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Data Scientist: AI Engineer
Build and deploy scalable ML systems, productionize models, and maintain MLOps pipelines using Python, TensorFlow/PyTorch, and cloud tools.
GCP Data & AI/MLOps Engineer
Build and maintain GCP data pipelines and AI/ML solutions using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Senior MLOps Engineer — Data Platform (Barcelona)
Senior MLOps Engineer builds and maintains the ML platform using Databricks, MLflow, and Unity Catalog to streamline workflows and integrate with inference layers.
Lead Data Engineer - Barcelona
Lead a Barcelona-based data engineering team building a next-gen clinical data platform on Databricks/dbt/GCP, while aligning with Austin and driving AI-first engineering practices in a regulated healthcare setting.
Data Engineer - Data Products
Build and maintain scalable data pipelines and ML inference systems to turn predictions into reliable, production-ready data products using Python, Spark, Databricks, and Azure DevOps.
Junior AI & Data Engineer
A junior AI & Data Engineer role focused on learning data engineering, ML fundamentals, and ETL pipelines under mentorship, working on Python/SQL-based projects for AI/ML initiatives.
Principal Data Scientist / Principal ML Consultant
Lead end-to-end ML projects, from modeling to production deployment on AWS, while mentoring teams and advising stakeholders.
Founding DevOps Engineer for AI Platform (Bologna)
Build and own the cloud infrastructure and MLOps pipelines for an AI platform that analyzes vehicle damages and crash dynamics using AWS/GCP and GPU-ready workflows.
Senior Data Engineer
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Data Scientist
MLOps Engineer builds, deploys, and monitors ML models using Stratio, Python, Docker, Kubernetes, and cloud platforms, ensuring production reliability and performance.
Machine Learning Engineer | Python | AWS | SageMaker | PySpark | SQL | Sector Bancario
Build, train, and deploy ML models end-to-end for a major bank using Python, PySpark, SQL, and AWS SageMaker on cloud infrastructure.
Python Machine Learning Engineer (Hybrid - Madrid)
Build and deploy enterprise-grade AI solutions using LLMs, RAG, and AI agents, optimizing models and workflows in Python with TensorFlow/PyTorch.
Principal Data Scientist / Principal ML Consultant
Lead the end-to-end delivery of a machine learning program, building and deploying production-grade predictive models on AWS using AutoML and MLOps practices.
Lead Data Scientist
Lead the design and deployment of enterprise-grade AI systems, including LLMs and RAG pipelines, using Python and cloud-agnostic MLOps across AWS, Azure, and GCP.
Artificial Intelligence Engineering Manager
AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior…
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power AI-driven risk and compliance models for a fintech company in Limerick.
Director & Principal Engineer, AI/ML & MLOps Platform
Lead a team to design and build scalable AI/ML and MLOps platforms for credit decisioning and risk management, using Python, Spark, Kafka, and cloud tools like AWS/Azure.
ML Platform Engineer – Google Cloud (GCP) and Vertex AI
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
Machine Learning/Operations Research Platform Engineer
Build and deploy ML/optimization models in C++/Python to power Kinaxis’s AI-driven supply-chain planning platform, ensuring scalability and correctness for global customers.
Lead Data Engineer
Lead a team to build and maintain scalable data pipelines, feature stores, and MLOps workflows for AI-driven credit underwriting at a major bank, using Python, PySpark, and cloud platforms.