26 to 46 of 46 Neural Network Jobs in London

drug discovery. Expertise in one or more of the following areas: Artificial Intelligence: Experience with state-of-the-art methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning. Cheminformatics: Knowledge of chemistry data storage, formats, and synthesis prediction; proficiency with toolkits such as More ❯

market data, driving business strategy and the design of our quantitative market making platform. Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive market making and risk management decisions in real time. Be involved in platform software development across a range More ❯

a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems. You have hands-on experience implementing production machine learning systems at scale in Java More ❯

at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries More ❯

our recruitment team. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Or: Advanced statistics and experience operationalising academic research Security clearance: You must be able to More ❯

Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences. Providing technical leadership to drive up More ❯

maintain PyTorch integration for a custom AI platform. Build and optimize kernels and libraries for core AI operations. Create tooling for neural network deployment and optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks More ❯

applied to financial markets, time-series analysis, or similar data-intensive domains. Deep theoretical knowledge of machine learning, with expertise in areas such neural networks and statistical modelling. Advanced programming proficiency in Python or C# , with a track record of writing production-ready code. Demonstrated ability to articulate More ❯

models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures. Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving. Strong More ❯

our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. We are actively seeking new methods and ideas. At XTX Markets technology is our business and we are More ❯

machine learning Ideally, you will also have: Experience in molecular simulation, cheminformatics or bioinformatics Experience with advanced machine learning methods (generative modelling, graph neural networks) Not sure if you meet the requirements? We recognise that great candidates come from different backgrounds, and we would love to hear from More ❯

InDesign, and After Effects) or Adobe Experience Cloud products (i.e., AEM, AEP) is a plus. Knowledge of generative AI technologies, including deep learning, neural networks, and generative models is a plus. Strong knowledge of creative workflows and the design process, with the ability to find opportunities for integrating More ❯

statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch , TensorFlow , JAX or similar frameworks Strong coding abilities in Python and … and Natural Language Processing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural networks) Multi-modal deep learning and/or information retrieval Architecture, Construction, Manufacturing, Media & Entertainment or other Autodesk domains Salary transparency: Salary is one More ❯

for prototyping. Participate in cross-functional meetings, providing insights on leveraging AI technologies. Lead initiatives utilizing AI-powered coding assistants and apply Tensor Neural Networks for pricing complex derivatives like Bermudan Swaptions. To find out more about SThree, please visit . SThree Partnership LLP is acting as an More ❯

Utilize AI-powered coding assistants for intelligent code completion, syntax validation, and error detection, enhancing development efficiency and code quality. ? Application of Tensor Neural Networks for pricing complex financial derivatives such as Bermudan Swaptions, improving accuracy and computational efficiency To find out more about SThree, please visit www.sthree.com More ❯

London, United Kingdom Who We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry data, ThousandEyes … models and delivering large-scale ML products. MS or PhD in a relevant field. Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some More ❯

to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage. Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and … Excellent Python skills. Strong Machine Learning & Statistical knowledge Commercial Recommendation Engine experience Software Development best practice approach (CI/CD experience, etc.) Graph Neural Networks/Knowledge Graph experience. If this role interests you and you would like to learn more, please apply here or contact us via More ❯

of financial services, Marex's purpose, and strategic priorities. Join your team post-bootcamp, fostering connections through continuous training. Learn, grow, and expand your network through a diverse array of sessions fast-tracking your understanding of Marex and the industry. Engage in workshops covering behavioural, cognitive skills, technical understanding … by senior Marex Leaders. Gain exposure, ask questions, and gain real insights into the business from influential figures. From day one, connect with a network of fellow graduates. Attend training and events together, creating bonds with those sharing your journey. Join Marex, where your passions align with purpose, and … work in agile 'streams' aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The IT Group runs our enterprise-wide services to end users and actively manages More ❯

work in agile 'streams' aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The IT Group runs our enterprise-wide services to end users and actively manages … background, particularly in areas relevant to machine learning and AI. Basic understanding of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks). Technical Skills: Experience with data manipulation and analysis using tools like Pandas and NumPy. Basic knowledge of cloud platforms like AWS, Azure More ❯

a unique opportunity to develop and deploy advanced AI models in high-impact environments. 🚀 What You'll Be Doing Designing, developing, and training neural networks to meet complex functional requirements. Deploying AI models efficiently on scalable server-based platforms. Collaborating with cross-functional teams to integrate ML capabilities … Continuously improving model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models More ❯

a unique opportunity to develop and deploy advanced AI models in high-impact environments. 🚀 What You'll Be Doing Designing, developing, and training neural networks to meet complex functional requirements. Deploying AI models efficiently on scalable server-based platforms. Collaborating with cross-functional teams to integrate ML capabilities … Continuously improving model performance and infrastructure through experimentation and optimisation. 🧠 What We're Looking For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models More ❯