1 to 5 of 5 Permanent Machine Learning Jobs in Hertfordshire

Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machine learning (ML) engineers to deploy ML models on Azure. What’s in it For You? Amazing company to work for! Hybrid working. Great culture and environment. For more »

office) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »

using Python, C, C++, Java, or any programming language Excellent at solving complex problems Solid coding and debugging experience Any knowledge or background in machine-learning would be a bonus, due to upcoming projects Responsibilities for Graduate Software Engineer/Developer – Python/C/C++/Java more »

and accessibility of data to support analytics, business intelligence, and operational needs across the organisation. The client has plans to invest in Data Science, ML and Advanced Analytics in the future, therefore expect the role to eventually own an ML Ops capability. We are looking for: Proven experience in a more »

ongoing development of graphics applications with an understanding of how standard graphics APIs map to Imagination products.Spearhead the software architecture of new AI/ML capabilities for future generations of GPU and CPU platforms.Own the technical software architecture for compute applications and their mapping to underlying hardware.Evolve and develop the … and profilers.Knowledge of accelerated computing software architecture for GPUs and other hardware accelerator architectures and the associated software ecosystems for applications.Experience with AI/ML applications and there mapping to GPU/hardware accelerator platforms and the associated software ecosystems for applicationsUnderstanding of graphics application APIs and the software ecosystems … that support them across both desktop and mobile platforms.A technical background in AI/ML software infrastructure across data centre, automotive and embedded devices, with particular focus on inference application deployment and optimization.A technical background in system level software for interfacing hardware such as GPUs to CPU platforms covering drivers more »