20 publicaciones de empleo destacadas de ai platform engineer en barcelona, ct (¡Están contratando!)

Machine Learning Engineer, Personalization
News Corp —Barcelona, Barcelona provincia
- De 55.000 € a 70.000 € al año
- Azure
- Informática
- SQL
- Vacaciones pagadas
- Programa de recomendación
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Machine Learning Engineer, Personalization
Dow Jones —Barcelona, Barcelona provincia
- De 55.000 € a 70.000 € al año
- Azure
- Informática
- SQL
- Vacaciones pagadas
- Programa de recomendación
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Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
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M47 —Barcelona, Barcelona provincia
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Workato —Barcelona, Barcelona provincia
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Senior AI Engineer - LLM - Pharma Industry
ERNI —Barcelona, Barcelona provincia
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- Español
- Azure
- Inglés
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ValeriaHR —Barcelona, Barcelona provincia
- De 40.000 € a 45.000 € al año
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Merlin Digital Partner —Barcelona, Barcelona provincia
- De 50.000 € a 70.000 € al año
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AI Engineer – AI Data Platforms (RE3)
Barcelona Supercomputing Center (BSC) —Barcelona, Barcelona provincia
- Disponibilidad fin de semana
- Español
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ailylabs —Barcelona, Barcelona provincia
- Jornada completa
- Azure
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- SQL
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plaça d'AI Engineer - AI Data Platforms (RE3) CIDO
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- Máster
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Graduate Mechanical Engineer - 3D Printing Hardware
HP —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Sin necesidad de experiencia
- Inglés
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AI engineer
Lucis —Barcelona, Barcelona provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
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C++ Software Engineer - Asphalt Legends
Gameloft Barcelona —Barcelona, Barcelona provincia
- Jornada completa
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Agentic AI Engineer Intern
Mango —Palau-solità i Plegamans, Barcelona provincia
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Principal AI Engineer — AI Solutions (Enabling Functions)
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
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Data Engineer - Platform Engineering
Gartner —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- Oficina
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Machine Learning Engineer, Personalization

News Corp -
Barcelona, Barcelona provincia

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Detalles del empleo

De 55.000 € a 70.000 € al año

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

CI/CD
Azure
Informática
NoSQL
SQL
AWS
Machine learning
Escalabilidad
Cloud
Python

Descripción completa del empleo

Job Description:

Machine Learning Engineer, Personalization

Dow Jones Job Location: Barcelona

About the Team:

Our Technology team drives the evolution of our 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 looking for a Senior Machine Learning Engineer to join our Personalization team in Barcelona. You will design and build systems that deliver highly relevant, personalized experiences across our digital products. This role sits at the intersection of backend engineering, data, and applied AI—leveraging modern architectures and machine learning techniques to connect users with the most relevant content.

You will play a key role in building scalable indexing, retrieval and ranking systems that serve personalized content to millions of readers in real time. You will partner closely with product, data science, and engineering teams, bringing technical depth and sound judgment to architectural decisions, model design, and evaluation methodology.

You Will:

Design, build, and operate personalization systems and services powering content discovery and user engagement.
Develop and improve ML models across the whole personalization stack, from candidate generation to final ranking.
Use data-driven methods to improve candidate retrieval, leveraging embeddings, two-tower architectures, and user/content signals.
Drive experimentation and A/B testing to measure impact and iterate on models and features.
Leverage LLMs to enhance content understanding and feature extraction.
Optimize systems for performance, latency, and scalability across high-traffic environments.
Contribute to engineering best practices, including testing, observability, and CI/CD.
Collaborate with product managers, data scientists, and analysts to translate business needs into scalable technical solutions.

You Have:

3+ years of industry experience applying machine learning methods, with a strong focus on recommender systems, search, ranking, or personalization.
Strong proficiency in Python for production ML systems.
Experience with A/B testing and experimentation frameworks to measure model impact.
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized environments.
Familiarity with SQL and NoSQL databases.
Degree in computer science, machine learning, statistics, or equivalent work experience.

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) or 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 %).
Comprehensive Insurance Plans
Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
Family Care Benefits & Caregiving Support
Subscription Discounts
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 [email protected]. 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.

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.

Business Area: Dow Jones - Technology

Job Category: Software Product Engineering

Union Status:

Non-Union role

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: 52840

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