51 to 75 of 106 Reinforcement Learning Jobs in London

predicting tumour origin . We sit at the intersection of AI’s most advanced technologies and global healthcare challenges , pioneering a future where machine learning, predictive analytics, and large-scale data integration redefine how we detect, predict, and combat disease. We are seeking a visionary and deeply technical leader … Excellence: Spearhead research and publication efforts, solidifying C the Signs as a global leader in healthcare AI. Requirements Technical Expertise Deep expertise in machine learning, natural language processing (NLP), and advanced predictive analytics. Proven success in applying AI to structured data (e.g., EHRs, demographics) and unstructured data (e.g., clinical … notes, imaging reports). Mastery of state-of-the-art deep learning algorithms, including reinforcement learning and continual learning. Extensive experience developing and deploying models for structured data (e.g., EHRs, demographic data) and unstructured data (e.g., clinical notes, imaging reports). Proven ability to design and implement More ❯

AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language processing … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … driven models of human behavior. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in the field of machine learning, AI, computer science, applied mathematics or related technical fields. Degree must be completed prior to joining Meta. Experience in theoretical and empirical research and More ❯

AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language processing … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … driven models of human behavior. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in the field of machine learning, AI, computer science, applied mathematics or related technical fields. Degree must be completed prior to joining Meta. Experience in theoretical and empirical research and More ❯

Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service Full-time Business Segment: Media Group HQ As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service. Responsibilities include … but are not limited to: Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies. Drive the collection and manipulation of new data and the refinement of existing data sources. Translate complex problems and solutions to … and automated batch implementations of the data science solutions and integrating them into the streaming service architecture. Drive innovation of the statistical and machine learning methodologies and tools used by the team. Minimum Qualifications: Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics More ❯

class researchers with experience in one or more of the following areas: autonomous agents API orchestration Planning large multimodal models (especially vision-language models) reinforcement learning (RL) sequential decision making BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research experience 3+ years of building … machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with genAI and agents Experience in shipping AI products Our inclusive culture empowers Amazonians to deliver the best results More ❯

interaction with the team and stakeholders, but we will consider applicants with remote work requirements as well. Basic qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience … applied research environment. Ability to handle ambiguity. Top tier publications pertinent to the field of study. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead … programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right More ❯

interaction with the team and stakeholders, but we will consider applicants with remote work requirements as well. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience … applied research environment. Ability to handle ambiguity. Top tier publications pertinent to the field of study. Key Job Responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead … programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right More ❯

ten years experience designing and architecting large-scale, distributed systems. At least three years designing and deploying AI/ML/NLP/Deep Learning solutions. Demonstrable experience as an expert in AI, with a consistent record of leading the architecture of multiple LLM and Generative AI solutions. Expertise … embeddings, chunking and other optimization techniques within VectorDBs. Expert programming skills in languages such as Python, Java, or C++, and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models … application frameworks, such as Langchain. Proven expertise in CI/CD pipeline management within the Generative AI space, including LLMOps. Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Strong knowledge of generative AI techniques, including deep generative More ❯

Specification: Required: PhD in Computer Science, Neuroscience, Mathematics, or related field (or equivalent industry experience). Strong programming skills in Python. Experience with deep learning frameworks (ideally PyTorch). Good understanding of transformer architectures and attention mechanisms. Background in machine learning or computational neuroscience. Desired: Good publication record … in machine learning or computational neuroscience. Experience with LLMs. Experience with biological learning systems and memory models. Knowledge of Modern Hopfield Networks and associative memory systems. Background in variational inference and/or predictive coding. Understanding of hardware acceleration techniques. Department: Reinforcement Learning Role: Research Scientist More ❯

with the team and stakeholders, but we will consider applicants with remote work requirements as well. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead … programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right … level of decomposition, employing parallelization and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work More ❯

experience from other electronic swaps or other asset classes which are primarily request for quotes driven A solid understanding and practical experience of Machine Learning (ML), including modern deep learning methods. Ideally you will have experience in Python ML and Reinforcement Learning libraries such as Tensorflow … in quantitative research, data analysis, strategy design and creation Educated to PhD, Bachelor’s degree level or equivalent qualification in Mathematics, Physics, Statistics, Machine Learning, Econometrics, Computer Science Able to articulate ideas in a clear and concise manner to enable effective communication across a diverse range of people and … support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities More ❯

Kingdom Job Category: Other EU work permit required: Yes Job Views: 7 Posted: 18.04.2025 Expiry Date: 02.06.2025 Job Description: AI Scientist – Computational Chemistry & Machine Learning A technology-driven company at the forefront of scientific innovation is seeking an AI Scientist with expertise in computational chemistry and applied machine learning … applications . Preferred Experience Expertise in one or more of the following areas: Artificial Intelligence : Experience with GNNs , transformers , generative models , Gaussian processes , or reinforcement learning . Cheminformatics : Familiarity with chemical data formats , reaction prediction , and tools such as RDKit or OpenEye . Quantum Mechanics : Practical use of More ❯

