101 to 125 of 192 Reinforcement Learning Jobs in London

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 ...

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 ...

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 … 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 ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve … driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

Ensure best practices in modelling, experimentation, and deployment.· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets· Translate business problems into analytical frameworks and actionable solutions to improve decision making· Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)· Have experience of leading and landing successful Data Science projects ...

Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications:Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your ...

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 ...

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 ...

will advance research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally. Our team blends deep learning and reinforcement learning to tackle high-impact medical challenges, with a focus on safe, scalable AI for real-world health outcomes ...

Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control Experience working with large datasets Knowledge of and interest ...

DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions … number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem.In this role, you willCreate and deliver production-ready, scalable and high-quality machine learning models ...

share your preferred working location from the following: London, UK; Zürich, Switzerland . Minimum qualifications: PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience with training generative models (Large Language Model (LLM), image, video). Experience of TensorFlow or ML frameworks (e.g. … 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. ...

plans, 10% employer pension contributions and an extensive structured professional development programme. Keywords Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack, Python ...

developingand applying methods for AI assurance, helping to build confidence in thesafety, reliability and trustworthiness of AI systems. Through a combination ofpractical and theoretical learning, you will gain experience aligned with theUK's vision for trustworthy and responsible AI innovation, becoming a technicalauthority for building confidence in the trustworthy … Scientist/AI Software Developer to support the development and deployment of test and evaluation processes for artificial intelligence and machine learning solutions. This role is ideal for those with experience in developing or testing AI/ML applications and is looking to build their skillset, working closely with ...

problems at scale. Key Responsibilities Advance ML Science & Infrastructure: Carry out cutting-edge research to push the state of the art in machine learning systems, large language models (LLMs), and generative AI. Recursive Self-Improvement Focus: Design and build reinforcement learning environments, generate synthetic data, and research … publish findings and impact production systems, subject to organization policies. Role Requirements & Qualifications Minimum Qualifications: Experience: Sufficient years of hands-on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands-on experience with deep learning ...

meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances … that you care deeply about What we offer Competitive salary and VSOP options Relocation support : up to €2,500 and 4 weeks temporary accommodation Learning : €500/£450 yearly allowance Health & wellness : gym membership and mental health support (Nilo.health) Social : regular company events and monthly social allowances Enhanced parental ...

experience in a people management, supervision/team leadership role.Preferred qualifications:5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.Experience with generative AI research or applications.Experience evaluating model performance, analyzing … results, and implementing improvements.Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.Experience in developing and shipping software products rapidly.Contributions to open-source projects.In this role, you will lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses ...

people management, supervision/team leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing … results, and implementing improvements. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Experience in developing and shipping software products rapidly. Contributions to open-source projects. In this role, you will lead the development and deployment of novel applications, leveraging Google's generative ...

people management, supervision/team leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing … results, and implementing improvements. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Experience in developing and shipping software products rapidly. Contributions to open-source projects. About the job In this role, you will lead the development and deployment of novel applications, leveraging Google ...

make a meaningful impact in the worldOur work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances ...