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An AI/ML internship focused on developing multi-agent systems, agentic coding tools, and ML models for trading infrastructure. Core work involves building agent orchestration, deploying ML models, and optimizing MLOps pipelines in a fintech environment.
Designs and maintains scalable ML infrastructure for KAYAK’s travel search engine, bridging data science and production engineering to deploy reliable, high-performance models at scale.
Build and maintain predictive models (GLM, XGBoost, Random Forest) for insurance underwriting and claims using Python and AWS SageMaker, then deploy them to production.
Designs and deploys advanced AI systems for game analytics, automation, and immersive player experiences, focusing on agentic AI, real-time systems, and scalable production pipelines.
Lead the design and deployment of scalable AI/GenAI systems at Conga, shaping the intelligence engine behind commercial operations like pricing and contracting.
Helsing is a defense AI company seeking a Staff Software Engineer to architect and build resilient, high-performance backend systems for edge hardware. The role involves leading technical design, mentoring engineers, and working primarily with Rust and Python to deploy machine learning solutions in complex environments.
The Company Glassbox's mission is to empower enterprises to shape trusted, frictionless digital experiences. Glassbox is a leading force in shaping digital experiences. It helps organizations uncover digital…
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids…
The Senior Forward Deployed Solution Engineer will work directly with customers to design, deploy, and troubleshoot complex infrastructure architectures involving Kubernetes, AI/GPU systems, and cloud-native environments. This hands-on role requires deep technical expertise in automation and systems engineering to ensure successful customer outcomes and production readiness.
The Senior Data Scientist will develop and deploy machine learning models to enhance fraud detection and prevention within the financial crimes domain. The role involves managing the end-to-end ML lifecycle, mentoring team members, and leveraging Python, SQL, and cloud-based platforms like Databricks to drive data-driven business outcomes.
Senior Quantitative Analyst designs and builds financial risk models (margin, liquidity, credit, stress testing) using Python, collaborating with stakeholders to ensure regulatory compliance and strategic alignment in a global financial institution.
The AI Engineer will embed within Rakuten business units to implement and deploy agentic LLM workflows, focusing on migrating third-party API usage to in-house models. The role involves hands-on production coding, prompt iteration, and model evaluation using Python, Java, or Go.
Researches, designs, and implements statistical, ML, and econometric models for market risk metrics like VaR and stress tests, using C++ and Python, and collaborates with engineering and product teams to deploy solutions for Bloomberg’s financial data platforms.
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative…
Job Title: MLOps Engineer Location: Leicester / Bexhill / London – Hybrid Unfortunately we are unable to offer sponsorship for this position Welcome to Hastings Direct We’re a digital insurance provider with a clear…
Leads AI and analytics product strategy for Motorola’s Avigilon platform, focusing on computer vision, LLMs, and generative AI to enhance physical security systems. Owns end-to-end product vision, technical trade-offs, and cross-functional execution for high-scale AI capabilities in cloud/edge environments.
Develops fast-running surrogate models and hybrid digital twins to enable predictive maintenance, real-time analytics, and automated design optimization for HVAC systems using physics-based simulations and machine learning.
Develops AI-powered backend services in Java/Spring Boot, integrating LLMs and MLOps pipelines for Airbus’ space system data management tools.
Designs and implements enterprise AI architecture, including GenAI (LLMs, RAG, agents) and production ML systems, ensuring scalability, integration, and governance across business functions like engineering, supply chain, and operations.
Leads AI/ML engineering for a fintech platform, designing predictive/generative AI solutions to improve financial wellbeing. Owns end-to-end AI lifecycle, mentors teams, and drives responsible AI practices at scale.
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