51 to 56 of 56 Machine Learning Jobs in the East of England

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Hatfield (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

.NET Developer - Chelmsford (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client ...

.NET Developer, .NET 10.0 - Social Networking Site - Bishop's Stortford (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

.NET Developer - Europe's Largest Radio Station Group - Cheshunt (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

This role is for a hands-on Python engineer who enjoys building systems and tools that ML researchers rely on to run experiments at scale. No people management. No product features. Pure engineering. What's in it for you £98k-£110k PAYE (inside IR35) 12-month contract + potential extension … Fully on-site in Cambridge (hardware-heavy environment) Work closely with ML researchers and infra teams What you'll do Build and improve Python-based ML tooling and pipelines Support and scale distributed compute workflows Fix, optimise, and own internal systems used daily by ML teams What we're looking ...

core business, we are scaling a consumer social/film-based platform with meaningful early traction. The technical challenges span video, storage, distribution, ML workloads, and reliability at scale. We’re now looking for a DevOps/Platform Engineer to take ownership of our infrastructure and production platform … keeping operational quality high. Our platform today runs on distributed systems with object storage, CDN-first delivery, high-throughput video pipelines, and GPU-backed ML workloads. We operate a hybrid environment across on-site and off-site infrastructure. Kubernetes is not yet fully rolled out in production ...