6.379 Ofertas de Deep Learning en España

Overview

We’re hiring a Deep Learning Engineer at THEKER Robotics. Join a robotics and AI company building intelligent, adaptable systems that solve problems traditional automation never could. From Barcelona, our mission is to create a generation-defining company leading the robotics revolution.

By joining us, you will have the chance to do meaningful work, setting a new standard for industrial automation and driving breakthroughs with global reach, while being surrounded by a focused, talent-dense team that shares this ambition and is here to win.

We’re looking for a Deep Learning Engineer to design, train, and deploy advanced AI models that power our robots. You’ll work on computer vision and natural language processing, enabling intelligent perception, decision-making, and real-world autonomy.

• Bachelor’s or Master’s degree in AI, Deep Learning, Computer Science, Data Science, or related field.
• Strong knowledge of Deep Learning techniques (CNNs, transformers, reinforcement learning, etc.).
• Proficiency with frameworks like PyTorch or TensorFlow.
• Strong problem-solving mindset and willingness to push the boundaries of robotics AI.
• Collaborative and open communicator.
• Willingness to reside in or relocate to Barcelona.
• Nice to have: experience with computer vision (object detection, segmentation), NLP, Python/C++ for implementation, or participation in projects (competitions, research, personal innovations).

• You’re excited by a fast-paced and ambitious environment. The opportunity ahead of us is enormous, and we’re going all in to capture it.
• You want responsibility early on, delivering at world-class standards for leading clients.
• You enjoy experimenting, iterating quickly, and embracing change as part of the learning process.
• You’re open to feedback, collaborative, and enjoy making decisions as a team

• Develop and implement Deep Learning models for robotic applications (vision, text, decision-making).
• Train, test, and optimize models to achieve high accuracy and real-time performance.
• Collaborate with robotics engineers to integrate AI models into robotic systems.
• Stay up to date with state-of-the-art techniques and apply them to real-world challenges.
• Contribute to the design and architecture of AI-driven systems that enhance robot autonomy.

• Being part of a fast-growing robotics and AI company with huge ambition, where your career can accelerate alongside us.
• The chance to make a real impact from day one, building robotics solutions with global reach.
• A focused, talent-dense team of passionate innovators who live and breathe robotics.
• An environment where new ideas are encouraged, and your contributions shape both the product and the company.

• Intro call with Martín (Chief of Staff).
• Technical challenge (take-home).
• Conversation with our technical team.
• Meet the rest of the team and founders and work together on a live challenge at our offices.

These steps can be completed in 7 days.

We’re committed to equality, diversity, and inclusion. We welcome all applications regardless of background, age, gender, disability, sexual orientation, or beliefs.

Entry level

Full-time

Information Technology

Computer Hardware Manufacturing

We’re hiring a Deep Learning Engineer at THEKER Robotics. Join a robotics and AI company building intelligent, adaptable systems that solve problems traditional automation never could. From Barcelona, our mission is to create a generation-defining company leading the robotics revolution.

By joining us, you will have the chance to do meaningful work, setting a new standard for industrial automation and driving breakthroughs with global reach, while being surrounded by a focused, talent-dense team that shares this ambition and is here to win.

We’re looking for a Deep Learning Engineer to design, train, and deploy advanced AI models that power our robots. You’ll work on computer vision and natural language processing, enabling intelligent perception, decision-making, and real-world autonomy.

• Bachelor’s or Master’s degree in AI, Deep Learning, Computer Science, Data Science, or related field.
• Strong knowledge of Deep Learning techniques (CNNs, transformers, reinforcement learning, etc.).
• Proficiency with frameworks like PyTorch or TensorFlow.
• Strong problem-solving mindset and willingness to push the boundaries of robotics AI.
• Collaborative and open communicator.
• Willingness to reside in or relocate to Barcelona.
• Nice to have: experience with computer vision (object detection, segmentation), NLP, Python/C++ for implementation, or participation in projects (competitions, research, personal innovations).

• You’re excited by a fast-paced and ambitious environment. The opportunity ahead of us is enormous, and we’re going all in to capture it.
• You want responsibility early on, delivering at world-class standards for leading clients.
• You enjoy experimenting, iterating quickly, and embracing change as part of the learning process.
• You’re open to feedback, collaborative, and enjoy making decisions as a team

• Develop and implement Deep Learning models for robotic applications (vision, text, decision-making).
• Train, test, and optimize models to achieve high accuracy and real-time performance.
• Collaborate with robotics engineers to integrate AI models into robotic systems.
• Stay up to date with state-of-the-art techniques and apply them to real-world challenges.
• Contribute to the design and architecture of AI-driven systems that enhance robot autonomy.

