17 of 17 Federated Learning Jobs in the UK

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product … wind turbines. We are taking the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions, however … will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter More ❯

Machine Learning Software Engineer, Research Join to apply for the Machine Learning Software Engineer, Research role at PhysicsX Continue with Google Continue with Google Machine Learning Software Engineer, Research Join to apply for the Machine Learning Software Engineer, Research role at PhysicsX PhysicsX is a deep-tech company with roots in numerical physics and Formula One … Will Do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain Transform prototype model implementations to robust and optimised implementations Implement distributed training architectures (e.g., data parallelism, parameter … server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute Identify the best libraries More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models and AI solutions, leveraging cutting-edge technologies like Azure Machine Learning, AutoML … based AI tools. This role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. Develop and fine-tune models for regression, classification, clustering, and deep learning. Explore and implement state-of-the-art AI approaches such … Insights Extract actionable insights from structured and unstructured datasets to support strategic decision-making. Use predictive and prescriptive analytics to solve business challenges. Technology and Tools Utilize Azure Machine Learning and AI tools to manage model lifecycles. Leverage cloud platforms like Azure, AWS, and GCP for scalable ML model deployment. Employ frameworks like TensorFlow, PyTorch, and scikit-learn for 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 ❯

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 ❯

looking for a mission-driven Data Scientist to join our team supporting high-impact initiatives in the Defence and National Security sector. You will apply advanced analytical techniques, machine learning, and statistical modelling to solve complex operational challenges. Working within a secure, multidisciplinary environment, you'll help deliver data-driven insights to support decision-making, threat detection, intelligence analysis … and national defence strategies. Key Responsibilities Develop and deploy data models, machine learning algorithms, and statistical analyses to support defence and national security operations. Work with structured and unstructured data from diverse sources such as sensors, ISR feeds, satellite imagery, communications, cyber threat logs, and intelligence reports. Collaborate with domain experts, analysts, and engineers to understand mission needs and … clear visualisations and reports. Ensure compliance with data handling, classification, and ethical use policies in a high-security environment. Stay up to date with emerging technologies in AI, deep learning, and data analytics relevant to the defence sector. Skills and Qualifications Essential: Proven experience as a Data Scientist, ideally in defence, intelligence, law enforcement, or government. Active EDV/ 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 ❯

product design. Drive revenue through data monetisation. Identify partnerships with third-party data providers (e.g., economic indicators, weather APIs). Champion R&D into emerging tech (GenAI, graph analytics, federated learning). Stakeholder Alignment: Partner with C-suite to secure buy-in for data-driven initiatives. Engage clients in co-creation workshops to validate priorities. Represent us at More ❯

product design. - Drive revenue through data monetisation. - Identify partnerships with third-party data providers (e.g., economic indicators, weather APIs). - Champion R&D into emerging tech (GenAI, graph analytics, federated learning). 5. Stakeholder Alignment - Partner with C-suite to secure buy-in for data-driven initiatives. - Engage clients in co-creation workshops to validate priorities. - Represent us More ❯

product design. Drive revenue through data monetisation. Identify partnerships with third-party data providers (e.g., economic indicators, weather APIs). Champion R&D into emerging tech (GenAI, graph analytics, federated learning). Stakeholder Alignment Partner with C-suite to secure buy-in for data-driven initiatives. Engage clients in co-creation workshops to validate priorities. Represent the company 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 ❯

Accountabilities: Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL). Evaluate agent performance in the … company at scientific forums. Communicate technical concepts and results to technical and non-technical audiences. Essential skills/experience: Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields. Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns … reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI. Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Contributions to More ❯

effectiveness. Desirable Knowledge, Skills and Experience: Master's Degree in Data Management, Information Security, or a relevant discipline. Industry specific certification, e.g. CDMP. Experience working with cloud computing and federated learning data environments. Genomics experience. Familiarity with data interoperability standards (e.g., FHIR, OMOP). Benefits We offer the following salary and benefits: Salary: Competitive, depending on experience + 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 ❯