8 of 8 Federated Learning Jobs in the UK

in top ML conferences (e.g. ICML, ICCV, SysML or similar) Contribution to open source ML frameworks such as –TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real-time and/or embedded software development in C++ (on More ❯

Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar)Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real-time and/or embedded software development in C++ (on More ❯

in top ML conferences (e.g. ICML, ICCV, SysML or similar) Contribution to open source ML frameworks such as –TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real-time and/or embedded software development in C++ (on More ❯

in top ML conferences (e.g. ICML, ICCV, SysML or similar)Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learningKnowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real-time and/or embedded software development in C++ (on embedded Linux More ❯

company is looking for an AI Researcher/Embedded AI Engineer to develop and deploy AI-powered audio enhancement solutions on edge devices. This role focuses on optimising deep learning models for real-time performance in resource-constrained environments. Responsibilities: Develop AI models to improve audio quality on embedded systems. Optimise model size, latency, and efficiency for on-device … embedded development. Strong communication and collaboration skills, with experience planning technical work. Nice to Have: Research publications or open-source contributions in ML/AI. Experience with knowledge distillation, federated learning, or model compression. Familiarity with embedded Linux, multi-threaded programming, and CI tools. If you’re an AI Researcher/Embedded AI Engineer or hold the relevant More ❯

problem solving Desirable: Publications in leading ML conferences (e.g., ICML, ICCV, SysML) Open-source contributions to ML frameworks (e.g., TensorFlow, TensorFlow Lite) Experience with knowledge distillation, computer vision, or federated learning Familiarity with Linux, shell scripting, and multi-threaded embedded software development If you are an AI Researched with an interest in digital technology give me a shout More ❯

Federated Learning Researcher Paid Interview - (AI/ML) Location: Remote (Global Applicants Welcome) Project Focus: We are seeking an experienced researcher or expert in Federated Learning/Decentralized AI, as well as an entrepreneur or expert, to participate in a paid call with you. The objective of the call is to learn about the socio-technical … challenges and opportunities in federated learning, federated learning contribution mechanisms, and federated reinforcement learning. The job involves participating in a 45-minute Zoom call and completing a follow-up questionnaire to assist with my qualitative research. Requirements: PHD or Master's degree or higher in AI, ML, Computer Science, or related quantitative field. Strong expertise … in Reinforcement Learning (RL) and Deep Learning. Demonstrable experience with Federated Reinforcement Learning (FRL). Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow). Experience with Federated Learning (FL) frameworks (e.g., Flower) is a significant advantage. Excellent, clear English communication skills (written and verbal). Extra plus: have worked in an FL startup More ❯

NICE TO HAVES Experience in workplace tech, scheduling optimisation, or geospatial data. Publications, patents, or open source contributions in applied ML or LLMs. Familiarity with privacy preserving ML techniques (federated learning, differential privacy). OUR TECH STACK Backend: PHP 8.2/Symfony 7, REST, API Platform, NodeJS, Python, Rust. Frontend: TypeScript, Angular 19. Mobile: Android (Kotlin), iOS (Swift More ❯