• Being part of a fast-growing robotics and AI company with huge ambition, where your career can accelerate alongside us.
• The chance to make a real impact from day one, building robotics solutions with global reach.
• A focused, talent-dense team of passionate innovators who live and breathe robotics.
• An environment where new ideas are encouraged, and your contributions shape both the product and the company.

• Intro call with Martín (Chief of Staff).
• Technical challenge (take-home).
• Conversation with our technical team.
• Meet the rest of the team and founders and work together on a live challenge at our offices.

These steps can be completed in 7 days.

We’re committed to equality, diversity, and inclusion. We welcome all applications regardless of background, age, gender, disability, sexual orientation, or beliefs.

Entry level

Full-time

Information Technology

Computer Hardware Manufacturing

Overview

Join to apply for the Deep Learning Engineer (Voice) role at Revolut .

Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with advanced LLMs, developing solutions that have a tangible impact on millions of customers around the world. You’ll collaborate closely in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers to solve complex problems and deliver automated, scalable solutions.

We’re looking for a Deep Learning Engineer to join a team where you’ll help shape the future of Revolut’s AI-driven capabilities. If you’re excited to apply your expertise to real-world problems and drive impact, let’s get in touch.

• Building AI voice products from the ground up, including voice assistants, AI-powered call centre agents, AI-driven outbound sales agents, and more
• Developing real-time, user-facing features powered by LLMs and deep learning models
• Delivering scalable, production-grade AI solutions that support millions of customers
• Collaborating across teams (Product, Engineering, Data, Ops) to integrate advanced AI in meaningful ways
• Experimenting and iterating on advanced voice and NLP systems

• Production experience in deep learning within natural language processing and voice technologies
• A bachelor’s degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (Python, SQL) and production tools
• A deep understanding of probability and statistics fundamentals
• Big-picture thinking to correctly diagnose problems and productionise research
• Excellent communication and collaboration skills to partner with Product Owners and business heads

• A master’s or PhD in a quantitative discipline
• Expertise with additional programming languages, such as Java, Scala, C++
• Experience at a large tech company worth >$15B
• School/university Olympiad medal competitions in physics, maths, economics, or programming

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 60+ million customers get more from their money every day.

As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we have been certified as a Great Place to Work.

Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.

• Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
• Always double-check the emails you receive. Make sure all communications are through official Revolut emails, with an @revolut.com domain.

We won’t ask for payment or personal financial information during the hiring process. If anyone does, report it immediately.

By submitting this application, you confirm that all information provided is true to the best of your knowledge. You consent to Revolut processing your personal data in accordance with Revolut’s Candidate Privacy Notice.

Seniority level : Entry level

Employment type : Full-time

Job function : Engineering and Information Technology

Overview

Join to apply for the Deep Learning Engineer (Voice) role at Revolut .

Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with advanced LLMs, developing solutions that have a tangible impact on millions of customers around the world. You’ll collaborate closely in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers to solve complex problems and deliver automated, scalable solutions.

We’re looking for a Deep Learning Engineer to join a team where you’ll help shape the future of Revolut’s AI-driven capabilities. If you’re excited to apply your expertise to real-world problems and drive impact, let’s get in touch.

• Building AI voice products from the ground up, including voice assistants, AI-powered call centre agents, AI-driven outbound sales agents, and more
• Developing real-time, user-facing features powered by LLMs and deep learning models
• Delivering scalable, production-grade AI solutions that support millions of customers
• Collaborating across teams (Product, Engineering, Data, Ops) to integrate advanced AI in meaningful ways
• Experimenting and iterating on advanced voice and NLP systems

• Production experience in deep learning within natural language processing and voice technologies
• A bachelor’s degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (Python, SQL) and production tools
• A deep understanding of probability and statistics fundamentals
• Big-picture thinking to correctly diagnose problems and productionise research
• Excellent communication and collaboration skills to partner with Product Owners and business heads

• A master’s or PhD in a quantitative discipline
• Expertise with additional programming languages, such as Java, Scala, C++
• Experience at a large tech company worth >$15B
• School/university Olympiad medal competitions in physics, maths, economics, or programming

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 60+ million customers get more from their money every day.

As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we have been certified as a Great Place to Work.

Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.

• Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
• Always double-check the emails you receive. Make sure all communications are through official Revolut emails, with an @revolut.com domain.

We won’t ask for payment or personal financial information during the hiring process. If anyone does, report it immediately.

By submitting this application, you confirm that all information provided is true to the best of your knowledge. You consent to Revolut processing your personal data in accordance with Revolut’s Candidate Privacy Notice.

