155 Ofertas de Aprendizaje Automático en Madrid

La empresa busca a un Ingeniero/a con experiencia en el desarrollo de aplicaciones de procesado de datos mediante técnicas de Inteligencia Artificial (IA) y Aprendizaje Automático (ML).

El candidato/a deberá ser capaz de implementar soluciones End-to-End que integren modelos de IA y llevarlos a producción en entornos operativos reales.

• Desarrollo de Software: Creación de soluciones End-to-End para la explotación automática de imágenes de Radar de Apertura Sintética (SAR) mediante modelos de IA/ML. Esto incluye el entrenamiento, validación y optimización de los modelos hasta alcanzar el rendimiento requerido.
• Integración en Entornos Operativos: Puesta en producción de las soluciones desarrolladas, garantizando su disponibilidad, escalabilidad y rendimiento.

• Conocimiento avanzado de herramientas de Inteligencia Artificial y Aprendizaje Automático (TensorFlow, PyTorch), aplicadas a imágenes.
• Dominio sólido de Python y experiencia en otros lenguajes de programación (Matlab, C).
• Experiencia en la puesta en producción de aplicaciones y modelos mediante APIs (REST, FastAPI, etc.).
• Experiencia en el uso de contenedores (Docker) y en la orquestación de aplicaciones (Kubernetes).
• Buenas habilidades de comunicación oral y escrita.

• Salario fijo + variable.
• Plan de Beneficios Sociales.
• Modelo híbrido de trabajo.

Ready to push the boundaries of what’s possible with AI? Join a Quantum AI trailblazer on a mission to make AI faster, greener, and more accessible. You’ll collaborate with world-leading experts in quantum computing and AI, building breakthrough solutions that deliver real-world impact for global clients.

This is your chance to work on cutting-edge projects at the intersection of LLMs, quantum-inspired tech, and applied AI innovation.

This is a 9-month fixed-term contract (with potential extension), based in Madrid with hybrid working flexibility.

What you’ll be doing

• Invent new ways to compress and optimise Large Language Models with quantum-inspired methods.
• Benchmark, stress-test, and fine-tune LLMs to boost accuracy, efficiency, and robustness.
• Build and deploy LLM-powered apps – from RAG systems to AI agents.
• Act as an LLM specialist, spotting opportunities where quantum AI can make the impossible possible.
• Design and train custom deep learning models, not just for language, but also in computer vision and beyond.
• Keep experiments transparent with clear documentation, while driving innovation at speed.
• Mentor teammates, share knowledge, and help grow a culture of technical excellence.
• Stay ahead of the curve with the latest research, tools, and breakthroughs in AI.

What we’re looking for

• A degree in AI, Computer Science, Data Science (BSc, MSc, or PhD).
• 2+ years of hands-on deep learning experience – designing, training, or fine-tuning transformers or vision models.
• Strong track record with transformer models (Hugging Face Transformers, Accelerate, Datasets, etc.).
• Solid grasp of deep learning theory, training & inference.
• Excellent Python skills with PyTorch + Hugging Face expertise.
• Understanding of GPU architectures and LLM infrastructure.
• Hands-on with AWS (or similar), Docker, and deploying models in production.
• Problem-solver with sharp debugging, testing, and performance optimisation skills.
• Clear communicator, great collaborator, fluent in English.
• Bonus points for published research in AI/deep learning.

Ready to push the boundaries of what’s possible with AI? Join a Quantum AI trailblazer on a mission to make AI faster, greener, and more accessible. You’ll collaborate with world-leading experts in quantum computing and AI, building breakthrough solutions that deliver real-world impact for global clients.

This is your chance to work on cutting-edge projects at the intersection of LLMs, quantum-inspired tech, and applied AI innovation.

This is a 9-month fixed-term contract (with potential extension), based in Madrid with hybrid working flexibility.

What you’ll be doing

• Invent new ways to compress and optimise Large Language Models with quantum-inspired methods.
• Benchmark, stress-test, and fine-tune LLMs to boost accuracy, efficiency, and robustness.
• Build and deploy LLM-powered apps – from RAG systems to AI agents.
• Act as an LLM specialist, spotting opportunities where quantum AI can make the impossible possible.
• Design and train custom deep learning models, not just for language, but also in computer vision and beyond.
• Keep experiments transparent with clear documentation, while driving innovation at speed.
• Mentor teammates, share knowledge, and help grow a culture of technical excellence.
• Stay ahead of the curve with the latest research, tools, and breakthroughs in AI.

What we’re looking for

• A degree in AI, Computer Science, Data Science (BSc, MSc, or PhD).
• 2+ years of hands-on deep learning experience – designing, training, or fine-tuning transformers or vision models.
• Strong track record with transformer models (Hugging Face Transformers, Accelerate, Datasets, etc.).
• Solid grasp of deep learning theory, training & inference.
• Excellent Python skills with PyTorch + Hugging Face expertise.
• Understanding of GPU architectures and LLM infrastructure.
• Hands-on with AWS (or similar), Docker, and deploying models in production.
• Problem-solver with sharp debugging, testing, and performance optimisation skills.
• Clear communicator, great collaborator, fluent in English.
• Bonus points for published research in AI/deep learning.

