3 Reinforcement Learning Jobs in London with Remote Work Options

researchers from various disciplines. Responsibilities : Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones. Model Training and Integration : Train and integrate … machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains. Engineering : Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and … positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with more »

researchers from various disciplines. Responsibilities : Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones. Model Training and Integration : Train and integrate … machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains. Engineering : Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and … positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with more »

product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. … development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world more »