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, federatedlearning 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 ❯
AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar … crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover … key decisions on technology stacks, integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development. Collaborating closely with More ❯
AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar … crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover … key decisions on technology stacks, integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development. Collaborating closely with 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 (federatedlearning, 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 ❯
Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start within 1 month of accepting the role. This means unfortunately visa … particularly in vision and cognitive support Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare applications Contribute to the research on AI … driven user personalization for visually impaired individuals Develop AI-powered accessibility solutions Ensure compliance with data privacy and ethical AI guidelines Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn Strong skills in Python, experience with R or JavaScript is a plus Experience with Health data processing - HER, FHIR, Wearable sensor data Knowledge of transformer More ❯