Company Description

Prosper AI specializes in AI Phone Agents for healthcare, providing human-like expertise while significantly reducing costs. Our AI Agents efficiently handle tasks for calling patients and payors such as claims status checks, benefit verification, prior authorizations, patient scheduling, and balance reminders. We aim to eliminate $200B in administrative waste, allowing healthcare professionals to focus more on healing and less on administrative tasks.

At Prosper, we’re pushing the limits of what’s possible with real-time AI. We’re not just making voice agents that “talk”, we’re engineering systems that sound human, reason under strong latency constraints, and adapt instantly to messy, high-stakes healthcare conversations. As a ML Engineer, you’ll be at the center of designing and scaling the low-latency speech / LLM pipelines, orchestration layers, and reliability systems that make this possible.

This is a full-time on-site role located in Barcelona with the possibility to move to the New York Office.

Bachelor’s or Master’s degree in Computer Science, Engineering, Maths, Physics or related field (or equivalent experience).

3-5 years of experience building complex software solutions and / or deploying ML / AI models to production at scale.

Solid grasp of algorithms, data structures, and software engineering best practices, especially in Python. Familiarity with production ML practices.

Founder mindset : ownership + hard work. You see Prosper as a learning step for your future startup.

Be ready to handle the stress of deploying AI voice agents to thousands of daily phone calls

Overview

We are seeking a skilled and strategic Data Scientist to take ownership of our machine learning projects on Google Cloud Platform (GCP). The ideal candidate is a hands‑on expert in data science who also possesses a strong ability to bridge the gap between technical teams and business stakeholders.

Project leadership & mentorship: Drive data science projects from inception to deployment, providing technical guidance and mentorship to other team members.

Business communication: Act as the primary point of contact between the data science team and business units. Translate business challenges into data science problems and clearly communicate complex technical results and their business implications to non‑technical stakeholders.

Architect, build, and deploy scalable machine learning models and data‑driven solutions using Google Cloud Platform services (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow).

Write high‑quality, production‑ready code in Python for data analysis, feature engineering, model training, and evaluation.

Project management: Define project scopes, timelines, and deliverables. Manage project priorities and ensure the timely delivery of high‑impact solutions.

Technical strategy: Stay current with the latest advancements in machine learning, AI, and Google Cloud technologies, and drive the adoption of best practices in MLOps and data science.

Strong experience with deep learning frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning algorithms. A strong track record of successfully leading complex data science projects from concept to production.

• Google Cloud Expertise: Demonstrable, hands‑on experience with the GCP data and ML stack. Vertex AI (Pipelines, Training, Endpoints)
• BigQuery & BigQuery ML
• Cloud Storage, Pub / Sub, Dataflow / Dataproc

Expert‑level programming skills in Python and proficiency with data science libraries (Pandas, NumPy, Scikit‑learn, etc.).

Google Cloud Professional Machine Learning Engineer or Professional Data Engineer certification.

Experience working in an Agile / Scrum development environment.

Izertis, with more than 28 years of experience, listed on the BME Continuous Market and among the 1,000 fastest growing companies among European countries, gives you the opportunity to develop your career with more than 2,300 employees through its offices in Europe, America and Africa and with presence in more than 50 countries where we provide services and projects through a broad portfolio of solutions.

CHEP helps move more goods to more people in more places than any other organization on earth via our 347 million pallets crates and containers. We employ approximately 13000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model the worlds biggest brands trust us to help them transport their goods more efficiently safely and with less environmental impact.

What does that mean for you Youll join an international organization big enough to take you anywhere and small enough to get you there sooner. Youll help change how goods get to market and contribute to global sustainability. Youll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

• Collaborate with data scientists to pilot and scale new algorithms industrializing machine learning solutions across the organizations data network.
• Design develop and maintain data pipelines and infrastructure necessary for machine learning projects ensuring smooth integration with external IT systems for end-to-end solutions.
• Write scalable maintainable and future-proof code by leveraging knowledge of software architecture and design patterns.
• Develop common components to address challenges in machine learning projects such as model lifecycle management feature stores and data quality evaluation.
• Provide input on tools and frameworks to improve data quality and ensure the integrity of machine learning solutions.
• Work in agile cross-functional teams collaborating with software / machine learning engineers data scientists designers and product managers to build Brambles AI ecosystem.
• Deliver on project timelines demonstrating a strong commitment to team goals and backlog completion.
• Stay updated on emerging machine learning trends and continuously develop technical skills to drive innovation and improve project outcomes.

• Develop computer vision and deep learning applications related to object detection object segmentation and activity / action detection.
• Dedicated to delivering Machine Learning projects within the CHEP Supply Chain.
• Dedicated to driving industry and market exploration into Machine Learning capabilities assessing leading feasibility study and applications of how it can be used in CHEP to further enhance our platform inspection capability across all CHEP platforms.

