> Markdown version of [/jobs/ext/1999687-machine-learning-engineer-39-000-55-000-a-year](https://www.wearedevelopers.com/jobs/ext/1999687-machine-learning-engineer-39-000-55-000-a-year). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - €39.000 - €55.000 A Year - **Company:** Cabify - **Location:** Madrid, Spain (Remote available) - **Salary:** €39,000.0 - €55,000.0 - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Cloud Computing, Machine Learning, Tensorflow, Azure Machine Learning, Pytorch, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker, Programming Languages - **Published:** August 9, 2026 - **Apply:** https://www.buscojobs.com.es/machine-learning-engineer-%E2%82%AC-39-000-%E2%82%AC-55-000-a-year-en-madrid-ID-365753181 ## About the Role Cabify Madrid, Community of Madrid, SpainAbout the PositionWe are seeking a passionate and skilled Machine Learning Engineer to join our forward?thinking team.As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings., growing.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.2+ years of experience in machine learning or a related field, not focused in the science layer, more on the technical one.Proficiency in programming languages such as Python.Experience with machine learning frameworks and libraries (e.G., MLflow mainly if possible, but can be TensorFlow, PyTorch). Familiarity with cloud platforms (e.G., AWS, GCP) and containerisation technologies (e.G., Docker, Kubernetes). Strong problem?solving skills and the ability to work collaboratively in a team environment.Excellent communication skills, with the ability to explain complex technical concepts to non?technical stakeholders.What We OfferExcellent Salary conditions: 39K - 55KA collaborative and innovative environment where your contributions make a real impactOpportunities to work on cutting?edge projects and advance your career in machine learningContinuous learning and development opportunities to enhance your expertise in machine learning? Recharge days! ## Description Cabify Madrid, Community of Madrid, SpainAbout the PositionWe are seeking a passionate and skilled Machine Learning Engineer to join our forward?thinking team.As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings.You will work closely with data scientists, data engineers, and software developers to integrate machine learning solutions into our existing systems.Key ResponsibilitiesModel Development: Collaborate with data scientists to design and implement models that address business and product needs.Model Deployment: Develop and maintain infrastructure for deploying models into production, ensuring scalability and reliability.Data Processing: Work with data engineers to ensure data is clean, well?structured, and accessible for model training and evaluation.Performance Optimization: Continuously monitor and optimize model performance, implementing improvements as necessary.Collaboration: Work closely with cross?functional teams to integrate machine learning solutions into products and services.Innovation: Stay up?to?date with the latest advancements in machine learning and apply them to improve our solutions.Evolution: Learn about our ML Platform and help the team to keep improving and growing.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.2+ years of experience in machine learning or a related field, not focused in the science layer, more on the technical one.Proficiency in programming languages such as Python.Experience with machine learning frameworks and libraries (e.G., MLflow mainly if possible, but can be TensorFlow, PyTorch).Familiarity with cloud platforms (e.G., AWS, GCP) and containerisation technologies (e.G., Docker, Kubernetes).Strong problem?solving skills and the ability to work collaboratively in a team environment.Excellent communication skills, with the ability to explain complex technical concepts to non?technical stakeholders.What We OfferExcellent Salary conditions: 39K - 55KA collaborative and innovative environment where your contributions make a real impactOpportunities to work on cutting?edge projects and advance your career in machine learningContinuous learning and development opportunities to enhance your expertise in machine learning? Recharge days!(10 Free Fridays annually)Our office is located in Madrid? Flexible work environment & hours? 3 weeks full remote six?monthlyRegular team eventsCabify staff free ridesPersonal development programs based on our career pathsCoursera: your own license in Coursera to take as many courses as you wish and continue developing your skillsReferrals increase your chances of interviewing at Cabify by 2x.Join us!At Cabify, diversity fuels our Product & Engineering teams.We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like Women Tech Dating, Contrata Diferente and our Internal Diversity Committee.Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished.Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.#J-*****-Ljbffr ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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