Ofertas de empleo en Dockers

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. Python Azure Docker Cloud Coumputing Kubernetes Hadoop AWS Spark Big Data Machine Learning

Lead Machine Learning Engineer

About Coca-Cola Europacific Partners (CCEP)

CCEP is the world’s largest independent Coca-Cola bottler, operating across 13 countries and serving over 300 million consumers. Our portfolio includes iconic brands like Coca-Cola®, Fanta®, Powerade®, Glaceau Vitaminwater®, Monster®, and Capri-Sun®.

We’re on a journey to unlock the full potential of data and analytics across our business. With our first-ever Chief Data & Analytics Officer leading the way, we’re building a progressive data strategy that transforms insights into action—driving growth, efficiency, and sustainability.

The Role: Lead Machine Learning Engineer

As the Lead Machine Learning Engineer, you’ll be at the forefront of designing, developing, and deploying cutting-edge machine learning solutions. You’ll work closely with data scientists, engineers, and business stakeholders to operationalize models and build scalable ML pipelines that power our data-driven products and services.

Key Responsibilities

• Lead end-to-end development of ML models using Python, scikit-learn, Keras/TensorFlow.
• Architect and maintain scalable ML pipelines integrated with our data platforms.
• Implement advanced ML techniques (e.g., bagging, boosting, ensemble methods, neural networks).
• Monitor model performance and data drift; optimize reliability and accuracy.
• Define and track ML Ops metrics (accuracy, latency, drift, resource utilization).
• Collaborate with data scientists to productionize research models.
• Establish best practices for model versioning, reproducibility, and retraining.
• Mentor junior ML engineers and foster a culture of innovation.
• Stay ahead of industry trends and introduce new tools and techniques.
  
  

What We’re Looking For

Required Skills & Experience

• Proven leadership in ML engineering teams or projects.
• Expert in Python and ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
• Strong grasp of advanced ML techniques and ML Ops practices.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and stakeholder engagement skills.
• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• Experience with big data tools (Spark, Hadoop).
• Familiarity with feature stores, model registries, and experiment tracking.
• Exposure to business domains like finance, healthcare, or retail analytics.
  
  

Why Join Us?

• Lead and shape the ML engineering function in a data-driven organisation.
• Work in a collaborative and innovative environment.
• Access continuous learning and professional development.
  
  

You Might Be the Right Fit If You…

• Are a hands-on Senior ML Engineer and team leader.
• Are passionate about high-quality delivery and coaching others.
• Value sustainable, flexible data platforms and their business impact.
• Combine software engineering discipline with data science rigor.
• Create an environment where your team thrives.
  
  

Ready to Make an Impact?

Apply now and be part of our data transformation journey.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
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. Python Azure Docker Cloud Coumputing Kubernetes Hadoop AWS Spark Big Data Machine Learning

Lead Machine Learning Engineer

About Coca-Cola Europacific Partners (CCEP)

CCEP is the world’s largest independent Coca-Cola bottler, operating across 13 countries and serving over 300 million consumers. Our portfolio includes iconic brands like Coca-Cola®, Fanta®, Powerade®, Glaceau Vitaminwater®, Monster®, and Capri-Sun®.

We’re on a journey to unlock the full potential of data and analytics across our business. With our first-ever Chief Data & Analytics Officer leading the way, we’re building a progressive data strategy that transforms insights into action—driving growth, efficiency, and sustainability.

The Role: Lead Machine Learning Engineer

As the Lead Machine Learning Engineer, you’ll be at the forefront of designing, developing, and deploying cutting-edge machine learning solutions. You’ll work closely with data scientists, engineers, and business stakeholders to operationalize models and build scalable ML pipelines that power our data-driven products and services.

Key Responsibilities

• Lead end-to-end development of ML models using Python, scikit-learn, Keras/TensorFlow.
• Architect and maintain scalable ML pipelines integrated with our data platforms.
• Implement advanced ML techniques (e.g., bagging, boosting, ensemble methods, neural networks).
• Monitor model performance and data drift; optimize reliability and accuracy.
• Define and track ML Ops metrics (accuracy, latency, drift, resource utilization).
• Collaborate with data scientists to productionize research models.
• Establish best practices for model versioning, reproducibility, and retraining.
• Mentor junior ML engineers and foster a culture of innovation.
• Stay ahead of industry trends and introduce new tools and techniques.
  
  

What We’re Looking For

Required Skills & Experience

• Proven leadership in ML engineering teams or projects.
• Expert in Python and ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
• Strong grasp of advanced ML techniques and ML Ops practices.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving and stakeholder engagement skills.
• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• Experience with big data tools (Spark, Hadoop).
• Familiarity with feature stores, model registries, and experiment tracking.
• Exposure to business domains like finance, healthcare, or retail analytics.
  
  

Why Join Us?

