Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Estamos em busca de um(a) MLOps Engineer para atuar em projetos estratégicos em clientes de grande porte. Se você gosta de construir pipelines robustos, automatizar o ciclo de vida de modelos de Machine Learning e…
Designs data schemas, ontologies, and lakehouse architectures to make AI-native drug discovery possible, transforming raw scientific data into FAIR-compliant, machine-actionable assets for both scientists and AI agents.
Build and deploy AI-driven cybersecurity automation tools, including agents and RAG systems, on cloud platforms to detect and respond to threats for a global financial firm.
Designs and builds scalable data pipelines and warehouses on Azure using PySpark, Delta Lake, and Databricks to support automotive software platforms.
Designs, builds, and maintains scalable data pipelines on Azure using Databricks, PySpark, and Delta Lake to support business analytics and reporting.
Designs, builds, and maintains scalable data pipelines on Azure using Databricks, PySpark, and Delta Lake to support analytics and business needs.
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Data Architect Location: Hybrid (UK) Salary: £80,000 We're partnering with a highly successful, private equity-backed organisation that is embarking on a major data transformation journey. The business has…
Designs and governs a modern enterprise data platform using Microsoft Fabric, Databricks, and Azure, enabling scalable analytics, AI, and reporting for a private equity-backed company.
Build and maintain scalable data pipelines for automotive operations, transforming raw data into trusted, reusable foundations for analytics and AI across manufacturing, procurement, and supply chain.
Build and maintain Databricks pipelines that fuse ERP and CRM data into real-time, AI-driven revenue insights for mid-market enterprises, ensuring reliability, cost efficiency, and global scale.
Build and maintain scalable data pipelines that power analytics and AI for automotive operations, translating business needs into robust, reusable data infrastructure.
Lead a team to architect and scale Citi’s enterprise data platforms, building high-performance pipelines and feature stores that power AI, machine learning, and real-time analytics across the bank.
Principal Data Architect designs and leads enterprise-scale cloud data platforms (Databricks, AWS, Azure) to enable AI, analytics, and healthcare data solutions at a global medical technology company.
Designs and maintains scalable data pipelines for IoT and operational data using Spark, Delta Lake, and cloud technologies to enable analytics and reporting in the oilfield services industry.
Senior Data Engineer builds and maintains cloud-based data pipelines and governance systems using Databricks, Azure, and Delta Lake to support construction-materials analytics and reporting.
Build and optimize scalable data pipelines using Databricks, Azure Data Factory, and PySpark to power real-time analytics and reporting.
Owns data-lakehouse product features from research to launch, bridging engineering and customer needs to build a managed Apache Hudi service for real-time analytics and AI/ML.
Design and build secure, scalable Databricks-based data pipelines and lakehouse architectures for a Department of War modernization project, using Spark, Delta Lake, and governance tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.