4 of 4 Permanent Low Latency Jobs in Edinburgh

unit buildings, optimal polygonal geofence guardrails, and multiple delivery locations with business and transportation mode awareness. The technical domain is multi-faceted. We build low-latency, highly-available services, we build big data processing pipelines to refresh or produce new data, we train ML models, and we run … large-scale systems and services in support of our transportation operations and the businesses they support. Participate in the definition of secure, scalable, and low-latency services and efficient physical processes. Work in expert cross-functional teams delivering on demanding projects. Functionally decompose complex problems into simple, straight … with engineering and science teams on building state-of-the-art scalable, big data pipelines, ML training and inference solutions, high-availability services with low latencies. - Analyze nuanced metrics to understand system behavior and innovate on solutions to optimize our success metrics. - Play a key role in the technology More ❯

and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value … engineers to integrate successful experimental results into large-scale, highly complex Amazon production systems capable of handling 100,000s of transactions per second at low latency. Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment. BASIC QUALIFICATIONS More ❯

design and implementation of highly available, scalable and fault-tolerant systems at scale. You will leverage technologies and real-time analytics and high volume, low latency, high availability services. You will own the delivery of technical changes from a strong roadmap of projects, ranging from developing new self More ❯

Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated compute (GPU, TPU, Inferencia) for research and deployment. Experience … efficiently training and fine-tuning of deep learning models. Bonus Deployment of enterprise quality model endpoints for high throughput and low latency. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you More ❯