Senior Machine Learning Engineer

Spain - Barcelona

Full time

Job_Req_54759

Job Description 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 layerdevelopment, fine-tuning, model evaluation, deployment strategies, and thedevelopment 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 tointegrate ML solutions.

Improve experimentation frameworks, model versioning, and A/B testingstrategies.

Ensure best practices in MLOps, including automation, reproducibility, and CI/CDfor 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 relatedquantitative field; a Master's degree or Ph.D. is a strong plus.

2-4 years of professional experience in machine learning with a strong portfolioof models deployed in a production environment.

Strong experience with LLMOps, including fine-tuning frameworks, promptengineering, and managing the lifecycle of large language models, as well asexperience 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 MLframeworks 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, orAirflow.

Experience with cloud platforms (AWS, GCP, or Azure) and large‑scale dataprocessing 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

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 We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inb