176 to 200 of 261 Reinforcement Learning Jobs in the UK

millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Example Projects: Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector ...

enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT ...

enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT ...

breakthrough technology of personalised medicine. Since the beginning, our proprietary insight has always been that the company to create a true active learning data engine with a loss function against human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world … possible stakes, you belong at Anima. Your work here will save lives. - Shun Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving ...

recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image … interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence. Editing - Research in iterative music generation and audio editing, including capabilities such … Engineering, or a related field. Previous industry experience is helpful. You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. You have deep expertise in at least ...

challenging projects across Defence, National Security and other technically complex environments.This is an opportunity to work across areas including LLMs, NLP, Computer Vision and Reinforcement Learning, depending on your experience.What you'll be doingResearching and evaluating state-of-the-art AI/ML techniques.Adapting academic research and existing … experimenting with new technologies and solving problems where the solution isn't immediately obvious.Experience in one or more of LLMs, NLP, Computer Vision or Reinforcement Learning.Defence or National Security experience is advantageous but not essential. We're equally interested in candidates from other technically demanding environments with strong applied ...

leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting … Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‐modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment ...

recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability.The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video … publication in relevant journals and conferences is highly advantageous.Why BAE SystemsHere you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence and be empowered to be your best. ...

Science or a closely related field with a focus on optimisationStrong foundation in mathematical optimisation or mathematical programmingSolid knowledge of probability & statisticsSolid knowledge of Reinforcement Learning and Casual InferenceExcellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)Nice To HaveExposure to dynamic pricing, auction ...

partnership teams to turn new signals into measurable model improvements What We’re Looking For Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience Deep technical understanding of LLM training and evaluation, with hands‐on experience in areas such as evaluation … design, data curation, reinforcement learning, or reward design Strong software engineering skills and experience building automated data/evaluation pipelines or large‐scale ML systems A track record of owning high‐impact projects end to end, navigating ambiguity, and adapting quickly as priorities change A highly collaborative, action ...

public or partner-facing activities.**What we need to see:*** B.S. degree or equivalent experience; an advanced degree in computer science, electrical engineering, machine learning, or a related research or technical field is preferred.* 8+ years of experience in AI research, AI infrastructure, distributed systems, GPU computing, technical product … NVentures, and executive teams.**Ways to stand out from the crowd:*** Hands-on experience with large language models, multimodal models, diffusion or video models, reinforcement learning, agents, world models, robotics, or other frontier workloads.* Experience working below the framework layer with CUDA kernels, communication libraries, compilers, memory movement ...

from existing datasets/literature and creating novel datasets from scratch. Methods : Research and implement strategies for improving judge performance through hybridization, such as learning-to-defer, human assistance, or other mechanisms. Infrastructure : Build the tools required to enable and scale our research agenda, including large-scale inference/… higher in Computer Science, Mathematics, or a related field or equivalent experience. Proficiency coding in Python or similar languages, as well as machine learning and analysis tooling (e.g., JAX, PyTorch, Pandas). Experience working with large language models, human-in-the-loop data annotation systems, or AI evaluation frameworks. ...

Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with diverse teams to deploy ...

advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.Our name comes from the belief that there … engineers to scale foundational models that will transform the biopharmaceutical world as we know it. You will draw upon your existing engineering experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered model and systems performance optimizations, as well as machine learning ...

Mapping) Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership ...

enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT ...

enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … model that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs.As a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that can simulate complex, diverse ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs. As a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that can simulate complex, diverse ...

Good Markets is building advanced algorithmic trading systems across FX and crypto, combining dynamic hedging, multi-agent grid logic, machine-learning techniques, and high-frequency data insights. We’re expanding the research team with exceptional talent who want to push the boundaries of systematic trading and simulation at scale. … data Experience designing or evaluating algos, simulations, or optimisation routines Understanding of statistics, stochastic processes, PDEs, or signal processing Curiosity about agent-based modelling, reinforcement learning, or market regimes Why Join Us Work directly with founders on real trading systems deployed in live markets Zero bureaucracy, we build ...

novel model architectures and iterate rapidly toward measurable outcomes Solid experience with automated training pipelines, training orchestration, and scalable model evaluation Practical experience applying reinforcement learning in real product or research settings Excellent Python skills and strong software engineering fundamentals for building reliable, maintainable AI systems Strong communication ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … real world and eager to get direct with foundation model training. In this role, you will have experience with robot policy training using imitation learning and related techniques, alongside experience navigating the realities of pre-training. You should be enthusiastic about—and experience with—practical considerations such as data ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … real world and eager to get direct with foundation model training. In this role, you will have experience with robot policy training using imitation learning and related techniques, alongside experience navigating the realities of pre-training. You should be enthusiastic about—and experience with—practical considerations such as data ...

integrations; oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AI architectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF); lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, and performant solutions. Team Management … Manage and mentor engineering managers, leads, and developers, fostering a culture of excellence and continuous learning; ensure the team adheres to best practices in coding, architecture, testing, and deployment. Project Delivery & Client Satisfaction: Ensure client projects meet deadlines, scope, and quality standards while managing resources effectively; resolve technical challenges ...