• Lead and shape the ML engineering function in a data-driven organisation.
• Work in a collaborative and innovative environment.
• Access continuous learning and professional development.
  
  

You Might Be the Right Fit If You…

• Are a hands-on Senior ML Engineer and team leader.
• Are passionate about high-quality delivery and coaching others.
• Value sustainable, flexible data platforms and their business impact.
• Combine software engineering discipline with data science rigor.
• Create an environment where your team thrives.
  
  

Ready to Make an Impact?

Apply now and be part of our data transformation journey.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
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. IoT QA Docker

Job Description:

For the Maintenance Team within Airbus Space Spain we are looking for an Maintenance Engineer.

Mission:

Ensure corrective and preventive maintenance activities on machines for production satisfaction, ensuring machine availability and cost efficiency.

Introduce Maintenance expertise in acquisition of new industrial assets and optimize the Maintenance plan for industrial assets in production.

Check definitive documentation for Maintenance of new assets; Maintenance reports of assets in production; Maintenance plan; Asset Maintainability analysis; Needs for industrial spare parts; Learning solution development need

Main Activities:

• Maintenance Focal Point for specific area
• Jigs & Tools, Containers, Auxiliary Means Technologies
• AFP, ATL, Autoclave, Cutting, Freezer, Painting, Trimming, Milling, Handling, Test machines: Specialist in Airbus Machine Technology
• Spare parts engineering, FMEA
• Review and performance of procedures
• Review and performance preventive maintenance and predictive
• Support breakdowns, OEM contacts
• Definition and documentation in new facilities and assets
• Definition and documentation in modifications and improvement (Kaizen)
• RCM: Reliability Centered in Maintenance
• TPM: Total Productive Maintenance
• RCA: Root Cause Analysis (PPS, Shainin)
• Management and control of activities in Maximo / SAP
• IVUs: Supervision and approval of measurements in tools
• Interaction with ME & QA
• Participation in SQCDP panels and meetings with stakeholders
• Asset Consumables: Control, stock, purchase, improvements
• Metrology: Interface to Metrology, budget, task monitoring, improvements
• Knowledge: Ensure feedback within Airbus maintenance department
• Reports: All maintenance related reports
• Cibersecurity: Support the activities relation with the IoT
• Sustainability: Activities to ensure the goals of ADS
• Industrial cleaning management
• Software adquisition, control and upgrade of industrial means
• Management of industrial means systems
• Backups of industrial means systems
• Participation in MFT of strategy project related with industrial means
  
  

Core Competences:

• Maintenance Engineering Methodologies (RCM, TPM, FMEA, ...)
• J&T Maintenance
• EHS Fundamentals
• Fundamentals in Manufacturing Engineering
• Equipment Efficiency
• Software: MAXIMO / SAP-PLM-PM
• Quality Fundamentals
• Project lifecycle management
• RCA: Root Cause Analysis (PPS, Shainin)
  
  

Additional Competences:

• Industrial digitalization system
• Industrial Cybersecurity
• CapEx
• Industrial asset management
• Total Cost of ownership
• Risk & Opportunity Management
• Supervise Maintenance Contracts
• Spares stock forecast & planning
• Fundamental Machinery & automation
• Machinery & Automation technical Background
• Knowledge of industrial software
  
  

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space SAU

Employment Type:

Permanent

Experience Level:

Professional

Job Family:

Manufacturing Engineering

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected] .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

#YESPOST

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Teletrabajo . API Java MongoDB TSQL NoSQL Jenkins Docker Cloud Coumputing Kubernetes Git Hibernate Oracle jUnit PostgreSQL Spring Microservices SQL Server

En Ad4Octogono estamos en búsqueda de profesionales especializados en desarrollo Java y APX con al menos 2 años de experiencia, para incorporarse a nuestros equipos de desarrollo.

Si te apasiona el desarrollo en Java y dominas Spring (Spring Boot, Spring Data, Spring Cloud), Hibernate, JSF y Microservicios, ¡esta es tu oportunidad!

🧩 Funciones

• Desarrollo y mantenimiento de aplicaciones en Java.
• Colaboración en el diseño e implementación de soluciones tecnológicas.
• Participación en el análisis y resolución de incidencias.
• Aplicación de buenas prácticas de programación.
• Creación de soluciones eficientes, escalables y fiables.
  
  

🎯 Requisitos Imprescindibles

• Experiencia demostrable en Java, Spring, Spring Boot, Hibernate, JSF...
• Conocimientos en bases de datos SQL y NoSQL (SQL Server, PostgreSQL, Oracle, MongoDB).
• Manejo de sistemas de control de versiones: Git, GitHub.
• Capacidad para trabajar de forma autónoma y en equipo.
• Orientación a resultados y alta calidad en la entrega.
  
