Senior Machine Learning Engineer

Senior Machine Learning Engineer

Dow Jones Barcelona-Spain

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. Collaborating closely with our newsrooms
• and strategic partners, we spearhead the development of groundbreaking products and
• technologies.

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. This position
• demands a strong blend of hands-on technical expertise, strategic thinking, and the
• ability to foster innovation within a dynamic environment.

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.
• Ensure the scalability, efficiency, and reliability of ML pipelines.
• 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.

• Ensure best practices in MLOps, including automation, reproducibility, and CI/CD

for ML.

• Contribute to architectural decisions and improve ML infrastructure.
• Mentor and provide technical guidance to junior ML engineers.

You Have

• A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related

quantitative field; a Master's degree or Ph.D. is a strong plus.

• 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 Benefits

• Comprehensive 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) and one week of remote work per quarter
• Meal 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 %).
• Live insurance
• Well-being Resources (185€ allowance per quarter, Classpass, Spring Health, etc.)
• Family Care Benefits & Caregiving Support
• Hone and Linkedin learning courses for your further development
• Employee Referral Program

Learn more about us and our benefits click here .

Equal Opportunity Employer

All 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 Accommodation

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