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Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
Principal AI Engineer designs and deploys cutting-edge AI systems for enterprises, leveraging language models, agent frameworks, and cloud AI ecosystems to transform business processes.
Senior Data Scientist at Jet2.com builds and deploys ML models on AWS to optimize pricing, marketing, and operations across flights and holidays.
Lead a team of data scientists to build and deploy ML models that optimize Jet2’s travel business, using Python, SQL, and cloud tools like AWS SageMaker.
Lead AI/ML projects for Pearson’s learning products, building RAG systems and OCR workflows, and deploying models on AWS SageMaker/Bedrock.
Lead a team of data scientists to build and deploy ML models that optimize travel operations, pricing, and customer experiences using Python, SQL, and cloud tools like AWS SageMaker.
Build and deploy AI/ML models end-to-end on AWS, packaging models as microservices and exposing them via secure APIs for production use.
L’IA chez Smile, ce n’est pas un buzzword : c’est une pratique. Des modèles et des cas d’usage ouverts, performants et durables, pensés pour passer en production — pas des PoC qui finissent au tiroir. On bâtit sur des…
Build and integrate AI/ML models (LLMs, RAG, NLP) into full-stack apps using React, Node.js, and AWS, ensuring trustworthy, scalable customer-experience assurance.
Build and maintain full-stack apps integrating AI/GenAI models into healthcare systems using Java/Spring Boot, Python, React, and cloud services like AWS/Azure.
Build large-scale predictive models and MLOps pipelines for Fortune 500 clients using Python, SQL, Snowflake, Databricks, and SageMaker.
Build and maintain SaaS web apps that embed ML and generative AI for aerospace engineers, using Python, React, AWS, and agent frameworks like LangGraph.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Build and run AI-powered, cloud-native infrastructure for game development, focusing on AIOps, observability, and secure event-driven automation using AWS CDK and DevSecOps practices.
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Designs AWS-native data and AI architectures, MLOps pipelines, and governance standards to modernize analytics and AI solutions for a large Canadian insurer.
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
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