76 to 89 of 89 Neural Network Jobs in London

doing You will be responsible for: Developing advanced AI/ML methods for analysing spatial genomics and histology datasets. Applying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions. Integrating spatial transcriptomics, single-cell sequencing and imaging datasets. Designing benchmarking strategies and reproducible … work effectively within interdisciplinary and cross‐institutional research teams. Desirable Experience with spatial transcriptomics or single-cell genomics analysis. Familiarity with graph neural networks, transformers, generative AI or foundation models. Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines. Publications or presentations at leading ...

safety, and competitive intelligence. The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium, Reaxys, Embase, and next-generation Life Sciences … quality, and production collaboration. Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such as classification, entity recognition, entity ...

mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job DescriptionAbout the role: We are looking … complex data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP).Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands ...

mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job DescriptionAbout the role: We are looking … complex data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP).Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands ...

Research Clinic Engagement: Dedicate one day per week to attend a research clinic, such as an internal medicine clinic, at a partner translational research network hospital. Contribute to GSK‐sponsored studies, providing real‐world clinical context to our research. AIML and Innovation Novel Use Case Identification: Proactively identify innovative … outcomes. Multimodal Data Experience: Familiarity with integrating diverse types of clinical and biological data. Skills: Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test Documentation. Why GSK? Uniting science ...

Senior Machine Learning Engineer working on dynamic pricing and recommender systems use cases in our games. The work involves tabular machine learning, including neural networks and approaches such as gradient-boosted decision trees. You'll focus on understanding the data, developing features and improving the models, rather than … dynamic pricing and recommender system models, from feature and label design through training, tuning and offline evaluation of tabular models such as neural networks and gradient-boosted trees.Monitor model performance once models are live across games and products. Investigate data and concept drift, including shifts tied ...

Research Clinic Engagement: Dedicate one day per week to attend a research clinic, such as an internal medicine clinic, at a partner translational research network hospital. Contribute to GSK-sponsored studies, providing real-world clinical context to our research. AIML and Innovation Novel Use Case Identification: Proactively identify innovative … efficiency and outcomes. Multimodal Data Experience: Familiarity with integrating diverse types of clinical and biological data. SkillsArtificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test DocumentationWhy GSK Uniting science ...

skills and experience. Essential 5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks — not only operating data platforms. 4+ years of people management experience, including direct reports and cross‐functional project ownership. Deep knowledge of generative … video or other high‐dimensional temporal data. Hands‐on experience with video, generative or world models — for example video generation, novel‐view synthesis, neural rendering, or controllable generation. Working knowledge of cameras and 3D geometry (multi‐camera rigs, intrinsics/extrinsics, warps and reprojection) and why they break ...

looking for the following skills and experience: 4+ years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code. Hands-on experience … with video, generative, or world models (diffusion/flow-matching/autoregressive video, novel-view synthesis, neural rendering, or similar). Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps/reprojection) and why they break generation or downstream training. Evidence of taking ...

mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job DescriptionAbout the role: Wise moves billions across … Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this ...

scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally, and contribute to the platform that compiles trained models into optimised inference engines … unique constraints of the edge - building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding ...

engineering, infrastructure and business development teams to support the firm’s technology decisions. The portfolio includes IT hardware, enterprise software, cloud services, market data, network and connectivity services, datacentre and colocation services, professional services and emerging technologies. You will get broad exposure to a wide range of cutting-edge … initial requirements through contract, delivery and lifecycle management. Responsibilities Research, evaluate, negotiate and procure technology products and services across hardware, software, cloud, market data, network and connectivity, datacentre and colocation, professional services and emerging technologies. Lead structured sourcing processes, including requirements definition, RFIs, RFPs, vendor due diligence, proposal evaluation ...

comps Some experience with CG compositing Comfortable working with or learning command-line based tools Interested in, or have basic familiarity with, deep neural networks Familiarity with ComfyUI and other GenAI tools Nice to have Experience working on projects with realistic looking CGI humans or other face replacement … approaches Any experience using or training deep neural networks models, such as Nuke Copycat, DeepFaceLab or other face swapping tools Experience with Keen Tools Python scripting skills to automate and streamline high volume of repeated day-to-day tasks #J-18808-Ljbffr ...

slap compsSome experience with CG compositingComfortable working with or learning command-line based tools Interested in, or have basic familiarity with, deep neural networksFamiliarity with ComfyUI and other GenAI tools Nice to haveExperience working on projects with realistic looking CGI humans or other face replacement approachesAny experience using … training deep neural networks models, such as Nuke Copycat, DeepFaceLab or other face swapping toolsExperience with Keen ToolsPython scripting skills to automate and streamline high volume of repeated day-to-day tasksReference ...