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Build, deploy, and govern AI/ML models (including Generative AI) for banking use cases like pricing and anomaly detection, working across the full lifecycle from development to monitoring.
Lead a team of AI/ML scientists to build predictive models (regression, classification, anomaly detection) for Canadian Personal Banking, including collaboration on TD AI Prism foundational models.
Build and deploy scalable ML pipelines, real-time/batch inference systems, and LLM serving stacks for a fintech personalization engine in AWS.
Lead product strategy for Etsy’s promoted recommendation experiences, using ML to match buyers with relevant listings while balancing buyer experience and business value.
Build and deploy ML pipelines in Python/Spark on AWS/GCP to automate credit risk and payment decisions for Mexican SMEs.
Build and deploy ML models for Slack’s conversational AI, ranking, and generative features, using Python, PyTorch, and Spark to drive product impact at scale.
Build and deploy AI-powered applications using cloud services and generative models, with a focus on production-grade ML pipelines and deep learning techniques.
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
Design and build AI-powered applications using LLMs, deep learning, and cloud services, deploying production-ready solutions with a focus on generative AI and neural networks.
Build and optimize ML perception models (object detection, tracking, prediction) for GM’s fallback autonomy stack using camera, lidar, and radar data to safely bring vehicles to a stop when primary autonomy fails.
Develop AI/ML models and software for semiconductor inspection and process control using Python, C++, and deep learning frameworks.
Build and deploy AI/ML systems for drug discovery and patient care, including GenAI, RAG, and agents, using Python, cloud platforms, and MLOps/LLMOps pipelines.
Lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines for UK Defence, ensuring compliance with JSP 936 standards.
Build and deploy ML and LLM applications in Python for a US healthcare data platform, focusing on production pipelines and NLP solutions on Databricks and AWS.
Build core ML capabilities for an AI-native platform powering regulated institutions, focusing on document extraction, foundation models, and agentic systems that scale across industries like construction, insurance, and finance.
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Builds and optimizes spiking neural networks for real-world machine vision tasks in a defence-focused AI product team.
Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment:…
Build cloud/edge computer-vision models for wildfire detection and environmental monitoring using PyTorch and NVIDIA Jetson, deploying AI in real-world outdoor systems.
Build real-time wildfire-detection models and edge-AI pipelines using PyTorch, TensorRT, and Jetson; deploy optimized vision systems on PTZ cameras and cloud to spot smoke, vegetation, and assets.
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