76 to 92 of 92 Reinforcement Learning Jobs in the UK

similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads ...

similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads ...

similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads ...

internal research papers, technical memos, and (where appropriate) external publications. Who You Are Currently completing or recently completed a PhD in Physics, Mathematics, Machine Learning, Computer Science, or a related field from a top university. Strong publication record at leading venues such as NeurIPS, ICML, ICLR, ACL, CVPR, ICCV … EMNLP. Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.). Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow). Ability to bridge high-level research with practical implementation. Curious, humble, and excited ...

internal research papers, technical memos, and (where appropriate) external publications. Who You Are Currently completing or recently completed a PhD in Physics, Mathematics, Machine Learning, Computer Science, or a related field from a top university. Strong publication record at leading venues such as NeurIPS, ICML, ICLR, ACL, CVPR, ICCV … EMNLP. Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.). Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow). Ability to bridge high-level research with practical implementation. Curious, humble, and excited ...

heart of their technology. This is a hands-on engineering role focused on scale, performance, and reliability. You will work across the full machine learning lifecycle, from distributed training pipelines to highly optimised inference systems deployed into production robotics environments. The Role You will join a highly technical team … working at the intersection of software engineering, machine learning infrastructure, and robotics. Your focus will be on turning cutting-edge models into robust, production-ready systems that run efficiently across cloud and constrained hardware environments. You will collaborate closely with researchers and ML engineers, help shape architectural decisions ...

English to intermediate and advanced learners. We're on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting … models to production, to own the ML team in our growing company. What you will do Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal 'next task' Work with a vast amount of unique data - we have data from over 1M language ...

English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting … models to production, to own the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language ...

Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement and retraining. Ensure compliance with ...

English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting … models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense ...

from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities Scale Agentic Architectures: Advance existing workflows into multi-agent systems ...

from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities Scale Agentic Architectures: Advance existing workflows into multi-agent systems ...

from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities Scale Agentic Architectures: Advance existing workflows into multi-agent systems ...

from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities Scale Agentic Architectures: Advance existing workflows into multi-agent systems ...

Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement and retraining. Ensure compliance with ...

path toward deployment and commercial relevance. Initial focus areas include: Agentic AI systems Energy systems flexibility Creative industries applications Emerging work across generative AI, reinforcement learning, neuro-symbolic AI, verifiable AI, and MCP-style architectures You will work closely with academic partners, industry collaborators, and funding bodies, translating ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc.). ...