101 to 125 of 228 Reinforcement Learning Jobs in England

applicable. Last date of application: 30th June 2024 Start Date: 1st August 2024 Key Responsibilities AI Model Development: Design, develop, and train machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Fine-tune and optimize models for performance and scalability. Software Development: Write clean, maintainable, and efficient … communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. Experience in agile ...

outcomes. RequirementsThe Role: We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. You’ll collaborate with product, engineering, and business teams to transform data … into actionable insights and high-impact AI solutions.Key Responsibilities:Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems).Explore, cleanse, and transform large structured and unstructured datasetsConduct statistical analysis, experiment design, feature engineering, and model evaluation.Build scalable data pipelines and automate ...

outcomes. The Role: We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. You’ll collaborate with product, engineering, and business teams to transform data … into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable ...

Manager, Research Engineering with the skills and drive to manage a top performing Engineering team focused on developing the latest in LLM and Machine Learning capabilities. Foundational Research Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development … with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute ...

growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power. We are looking for exceptional machine learning researchers to join our efforts. Researchers will work … closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required. Key responsibilities may include: Managing all aspects of the research process ...

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 … capabilities and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep understanding and experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.Depending on your experience:You will both ...

responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions.Our work spans … stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post-trade analytics.Culture carriers — You contribute to an inclusive, high-performance team culture. You are willing to mentor others, share knowledge, and uphold ...

responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. Our work … stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post‐trade analytics. Culture carriers — You contribute to an inclusive, high‐performance team culture. You are willing to mentor others, share knowledge, and uphold ...

stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post-trade analytics. Culture carriers — You contribute to an inclusive, high-performance team culture. You are willing tomentor others, share knowledge, and uphold … Conduct rigorous quantitative research on market microstructure, order-book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short-term price prediction, fill-rate estimation, market-impact modelling, and optimal order placement/scheduling. Collaborate with technology teams to productionize ...

looking for a Machine Learning Engineer/AI Research Engineer to join our small core team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods … Achievements get rewarded. What we're looking for Strong Python, with good software-engineering habits (Git, testing, reproducible experiments). Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). ...

right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

right place. Agentforce is the future of AI, and you are the future of Salesforce.What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.We are an extremely product focussed … enable us to move to production fast, often shipping to beta in weeks after a successful offline test.We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across Global Markets. Build scalable infrastructure for machine learning and generative AI workloads. Define architectures for model deployment, inference, orchestration and monitoring. Develop reusable frameworks, APIs and services that accelerate AI delivery across multiple … track record delivering large-scale engineering or AI platform initiatives. Expert Python development skills. Strong software engineering and architecture experience. Experience building production machine learning or generative AI systems. Excellent understanding of distributed systems, APIs and modern software architectures. Experience working with cloud-native environments and container platforms. Experience ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Data Scientist Manager at Kainos,youllbe responsible forsuccessful delivery of advanced AI solutionsleveragingstate-of-the-artmachine learning, generative and agentic AI technologies.You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Data Scientist Manager at Kainos,youllbe responsible forsuccessful delivery of advanced AI solutionsleveragingstate-of-the-artmachine learning, generative and agentic AI technologies.You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

point clouds, grasp planning), human‐robot collaboration safety and cobot standards, simulation environments (Gazebo, MuJoCo, Isaac Sim), AI/ML for robotics (reinforcement learning, imitation learning, learned grasping), or laboratory and pharmaceutical automation is valuable but not required. What this Role Is (and isn’t) This role ...

Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance.Math & Operations Research: Applied knowledge of linear/nonlinear optimization, statistical analysis, reinforcement learning, and forecasting is a plus.Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts … well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling ...

practitioner developing production AI/ML solutionsFamiliarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPTDeep knowledge and experience in machine learning and artificial intelligenceExpertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking … Recommendation, or Time Series AnalysisKnowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statisticsUnderstanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-LearnStrong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi ...

developing production AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … frontier industrial AI.Develop new models, algorithms, evaluation methods, and system architectures.Build high-quality experimental systems and validated research prototypes.Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio.Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading AI labs, universities ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … frontier industrial AI.Develop new models, algorithms, evaluation methods, and system architectures.Build high-quality experimental systems and validated research prototypes.Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio.Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading AI labs, universities ...

Senior Software Engineer, Machine Learning Infrastructure - Generative AI About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission … GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform - including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques - enabling the next generation of AI-powered products, agents, automation ...

visibility multidisciplinary group of engineers and scientists, focused on improving the customer experience for Prime Video. Key job responsibilities Research, design, and implement machine learning approaches (e.g. reinforcement learning and recommendation systems) that personalise across different customer touch points. Collaborate with engineers to deploy and integrate successful … subject-matter expert and help define the science roadmap and research agenda in line with organisational priorities and production constraints. Provide machine learning thought leadership to technical and business leaders, thinking strategically about business, product, and technical challenges. Work with technical product managers to work backwards from what matters ...