  

🎯Valorable

• Certificación APX
• Desarrollo y pruebas: JUnit, Mockito.
• API Management: RESTful APIs.
• CI/CD: Jenkins, GitHub Actions.
• Contenedores: Docker, Kubernetes.
• Seguridad: OAuth2, JWT.
• Inglés nivel B2 o superior.
  
  

💼 Ofrecemos

• Formar parte de un entorno profesional, dinámico y colaborativo.
• Oportunidades reales de crecimiento y desarrollo profesional.
• Salario competitivo y beneficios adicionales.
• Modalidad híbrida
• Jornada intensiva en julio y agosto (teletrabajo).
  
  

Si cumples con los requisitos y te motiva el desafío, ¡queremos conocerte!

📩 Envía tu candidatura y únete a un equipo donde la innovación y el talento van de la mano.

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Teletrabajo . Azure Cloud Coumputing AWS Terraform Docker

Description

Upwind is the runtime-powered CNAPP that leverages runtime data to secure our customers’ cloud infrastructure. Upwind’s holistic approach to cloud security helps organizations mitigate the risks that actually matter, identify the root causes of threats in minutes and respond with context and automation. Upwinders are spread across the globe in all departments and work together to protect the infrastructure of our customers - we’re a strong, emerging player in a massive and growing market, and it’s still early enough for you to make a significant impact. At Upwind, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth.

We are looking for an experienced Solutions Architect to join our team of expert sellers that is deeply committed to building meaningful relationships with customers, focusing on their value and thinking strategically about bringing deals to close.

Responsibilities

• Develop a deep understanding of Upwind's cloud security products and services
• Collaborate with the sales team to understand customer requirements and tailor technical solutions to meet their needs
• Provide technical guidance and support throughout the sales cycle
• Lead and manage the execution of POC engagements to demonstrate the effectiveness of our solutions.
• Act as a liaison between the sales and product development teams, providing valuable insights from customer interactions
  
  

Requirements

• Proven experience as a Sales /Solutions Engineer or in a similar technical pre-sales role within the cloud security industry
• In-depth knowledge of cloud computing, cybersecurity principles, and industry best practices
• Strong presentation and communication skills with the ability to convey technical concepts to a non-technical audience
• Ability to work independently and collaboratively in a remote team environment
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience with Terraform, k8s and containers is a plus

• Nivel de experiencia---
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Teletrabajo . React Node.js Python Azure Docker Cloud Coumputing

Provincia : Madrid

Nº Vacantes (puestos) : 1

Funciones

Se requiere un Senior Full Stack Software Developer para apoyar a nuestro equipo en la escalabilidad de activos de IA y el desarrollo de un producto innovador de Retrieval-Augmented Generation (RAG).

El servicio será para colaborar en la intersección entre modelos de lenguaje de última generación (LLMs), agentes y desarrollo de aplicaciones, contribuyendo al futuro de soluciones impulsadas por IA.

• Servicio con enfoque en desarrollo front end.
• Construcción de interfaces frontend intuitivas y responsivas utilizando React.
• Colaboración con equipos multidisciplinarios en el diseño e implementación de aplicaciones y soluciones potenciadas por IA.
• Contribuir al desarrollo de productos RAG y mejorar la escalabilidad de los activos de IA.
• Colaboración con tecnologías emergentes de IA, incluyendo LLMs, arquitecturas agenticas e integraciones de aplicaciones.
  
  

Requisitos

Experiencia comprobada en desarrollo full stack con Python (backend) y React (frontend).

Sólida experiencia en despliegue en entornos reales y buenas prácticas.

Diseño de soluciones de software escalables, confiables y mantenibles.

Se valorará positivamente la experiencia con LLMs o en entornos de innovación.

Conocimientos técnicos requeridos:

• Python
• REACT.js
• Node.js
• Docker
• LangChain
• Cloud: Amazon, Azure
• LLMs
• RAG
• Nivel Inglés avanzado obligatorio
• Metodología ágil
  
  

Conocimientos técnicos deseables:

• Experiencia práctica con LangChain
• Despliegue y optimización de modelos de IA
  
  

Se ofrece

Contrato indefinido

Proyecto estable

Teletrabajo 3 días/semana

Ubicación: Cornellá

Formación

Retribución flexible (seguro médico, ticket restaurante, cheque guardería)

Salario a negociar

• Nivel de experiencia---
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. Java MongoDB Maven Docker Cloud Coumputing Kubernetes Git Spring jUnit Microservices

• Desarrollador Backend (Java 17, Kubernetes)
• Microservicios en SpringBoot con Java 17/21 bajo Maven y Git realizando las pruebas unitarias con Junit y Mockito
• Despliegue de microservicios en cloud bajo Kubernetes, Docker y Helm
• Conocimientos de MongoDB

• Nivel de experiencia---
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. Java Docker Hibernate AWS DevOps Spring

Responsabilidades

Desarrollo y mantenimiento de aplicaciones Java y soluciones basadas en AWS con alto rendimiento y escalabilidad.

