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Builds and deploys ML models in Python (scikit-learn, PyTorch) to solve industrial problems, then monitors and troubleshoots them in production.
Builds and improves machine-learning models for football analytics, using Python, SQL, and advanced stats to deliver insights for fans, bettors, clubs, and scouts.
Build and deploy ML models in Python to solve business problems, working with stakeholders to productionise scalable analytics solutions.
Lead a data-science team to define Handelsbanken’s AI and analytics roadmap, build ML models with Python/SQL, and deploy them via MLOps while meeting banking regulations.
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Build and ship ML and generative-AI systems that power decisions across Delivery Hero’s platform, from recommendation engines to LLM-driven automation, owning the full lifecycle from modeling to production.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
Build and ship ML systems that autonomously optimize ad spend for retail-media advertisers using Python, GCP, and reinforcement learning alongside emerging LLM-based planning layers.
Build and scale ML systems for search, recommendations, and LLM-powered assistants that help teachers plan lessons and personalize learning in K–12 education.
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
Builds AI-powered prototypes in 4-week cycles to solve pharma supply-chain and manufacturing problems, then hands them off for production. Uses Python, ML, LLMs, and low-code tools to deliver data-driven solutions.
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
Validate quantitative financial models (Treasury, Fair Lending, Credit Risk) using Python/SAS, statistical modeling, and machine learning; write reports and present findings to management.
Build and improve AI-driven forecasting models and data pipelines to optimize Australia Post’s national logistics network, translating analytics into operational decisions.
Build analytics tools and dashboards on Palantir Foundry to turn supply-chain data into faster decisions; start with guided tasks and grow into full solutions while embedded with business teams.
Build and deploy production-grade AI and Generative AI solutions for clients, using Python, cloud platforms, and MLOps practices to drive measurable business value.
Job Title: Machine Learning Research Engineer - Central Technology Requisition ID: R027933 Job Description: Your Mission The Machine Learning Research Engineer will detect, prevent, and respond to cheating in…
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