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3197

puestos de Fisica en España

ML Engineer

eDreams ODIGEO

Barcelona
Híbrido
EUR 50.000 - 70.000
Hace 30+ días
Quiero recibir las últimas vacantes disponibles de puestos de “Fisica”

Entrenador personal en Jaén

Duduo

Jaén
Híbrido
EUR 10.000 - 30.000
Hace 30+ días

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Jaén
Híbrido
EUR 10.000 - 30.000
Hace 30+ días

Visual Merchandiser

Sports Emotion

Leganés
Presencial
EUR 19.000 - 21.000
Hace 30+ días

Consumer Engagement Coordinator

ING Group

Madrid
Híbrido
EUR 60.000 - 80.000
Hace 30+ días
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Data Scientist -Search

Wallapop

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EUR 40.000 - 70.000
Hace 30+ días

Supervisor de Montaje Mecánico - Central Hidroeléctrica

Iplan Gestión Integral

Tarragona
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EUR 50.000 - 70.000
Hace 30+ días

Sales Assistant Sprinter Figueres

Sprinter

Figueres
Presencial
EUR 12.000 - 16.000
Hace 30+ días
HeadhuntersEntra en contacto con cazatalentos para acceder a vacantes similares

Aircraft Performance Engineer (d/f/m)

Airbus

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EUR 70.000 - 90.000
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Auxiliar Administrativo Riesgos

AA Hotels & resorts Egypt

Islas Baleares
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EUR 20.000 - 25.000
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Analista de Laboratorio Control Calidad

Iman Temporing

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< EUR 29.000
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Full-stack developer (PHP + TS)

Planner5D

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EUR 50.000 - 70.000
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EUR 10.000 - 30.000
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Entrenador personal en La Línea de la Concepción

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BECARIO/ PRÁCTICAS ADMINISTRATIVO - OFFICE MANAGER

Ondara

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Madrid
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Limpieza y Cuidado a Domicilio — Impacto Real

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< EUR 10.000
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Entrenador personal para sesiones individuales en Bilbao

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PhD Position – AI-Driven Modelling for Complex Fluid Dynamics in Aerospace Applications (FairCF[...]

Universidad Politécnica de Madrid, ETSIAE

España
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EUR 25.000 - 30.000
Hace 30+ días

MOZO / A DE CARGA Y DESCARGA

RAS Interim

Barcelona
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EUR 50.000 - 70.000
Hace 30+ días

HEALTH & SAFETY MANAGER

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EUR 50.000 - 70.000
Hace 30+ días

Puestos destacados:

Puestos: SocialesPuestos: InformaticoPuestos: RestaurantePuestos: TiendasPuestos: SeoPuestos: Produccion AudiovisualPuestos: ArchivoPuestos: ArtePuestos: PuertoPuestos: Visual Merchandising

Empresas destacadas:

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Ciudades destacadas:

Trabajos en MadridTrabajos en SevillaTrabajos en MalagaTrabajos en ZaragozaTrabajos en BilbaoTrabajos en A CorunaTrabajos en CordobaTrabajos en ValladolidTrabajos en SalamancaTrabajos en Cadiz

Vacantes parecidas:

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ML Engineer
eDreams ODIGEO
Barcelona
Híbrido
EUR 50.000 - 70.000
Jornada completa
Hace 30+ días

Descripción de la vacante

A leading travel subscription platform in Barcelona is searching for a Machine Learning Engineer to design and develop innovative ML solutions. The successful candidate will collaborate with the Data Science team, stay updated with the latest ML developments, and provide guidance on best practices. Candidates should have a degree in a quantitative field and experience with Python, CI-CD, and cloud platforms. This role offers a competitive compensation package and great benefits.

Servicios

Competitive salary and benefits package
Continuous learning opportunities
Flexible home-office model
Work-life balance emphasis
Dynamic and healthy work environment

Formación

  • 2+ years of related experience as a Machine Learning or Software engineer.
  • Experience developing REST APIs and scalable systems.
  • Written and oral communication skills in English.

Responsabilidades

  • Design and develop Machine Learning solutions.
  • Participate in the design and implementation of our machine learning platform.
  • Stay updated on Machine Learning and MLOps.

Conocimientos

Machine Learning
Python
Object-oriented programming
Cloud platforms
SQL databases

Educación

Degree in a quantitative field

Herramientas

Docker
CI-CD
Jenkins
Descripción del empleo

As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us! As part of the team, you will design and develop solutions for training and serving ML models. Become a part of our team and help us build the best ML platform possible. As part of your role, you will also be responsible for spreading knowledge within the Data Science Organization and ensuring best practices.

Why eDreams ODIGEO

Join the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe. Millions of customers every year across 44 markets – 5 brands – 7M members in Prime. More than 100 million searches per day – Up to 6 billion daily AI predictions. Over 1,600 employees – More than 60 different nationalities from all continents – 99% permanent contracts – 36 average age

We’re the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe. We are a tech company revolutionising the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world’s first travel subscription program.

What you will do:

The Role’s Key Responsibilities and Tasks. As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a ML Engineer in the Data Science team you will be in charge of:

  • Work with the Data Science team to design and develop Machine Learning solutions;
  • Participate in the design and implementation of our internal machine learning platform;
  • Stay up to date with the latest developments in Machine Learning and MLOps;
  • Provide internal users with training materials and communicate new developments;
  • Providing guidance and advice, ensure best practices are followed across the data science organization.
What you need to succeed:

Job Requirements.

Bring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed:

  • Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Physics, or other quantitative areas);
  • 2+ years of related experience as a Machine Learning or Software engineer;
  • Experience with Python, Java, C++ or any other object-oriented programming language. Javascript and / or frontend experience is a plus;
  • Overall understanding of the process of creating machine learning model and their life cycle;
  • Knowledge of best practices to automate software development and ML operations; CI-CD, testing, and monitoring. Experience with Jenkins desirable;
  • Experience developing REST APIs and scalable systems.
  • Experience working in cloud platforms, distributed systems and Docker.
  • Familiarity with SQL databases;
  • Written and oral communication skills in English.
Preferred Qualifications
  • Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants.
  • Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows.
  • AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity.
  • Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.
  • Collaboration with AI: Experience or interest in collaborating closely with AI tools as “pair programmers” to complement traditional software development practices.
What’s in it for you?

The best talent deserves the best benefits

At eDO, we want you to be a part of our success story and great culture. Here’s what we offer:

  • A rewarding Compensation package! 💥 Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and the possibility of choosing your equipment.
  • Continuous learning to fuel your growth and explore new horizons! 📚 Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.
  • Grow opportunities to empower your career, and unleash your potential! 🚀 Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.
  • Your Well-being is our priority. Embrace Freedom and Flexibility! 💙 At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcome, not time-in-seat. You’ll be able to find the right work-personal life balance that suits you best.
  • Work hard, party hard! We believe in having fun and connecting with colleagues! 🎉 Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.
  • Enjoy a dynamic and healthy environment! 💫 Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You’ll work in an Agile mindset environment with recognition at our core.

Wanna take a peek into what it’s like to work at eDO? Follow us on LinkedIn and discover more about life at eDO!

If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.

Apply now!

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation.

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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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