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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.
Build and deploy scalable ML systems, productionize models, and maintain MLOps pipelines using Python, TensorFlow/PyTorch, and cloud tools.
Build and maintain GCP data pipelines and AI/ML solutions using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Senior MLOps Engineer builds and maintains the ML platform using Databricks, MLflow, and Unity Catalog to streamline workflows and integrate with inference layers.
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.
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.
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.
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.
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Build, train, and deploy ML models end-to-end for a major bank using Python, PySpark, SQL, and AWS SageMaker on cloud infrastructure.
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.
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…
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
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.
Build and maintain scalable data pipelines and AI/ML systems, focusing on NLP, LLMs, and generative AI to support data-driven decisions and model evaluation.
Builds and maintains secure, scalable data platforms and MLOps pipelines for AI/ML workflows in a global financial-services firm.
Build and maintain scalable data pipelines, AI/ML Ops workflows, and cloud-native data platforms for a global financial firm, using Python, Java, Airflow, Snowflake, and React.
Company Overview Established in 2010, Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Serving global clients across IoT, blockchain, fintech, and ecommerce,…
Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
Leads data-architecture projects for banks and insurers, building cloud-native data platforms, pipelines, and governance while managing teams and advising clients on data modernization and MLOps.
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