Senior Machine Learning Engineer

Dow Jones & Company, Inc.; Bellprat; Híbrido; EUR 55.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive Healthcare Plans for you

Extra paid Time Off (30 days)

Remote work options 3 months/year

Meal benefit

Retirement Plans

Live insurance

Well-being resources

Learning and development

Employee Referral Program

Descripción de la vacante

Dow Jones is seeking a Senior Machine Learning Engineer in Barcelona, Spain, to own the full MLOps lifecycle with a strong LLMOps focus. The role requires hands-on expertise in model development, deployment, monitoring, and collaboration with cross-functional teams to drive innovation across data, engineering, and product disciplines.

You will build and optimize LLM-based systems, improve pipelines, and guide junior engineers while shaping scalable ML infrastructure and architecture in a

Formación

• Minimum 2–4 years of professional ML experience with production models.
• Strong LLMOps experience: fine-tuning, prompts, model lifecycle.
• Experience building agent/multi-agent systems and MLOps automation.

Responsabilidades

• Develop and manage LLM-based solutions, incl. semantic layers and agent systems.
• Own end-to-end ML model development, optimization and deployment.
• Design robust monitoring and retraining strategies for production models.
• Improve inference performance and scalability of ML pipelines.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions.
• Advance experimentation frameworks, versioning, and A/B testing.
• Promote CI/CD best practices for ML and architectural ML infrastructure.
• Mentor junior ML engineers and contribute to architecture decisions.

Conocimientos

LLMOps

Fine-tuning

Model deployment

Python

SQL

TensorFlow

PyTorch

Spark

Dask

MLflow

Airflow

AWS

GCP

Azure

Snowflake

Scikit-learn

Pandas

NumPy

Educación

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Master's degree or Ph.D. (strong plus)

Herramientas

Snowflake

MLflow

Airflow

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Descripción del empleo

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 [e-mail]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

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Business Area: Dow Jones - Technology

Job Category: Software Product Engineering

Union Status:

Non-Union / A clear and likely internal candidate

Base Pay Range: 55,000 € - 70,000 €

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

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.

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest newsgathering operations globally.

It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

Req ID: 54759