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Estamos incorporando un/a MLOps Engineer para un proyecto de larga duración, con inicio inmediato y posibilidad de continuidad. Buscamos perfiles con: Disponibilidad: Inmediata Experiencia: +3 años en MLOps, Machine…
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We are looking for a highly autonomous AI/ML Engineer to design, build, deploy, and operate end-to-end AI/ML and…
Build and maintain data pipelines and models using Databricks, PySpark, Python and SQL to deliver business insights and KPIs for data-driven decision making.
Lead AI Engineer at KPMG UK drives AI-driven audit solutions, collaborating with cross-functional teams to build scalable ML systems (e.g., generative AI, NLP) on Azure/Databricks for enterprise-grade workflows.
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
Senior MLOps Engineer builds and maintains the ML platform using Databricks, MLflow, and Unity Catalog to streamline workflows and integrate with inference layers.
Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks. We are looking for an Enterprise Sales Director to lead our growing Public Sector…
About Flinks Flinks is the embedded finance platform that brings together connectivity, intelligence, and payments — giving businesses the infrastructure they need to build and deliver seamless financial experiences at…
Builds and deploys forecasting models (sales, returns, inventory) for retail using Python, SQL, Databricks, and MLflow, with a focus on model interpretability (SHAP/LIME) and end-to-end ML pipelines.
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Build and validate ML models for time-series forecasting and analytics, collaborating with engineers to ship production-ready AI solutions.
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
Builds and optimizes scalable data pipelines for a European customer loyalty app (130M users), handling massive customer/transaction data to enable segmentation, personalized campaigns, and AI-driven marketing analytics. Core tech: Python, SQL, Databricks, Airflow, Spark, Kafka, Kubernetes, and relational/non-relational databases.
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
Build and maintain scalable data pipelines, cloud data platforms, and analytics-ready datasets for a global food-industry project using ETL/ELT, Snowflake/Azure/AWS, and BI tools.
P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Owns the full ML lifecycle for physical AI, from sensor data pipelines to deploying optimized models on constrained hardware, collaborating with embedded teams to ensure reliability and performance in real-world devices.
Senior AI & Data Science Architect designing and deploying scalable, secure AI solutions for a leading bank, leading modernization and MLOps initiatives.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
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