I am recruiting for a Lead Data Scientist to drive innovation in machine learning and data-driven solutions, particularly within AdTech. This fully remote role is ideal for someone passionate about optimising algorithms, building scalable models, and solving complex business challenges for clients & customers. Key Responsibilities: Develop and deploy … machine learning models to enhance advertising performance. Optimise real-time decision-making algorithms in programmatic advertising. Work with data engineers to build scalable, production-ready data pipelines. Apply advanced ML techniques like reinforcement learning and deep learning. Collaborate with cross-functional teams to integrate models into live … products. Requirements: 6+ years of experience in applied machine learning and data science. PhD or MSc in a related subject, Mathematics, Machine Learning, etc. Strong Python, SQL, and cloud-based ML framework expertise (AWS SageMaker, TensorFlow, PyTorch). Experience with real-time data processing. Knowledge of probabilistic modelling More ❯

customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements … in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value … level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally More ❯

Our engineers aren't just building a better product; they're making the world a better place by improving female health. As a Machine Learning Engineer in the Engagement tech team at Flo, you will play a critical role in enhancing customer experiences through advanced machine learning algorithms. … us tackle complex technical challenges while driving impactful solutions that meet our business objectives. Your Experience Must have: 4+ years of experience in machine learning, with a focus on recommender systems. Strong knowledge of classical machine learning and neural networks. Proven experience deploying ML models in production systems. … high-impact systems under challenging circumstances. Nice to have: Experience working in the MarTech domain in the context of the mobile app. Experience with reinforcement learning models. Experience with recommender/ranking systems. What you'll be doing You'll be responsible for: Design, develop, and deploy machine More ❯

the Senior Applied Scientist - 9 month FTC role at Votre Sommelier . We are looking for a Senior Applied Scientist, with expertise in deep learning, to join our cross-functional AI Trade Optimisation team. We build algorithms and machine learning systems for pricing, customer targeting, and product understanding. … conferences. You will be mentoring and coaching junior members of the team, supporting their technical progress. About You You have professional experience in machine learning and their practical applications in production environments. You are familiar with statistics, regression and ensemble methods, and have particular expertise with deep learning. Expertise … and exposure to optimization, causal methods or reinforcement learning are a plus. You are comfortable working in Python and familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow). Experience with distributed computing frameworks (e.g., Horovod, DeepSpeed) for training deep learning models is a More ❯

ten years experience designing and architecting large-scale, distributed systems. At least three years designing and deploying AI/ML/NLP/Deep Learning solutions. Demonstrable experience as an expert in AI, with a consistent record of leading the architecture of multiple LLM and Generative AI solutions. Expertise … embeddings, chunking and other optimization techniques within VectorDBs. Expert programming skills in languages such as Python, Java, or C++, and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models … application frameworks, such as Langchain. Proven expertise in CI/CD pipeline management within the Generative AI space, including LLMOps. Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Strong knowledge of generative AI techniques, including deep generative More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models and AI solutions … leveraging cutting-edge technologies like Azure Machine Learning, AutoML, and cloud-based AI tools. This role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. … models for regression, classification, clustering, and deep learning. Explore and implement state-of-the-art AI approaches such as transformer models, generative AI, and reinforcement learning. Expertise in natural language processing to analyze and generate insights from unstructured text data. Advanced Analytics and Insights Extract actionable insights from structured More ❯

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard … data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental More ❯

experience with large data sets during their entire lifecycle: data ingestion, processing/cleansing, storage, analysis. Professional experience with any of the following machine learning techniques: regression and classification, neural networks, decision trees, reinforcement learning, large language models or other machine learning techniques. Amazon is an More ❯

experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need … knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models how to interact with new information architectures. Build "hard" eval sets to help identify failure modes of how … infrastructure for running experiments and visualising results. Work with colleagues to communicate results internally and publicly. Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table. Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture. More ❯

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. Responsibilities … Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure … technical decision-making Translate business requirements into technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working More ❯

years of experience in software development and with data structures/algorithms in Python. 7 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with speech/… audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making) or ML infrastructure, or related ML field. 5 years of experience with design and architecture; and testing/launching software products. Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science … teams. Develop and implement systems-based solutions to problems, balancing planning with rapid iteration to achieve timely results. Drive technical project strategy, lead Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas. #J-18808-Ljbffr More ❯

years of experience in software development and with data structures/algorithms in Python. 7 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with speech/… audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making) or ML infrastructure, or related ML field. 5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science … teams. Develop and implement systems-based solutions to problems, balancing planning with rapid iteration to achieve timely results. Drive technical project strategy, lead Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas. More ❯

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and … to: Foundational LLM capabilities on using personal/contextual information and on user intent understanding. Foundation LLM training recipes including supervised fine-tuning and reinforcement learning, etc. LLM reasoning, especially LLM reasoning for personalization and user intent understanding. LLM personalization for some of Google’s major AI applications. …/research scientist who can drive new research ideas from conception, experimentation, to deployment in a rapidly shifting landscape. Strong academic background in machine learning, information retrieval, and natural language processing, including prior publication track record in top research conferences (NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, WSDM, SIGIR, WebConf More ❯