1 to 6 of 6 Permanent Machine Learning Jobs in Lancashire

Compiler team is searching for compiler-skilled engineering talent to support the development and scaling of a compiler to enable the world's largest ML workloads to run performantly on these custom Annapurna systems. The Product: The AWS Machine Learning accelerators represent a pinnacle of AWS technologies, specifically … designed for advancing AI capabilities. The Inferentia/Trainium chips specifically offer unparalleled ML inference and training performances. They are enabled through state-of-the-art software stack - the AWS Neuron Software Development Kit (SDK). This SDK comprises an ML compiler, runtime, and application framework, which seamlessly integrate into … popular ML frameworks like PyTorch. AWS Neuron, running on Inferentia and Trainium, is trusted and used by leading customers such as Snap, Autodesk, and Amazon Alexa. The Team: Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company more »

Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the ML Applications - Multi-modal team, you will be responsible for leading a strong team of engineers to help design and deploy ML applications/usecases on … support for the multi-modal models such as MM-GPT, CLIP, BLIP2 etc. Develop reliability/scalability features and performance optimizations in the Neuron ML Framework components to enable them make Trainium and Inferentia devices as the first-class citizens for ML Acceleration. Lead the way to ensure support for … key ML functionality in a combined chip/software platform. Ensure the right thing is being built and delivered to customers A successful candidate will have an established background in optimizing Machine Learning framework components along-with a strong technical ability to work/deliver on a vertically more »

help to inform the business and work with the Performance Insights Lead to develop the BI dashboards and visualisation tools. - Investigate and implement relevant machine learning and AI tools to identify previously unknown insights and trends - Automate reporting and reduce the reliance on Excel based outputs - Build a …/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to use the data to make more »

high availability, performance and scalability. This is a huge impact role to redefine how we predict customers (Database developers) ever changing needs and create learning mechanism that would feed into our heat and placement algorithms. You would help lead and solve for lowering costs for customer and help bring … in the way that customers experience databases. To learn more about Amazon Aurora Serverless visit: Key job responsibilities Design and build next generation predictive ML based solutions for Aurora Serverless. Mentor junior engineers and collaborate with engineers from other teams About the team Aurora is one of the fastest growing … computer science or equivalent - 2+ years experience with building scalable distributed systems using AWS or other cloud technologies - 2+ years of building large-scale machine-learning services PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing more »

As a Senior AI Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision... more »

Are you skilled in computer vision and machine learning? My client is seeking a motivated individual to join their innovative team, focusing on developing advanced models to address significant challenges in a specialized field. Key responsibilities: Develop and enhance models using a vast labelled dataset. Implement and refine more »