126 to 150 of 192 Reinforcement Learning Jobs in London

papers, product releases, open‐source contributions, or other artifacts. 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework. Experience using the latest coding agents, and opinions about optimal workflow. Enthusiasm for experimental organizational design. AI‐pilled: adopting agents, keen to build … scientific discipline. Contribution to a well‐cited work in AI for Science writ large (e.g., ML to predict protein structure, neural weather forecasting systems, reinforcement learning for materials discovery, or causal models for financial risk prediction). Hands‐on experience using AI agents to automate parts ...

existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives. Do you want to use your medical knowledge to build something awesome? Ever feel like … hype around ‘verticalized AI’ but when our journey started in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn’t exist. I remember getting frustrated and thinking... ‘don’t you get how big of a deal this is?!’ Since ...

DoAs part of our AI Engineering team, you will serve as a senior individual contributor, owning the infrastructure and delivery workflows that move machine learning from experimentation into reliable production systems. This is a high-ownership role where you will influence technical direction, architecture, developer velocity, and production stability.Own … QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)Demonstrated experience deploying, operating, monitoring, and supporting machine learning systems in productionExperience building and owning ML pipelines, model deployment, serving, monitoring, or lifecycle infrastructureSolid programming skills in Python, plus experience with web libraries ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

tools and processes required to iterate on research ideas quickly and verify data quality through robot policy training.Contribute to our wider research agenda, including reinforcement learning, vision-language-action modeling, world-action models, and simulation, working in a fast-paced, collaborative team environment.Minimum qualifications:PhD in a technical … 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.As a Research ...

that work across problems, modalities and productsDefine new ways to measure and evaluate memory performanceHelp create and deliver production-ready, scalable and high-quality learning models and associated algorithmsCritically assess the effectiveness of such models and make recommendations for the ongoing roadmapWhat we're looking forPhD in Computer Science … Mathematics or related field, or 3+ years of relevant industry experienceExperience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systemsExpert, hands-on knowledge of:Foundational models and vision and/or language, incl. local deployment and model post-training ...

compiler, lowers them to CUDA, AMD ROCm, Apple Metal, Vulkan, x86, and ARM64. A single laptop or a datacenter. Massively batched GPU simulation for learning at scale, and complex non-batched scenes where CPU wins outright. This is at the core of Genesis AI’s strategy. Evaluation … that improves at the speed of compute. The role Simulation is still a hard sell in robotics. Outside a few success stories, like reinforcement learning for locomotion, most teams skip it, and friction is a big part of why: painful to use, painful to debug. We live that ...

state retention.6. Collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals.7. Drive the joint optimization of controllable generation and Reinforcement Learning post-training.Who We Look For1. Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning.2. Proficient in conditional generation models ...