Seniority level : Entry level

Employment type : Full-time

Job function : Engineering and Information Technology

Data Scientist (NLP Deep Learning Engineer) at Revolut. Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of Revolut customers worldwide. You’ll be embedded in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions that continually improve. This role offers the opportunity to collaborate with top-tier professionals in Product, Design, Engineering, and AI to shape the future of Revolut’s AI-driven capabilities. Our projects span the creation of personal assistants, intelligent chatbots, copilots, and more, all designed to elevate user experience and revolutionise customer interaction.

• Building AI-driven features from scratch like personal assistants, chatbots, copilots and more.
• Developing user-focused and backend features using deep learning
• Delivering impactful, scalable, data-driven AI solutions
• Collaborating with Product, Engineering, and Data teams to solve deep learning challenges
• Integrating cutting-edge AI technologies to drive innovation at Revolut

• Experience in Deep Learning within Natural Language Processing area and Large Language Models
• A Bachelor's degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (Python, SQL) and production tools
• A deep understanding of probability and statistics fundamentals
• Big picture thinking to correctly diagnose problems and productionising research
• Excellent communication and collaboration skills to partner with Product Owners and business heads

• A master's or PhD in a quantitative discipline
• Strong experience with additional programming languages, such as Java, Scala, C++
• Experience at a large tech company worth >$15B
• School/University Olympic medal competitions in physics, maths, economics or programming

We’re committed to building an inclusive, diverse team and welcome applicants from diverse backgrounds and experiences. Please apply through official Revolut channels. We won’t ask for payment or personal financial information during the hiring process. If you suspect a scam, report it immediately. By submitting this application, you consent to Revolut processing your personal data in accordance with Revolut's Candidate Privacy Notice.

• Entry level

• Full-time

• Engineering and Information Technology

Data Scientist (NLP Deep Learning Engineer) at Revolut. Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of Revolut customers worldwide. You’ll be embedded in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions that continually improve. This role offers the opportunity to collaborate with top-tier professionals in Product, Design, Engineering, and AI to shape the future of Revolut’s AI-driven capabilities. Our projects span the creation of personal assistants, intelligent chatbots, copilots, and more, all designed to elevate user experience and revolutionise customer interaction.

• Building AI-driven features from scratch like personal assistants, chatbots, copilots and more.
• Developing user-focused and backend features using deep learning
• Delivering impactful, scalable, data-driven AI solutions
• Collaborating with Product, Engineering, and Data teams to solve deep learning challenges
• Integrating cutting-edge AI technologies to drive innovation at Revolut

• Experience in Deep Learning within Natural Language Processing area and Large Language Models
• A Bachelor's degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (Python, SQL) and production tools
• A deep understanding of probability and statistics fundamentals
• Big picture thinking to correctly diagnose problems and productionising research
• Excellent communication and collaboration skills to partner with Product Owners and business heads

• A master's or PhD in a quantitative discipline
• Strong experience with additional programming languages, such as Java, Scala, C++
• Experience at a large tech company worth >$15B
• School/University Olympic medal competitions in physics, maths, economics or programming

We’re committed to building an inclusive, diverse team and welcome applicants from diverse backgrounds and experiences. Please apply through official Revolut channels. We won’t ask for payment or personal financial information during the hiring process. If you suspect a scam, report it immediately. By submitting this application, you consent to Revolut processing your personal data in accordance with Revolut's Candidate Privacy Notice.

• Entry level

• Full-time

• Engineering and Information Technology

Data Scientist (NLP Deep Learning Engineer) at Revolut. Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of Revolut customers worldwide. You’ll be embedded in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions that continually improve. This role offers the opportunity to collaborate with top-tier professionals in Product, Design, Engineering, and AI to shape the future of Revolut’s AI-driven capabilities. Our projects span the creation of personal assistants, intelligent chatbots, copilots, and more, all designed to elevate user experience and revolutionise customer interaction.

• Building AI-driven features from scratch like personal assistants, chatbots, copilots and more.
• Developing user-focused and backend features using deep learning
• Delivering impactful, scalable, data-driven AI solutions
• Collaborating with Product, Engineering, and Data teams to solve deep learning challenges
• Integrating cutting-edge AI technologies to drive innovation at Revolut

• Experience in Deep Learning within Natural Language Processing area and Large Language Models
• A Bachelor's degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (Python, SQL) and production tools
• A deep understanding of probability and statistics fundamentals
• Big picture thinking to correctly diagnose problems and productionising research
• Excellent communication and collaboration skills to partner with Product Owners and business heads

• A master's or PhD in a quantitative discipline
• Strong experience with additional programming languages, such as Java, Scala, C++
• Experience at a large tech company worth >$15B
• School/University Olympic medal competitions in physics, maths, economics or programming

We’re committed to building an inclusive, diverse team and welcome applicants from diverse backgrounds and experiences. Please apply through official Revolut channels. We won’t ask for payment or personal financial information during the hiring process. If you suspect a scam, report it immediately. By submitting this application, you consent to Revolut processing your personal data in accordance with Revolut's Candidate Privacy Notice.

