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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Visium SA - **Location:** Barcelona, Spain (Remote available) - **Salary:** €25,000.0 - €60,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Software as a Service, Cloud Computing, Python (Programming Language), Machine Learning, MongoDB, Open Source Technology, Svelte, Tensorflow, Software Deployment, TypeScript, Pytorch, Deep Learning, Containerization, Scikit Learn, Kubernetes, Machine Learning Operations, Front End Software Development, Docker, Programming Languages - **Published:** July 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role Requirements:Strong experience with ML frameworks, preferably PyTorch, and ML libraries such as Transformers, Diffusers, Accelerate, and Datasets.Proficiency with cloud platforms such as AWS, Azure, or GCP, including services like SageMaker, EC2, S3, or equivalents.Experience building MLOps pipelines for model deployment, monitoring, and containerization.Familiarity with programming and scripting languages such as Python; knowledge of Typescript, Rust, or MongoDB is a plus.Ability to write clear, reproducible documentation and examples to support development and adoption.Experience across the full ML product lifecycle, from research and prototyping to production deployment and monitoring.Strong problem-solving, collaboration, and communication skills in a distributed team environment.Preferred / Bonus Skills:Experience with front-end frameworks or styling libraries such as Svelte and TailwindCSS.Exposure to open-source ML communities and contributions.Understanding of XLA, hardware ## Description Inscribirse en esta oferta This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Machine Learning Engineer in Spain.The Cloud Machine Learning Engineer will design, build, and deploy scalable machine learning solutions leveraging cloud technologies. This role bridges advanced ML frameworks with cloud platforms to deliver performant, secure, and user-friendly APIs and developer experiences. You will collaborate with cross-functional teams to ensure models are optimized, integrated, and documented effectively for a global user base. The position requires hands-on experience in deep learning frameworks, cloud infrastructure, and MLOps practices, with a focus on efficiency, reproducibility, and developer usability. The ideal candidate thrives in a distributed, innovation-driven environment, enjoys sharing knowledge with the community, and contributes to solutions that impact millions of users worldwide. You will also have the opportunity to influence best practices, technical standards, and cloud ML architecture at scale.Accountabilities: + Integrate machine learning models with cloud platforms and managed SaaS solutions to deliver robust production systems. + Ensure deployed ML models meet performance, reliability, and scalability requirements. + Design, develop, and maintain secure and user-friendly developer APIs and interfaces. + Build and optimize MLOps pipelines, including containerization with Docker and orchestration with Kubernetes where applicable. + Write technical documentation, tutorials, and examples to support internal teams and external users. + Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to align development efforts with strategic goals. + Advocate and share technical solutions and achievements with internal stakeholders and the broader developer community. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Svelte ♥ TypeScript and so will you](https://www.wearedevelopers.com/videos/493-svelte-typescript-and-so-will-you) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [On tour with heroes == Moving from Angular to WebComponents](https://www.wearedevelopers.com/videos/63-on-tour-with-heroes-moving-from-angular-to-webcomponents) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)