• Lead the ideation prototyping and development of AI software.
• Demonstrate expertise in solving computer vision problems.
• Develop deep learning and traditional machine learning algorithms for CHEP business.
• Design and develop scalable software architectures.
• Demonstrate ongoing understanding of Machine Learning technologies in current marketplace and how they can be applied to the CHEP business.
• Facilitate design and deployment of vision hardware equipment needed for image data gathering.
• Create and maintain data pipeline architecture for ML algorithm development.

• Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms.
• Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods.

• MS or PhD in Computer Science Engineering Mathematics or Statistics with specialization in computer vision and deep learning.
• Proficiency in Deep Learning frameworks (Tensorflow Keras or Pytorch).
• Proficiency in Python.
• Proficiency in implementing deep learning architectures for Image classification Object detection and Object segmentation.
• Demonstrated experience in scientific research related to Computer vision and Deep learning.
• Scientific thinking and the ability to invent implement and lead technological developments in the field of computer vision and machine learning.
• Proficiency in CV / ML libraries (OpenCV Scikit-learn Numpy Pandas).
• Software development experience in multi-threaded applications.
• Excellent written and spoken communication skills.

• Minimum 3 years of industrial experience in developing and deploying Computer Vision and Deep Learning applications in Production at scale.
• Experience in software development (Python) integration with deep learning algorithms and deployment in production.
• Experience in multi-facility international organizations desired.
• Experience in a diverse multi-cultural corporate environment desired.
• Successful delivery of machine learning applications to internal or external customers.

Mandatory :

• Strong Python programming capabilities.
• Scientific understanding of popular / state-of-the-art deep learning architectures and computer vision algorithms for object detection and object segmentation.
• Ability to read scientific publications understand and implement proposed solutions
• Self-driven and strong problem-solving skills.
• Teamwork.
• Strong analytical skills and process focus.

Desirable :

• Publications in top CV conferences and Journals (CVPR ICCV ECCV NIPS ICML PAMI etc.).
• Experience with NVIDIA Jetson ONNX OpenVINO and TensorRT.
• Proficiency in Activity Recognition and Object tracking.
• 3D image algorithms experience.
• C programming capabilities.
• Ability to work in a Matrix Organization.

Required: English

Desirable: Spanish

Hybrid Remote

Active Learning Adaptability Bitbucket Cloud Infrastructure (Aws) Code Reviews Cross-Functional Work Curiosity Databricks Platform Data Infrastructure Data Science Digital Literacy Emotional Intelligence Empathy Git Initiative Machine Learning Problem Solving Python (Programming Language) SQL Tools

We are an Equal Opportunity Employer and we are committed to developing a diverse workforce in which everyone is treated fairly with respect and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as a veteran and basis of disability or any other federal state or local protected class.

Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer please contact us at

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full-Time

Experience : years

Vacancy : 1

Job Overview
Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client delivables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery.

Essential Functions

• Supporting development of generative AI solutions in the life sciences domain
• Fine-tuning pre-trained foundation models and supporting different stakeholders with analysis and implementation
• Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Facilitates the development of features of models on individual projects and/or products with guidance and support from others
• Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
• Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed
• Uses a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
• Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others
• Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery

Qualifications

• 2-4 years of commercial experience working on creating machine learning algorithms
• Demonstrated ability to apply an engineering mindset to problem-solving
• Extensive programming experience using Python
• Experience working with large, real world datasets
• Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• Good commercial awareness/business judgement and an interest in the healthcare industry
• Good project management, time management and organisational skills; eagerness to work with internal and client business owners to ensure they are asking the right questions

IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes.

Mission

• Develop Marketing Science solutions in the area of media analytics

• Support the product development during concept testing phases, scaling and production

• Transform proofs-of-concept into scalable, production-ready code

• Develop, implement and standardize marketing science solutions in proofs-of-concept and prototypes

• Continuously improve the efficiency of the marketing science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)

• Optimize marketing science models using code optimization, high-performance computing and real-time techniques

• Build analytical pipelines at scale using cloud services, containerized applications and distributed systems

• Identify best practices and create continuous improvement of tools and methods

• Closely collaborate with Product Owners, Modellers, Marketing Scientists and Front End Software Engineers

• Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills

• Strong expertize in Python usage - at least 3 years of development

• Understanding of R

• Experienced in statistical modelling on top of predictive modeling

• Able to manage code deployments (experience with GIT)

• Basic understanding of Dockerization – building and managing docker images

• Experienced with creating, managing and/or maintaining code documentation

• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)

• Ability to present and explain complex concepts to less experienced colleagues

• Strong analytical and problem-solving skills

• Able to work independently

• Good attention to detail – ensure all outputs are delivered professionally and accurate

• Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit

• Well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment able to work alone without constant support, and well organized

• Ease of communication in an English-speaking business environment

• Hybrid : our team goes 1 per week at Madrid office - we offer a Flexible working mode

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the diversity page at NIQ.