• Entry level

• Full-time

• Engineering and Information Technology

Data Scientist (NLP Deep Learning Engineer)
Data Scientist (NLP Deep Learning Engineer) at Revolut. Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of Revolut customers worldwide. You’ll be embedded in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions that continually improve. This role offers the opportunity to collaborate with top-tier professionals in Product, Design, Engineering, and AI to shape the future of Revolut’s AI-driven capabilities. Our projects span the creation of personal assistants, intelligent chatbots, copilots, and more, all designed to elevate user experience and revolutionise customer interaction.

What You’ll Be Doing

Building AI-driven features from scratch like personal assistants, chatbots, copilots and more.

Developing user-focused and backend features using deep learning

Delivering impactful, scalable, data-driven AI solutions

Collaborating with Product, Engineering, and Data teams to solve deep learning challenges

Integrating cutting-edge AI technologies to drive innovation at Revolut

What You'll Need

Experience in Deep Learning within Natural Language Processing area and Large Language Models

A Bachelor's degree in a STEM major (mathematics, computer science, engineering)

Excellent knowledge of data science (Python, SQL) and production tools

A deep understanding of probability and statistics fundamentals

Big picture thinking to correctly diagnose problems and productionising research

Excellent communication and collaboration skills to partner with Product Owners and business heads

Nice to have

A master's or PhD in a quantitative discipline

Strong experience with additional programming languages, such as Java, Scala, C++

Experience at a large tech company worth >$15B

School/University Olympic medal competitions in physics, maths, economics or programming

Important notes
We’re committed to building an inclusive, diverse team and welcome applicants from diverse backgrounds and experiences. Please apply through official Revolut channels. We won’t ask for payment or personal financial information during the hiring process. If you suspect a scam, report it immediately. By submitting this application, you consent to Revolut processing your personal data in accordance with Revolut's Candidate Privacy Notice.

Seniority level
Entry level

Employment type
Full-time

Job function
Engineering and Information Technology

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Overview

We are seeking a highly skilled Machine Learning Engineer with expertise in Deep Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). You will be responsible for designing, building, and deploying advanced ML models and pipelines, ensuring scalability, performance, and production readiness. The ideal candidate has strong research knowledge combined with hands-on engineering skills to deliver intelligent, enterprise-grade AI solutions.

Location: Remote in EU
Employment Type: Full-Time, B2B Contract
Start Date: ASAP
Language Requirements: Fluent English

• Design, develop, and optimize ML models with a focus on deep learning, NLP, and LLM-based applications.
• Build scalable pipelines for training, fine-tuning, evaluation, and deployment of models.
• Work with frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Fine-tune and adapt pre-trained LLMs (GPT, BERT, LLaMA, etc.) for domain-specific tasks.
• Develop solutions for text classification, summarization, embeddings, RAG, and conversational AI.
• Ensure model scalability, robustness, and low-latency performance in production environments.
• Collaborate with data engineers to prepare and optimize large-scale datasets.
• Implement MLOps practices (CI/CD, monitoring, retraining, governance).
• Participate in code reviews, documentation, and technical knowledge sharing.

• 5+ years of experience in machine learning, with at least 3+ years focused on deep learning/NLP.
• Strong expertise in PyTorch or TensorFlow, and NLP frameworks (Hugging Face, spaCy, NLTK).
• Hands-on experience with LLMs (GPT, T5, LLaMA, Falcon, etc.), fine-tuning and prompt engineering.
• Proficiency in Python and libraries (NumPy, Pandas, Scikit-learn).
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML).
• Strong understanding of transformer architectures, embeddings, and attention mechanisms.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML deployment.
• Excellent problem-solving and debugging skills.

• Experience with vector databases (Pinecone, Weaviate, Milvus) for semantic search.
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Exposure to multimodal ML (text + image/audio/video).
• Contributions to open-source ML/NLP projects.
• Advanced degree (MSc/PhD) in Computer Science, AI, or related field.
• Industry background in fintech, healthcare, telecom, or e-commerce.