Implementación e integración de soluciones CCM, gestionando comunicaciones y generación de documentos.

Participación en decisiones de diseño técnico y arquitectura de aplicaciones.

Colaboración con equipos multifuncionales para asegurar la alineación con necesidades del negocio.

Resolución de problemas en entornos de producción y preproducción.

Orientación y mentoring a desarrolladores júnior.

Desarrollo de APIs y garantía de integración fluida con sistemas CCM.

Cumplimiento de estándares de seguridad y regulaciones del sector bancario.

💻 Habilidades y tecnologías obligatorias

5 años de experiencia con

Java SE/EE, programación orientada a objetos, multihilo, Spring, Hibernate

Spring Boot (imprescindible)

CI/CD, Docker, GitHub

Experiencia en bases de datos

Conocimiento de sistemas de infraestructura distribuida y arquitecturas cliente-servidor

Familiaridad con herramientas GenAl

Experiencia en DevOps y estándares de codificación

🎓 Formación y experiencia

Titulación en Informática, Ciencias o similar

Experiencia mínima de 5 años en desarrollo de software

Nivel alto de inglés

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. React Javascript API Java Python Agile TSQL Django Jenkins Angular Docker Kubernetes Ansible DevOps Machine Learning

BNP Paribas Group

BNP Paribas is one of the euro zone’s leading banks, with nearly 200 000 employees in 74 countries with key positions in its three main activities: Retail Banking, Investment & Protection Services, International Financial Services and Corporate & Institutional Banking.

Throughout the world, BNP Paribas employees are deeply involved with the real economy. They help women and men, as well as businesses, associations, and institutions, to build their projects and solve concrete problems. As an international company and one of the largest banks, we have the human, technological and financial means to help move the lines, to be part of the solution, to be forerunners. Our company is renewing its client-centered model to become more digital. This move goes hand in hand with our focus on bringing positive contributions to society.

AIR Tech team

Our AIR Tech team (Artificial Intelligence & Robotics Technology for RISK and Compliance) is here to drive the bank's digital transformation through the development of strategies and recommendations based on advanced analytical methods.

Within the RISK and Compliance functions, AIR Tech is an AI (Artificial Intelligence) expert team in charge of developing Artificial Intelligence solutions for RISK and Compliance Streams and beyond.

Role Responsibilities

As an ML (Machine Learning) Engineer, you will play a pivotal role in deploying AI models that drive strategic decision-making and operational efficiency. The ML Engineer will collaborate with cross-functional teams to integrate machine learning and other AI models into the business processes and provide technical support to ensure the success of AI initiatives.

Within our team of c.35 people, you will support Data Scientists and contribute to industrializing the analysis and modelling of structured and unstructured data. You will also contribute to the architecture design of the solution for your project. And you will participate in the team effort in building tools and frameworks to improve efficiency with a focus on delivering high standard code and models.

You will also be involved in the MLOps activities, especially in deploying and monitoring our ML models in production. You will work closely with Data Scientists to define and operate an AI model lifecycle and to ensure the optimal performance of our portfolio of models.

Key Responsibilities

• Integration of machine learning models into business processes, ensuring smooth deployment and effective performance.
• Full stack development (front-end/back-end) and architecture design for projects but also development of some API based on common data processing needs
• Technical support for Data Scientists in terms of ensuring proper code structuring and better automation of workflows
• Technology monitoring on artificial intelligence topic (for instance review of internal or external solutions
  
  
  

Beyond projects, ML Engineers are expected to share their expertise at multiple levels: within the team though technical sharing sessions and beyond as well during our regular open discussion sessions on AI.

Technical Skills And Qualifications

• Expertise: Python (mandatory), SQL, Elastic search, Docker, Devops and MLops methodology, Angular, JavaScript, SQL, Apache, React, Django, Java.
• Education: Bachelor or Master Degree in Computer Science or related field.
• Skills:
  
  
  

Skills

experience as software engineer/ data analytics engineer in an agile, innovation-oriented team is appreciated preferably with at least one of the following skills:

In particular Experience building and maintaining CI/CD pipelines. building and maintaining CI/CD pipelines using tools such as Ansible, Jenkins, Docker, and Kubernetes, or building, deploying, and monitoring ML/GenAi models in production using tools such as MLFlow and Kubeflow.

• Languages: Fluent in English. Spanish and/or French a plus
• Personal profile:
• Strong analytical / problem solving skills.
• Capacity to work in project mode.
• Rigorous and curious.
• Resourceful.
• Client-oriented.
  
  
  

Diversity and inclusion commitment

BNP Paribas Group in Spain is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.