pipelines using tools like MLflow, or Airflow.Experience with cloud platforms (AWS, GCP, or Azure) and large-scale data processing frameworks like Spark or Dask is preferred.Our BenefitsComprehensive Healthcare Plans for you and your family (paid by Dow Jones)Extra paid Time Off (30 days of holidays/year)Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarterMeal benefit with Pluxee (171/month on top of your salary)Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).Equal Opportunity EmployerAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.

We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.Reasonable AccommodationWe are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.Software Product EngineeringUnion Status:Non-Union / A clear and likely internal candidateBase Pay Range: 55,000 - 70,000 We’re committed to offering competitive and versátil compensation to attract top talent. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.SummaryLocation: Spain - BarcelonaType: Full time

📌 Senior Machine Learning Engineer (Remote) (Barcelona)
🏢 Dow Jones u0026
📍 Barcelona