4 of 4 Edge AI Jobs in London

110k 💰 London, Hybrid Why is this exciting? Because this sits at the convergence of several areas that are becoming increasingly important: Reinforcement Learning Physical AI Digital Twins & Simulation Federated Learning Edge AI Critical Infrastructure Sustainability Most AI companies are building tools that generate content. This team … building AI that makes decisions in the real world. Backed by fresh funding and entering a major growth phase, they're developing a new generation of AI systems capable of learning, adapting and optimising complex physical environments. Their first challenge? Reducing the energy consumption of data centres through ...

mission to solve the global waste crisis by introducing transparency and automation to a traditionally opaque sector. As the pioneer of AI-powered waste intelligence, our technology processes billions of waste objects, turning trash into actionable data. Through our hardware-enabled SaaS model—comprising the Greyparrot Analyzer (IoT computer … strategy, and execution of Greyparrot’s dual-pronged product ecosystem. Your work will bridge the gap between sophisticated hardware deployment and deep, data‐driven AI software platforms. This is a pivotal executive role for a platform thinker. Greyparrot operates across two distinct buyer markets—recycling facility operators ...

fundamentals Experience owning projects end to end, not just modelling in isolation Comfortable building custom data pipelines from raw, messy, real-world data Edge inference or efficient model deployment experience is a genuine plus The role London office, in-person, early-stage team. Suits someone who wants hard technical ...

seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone who combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment … challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer vision and machine learning solutions Design, train and optimise deep learning models using PyTorch Improve model performance, efficiency and scalability Develop ...