301 to 309 of 309 Machine Learning Jobs in Central London

GlaxoSmithKline (GSK) seeks AI/ML Engineers to join the AI for Science (AI4S) team to design, implement and validate ML models for real‐world biomedical problems. You will drive model development across scientific tasks using HPC and large biomedical data sources. You will collaborate with biology, medicine and experimentation … ensure high‐quality data for model development, deliver robust code in an agile environment, and contribute to state‐of‐the‐art AI/ML research and deployment. #J-18808-Ljbffr ...

Raytheon UK seeks a data science professional to advance AI/ML projects within its Strategic Research Group. The role offers a hybrid pattern across Gloucester, Manchester or London with about three on-site days weekly and requires SC and eDV clearance readiness. You will work with seniors and customers … scoping and deliver data-centric AI/ML solutions, presenting results to stakeholders and shaping technical direction. #J-18808-Ljbffr ...

Howden Group Holdings in London is seeking a Lead Data Scientist to join the Group Data Science team. You will deliver production-ready ML/AI initiatives, partnering with data engineers, platform teams, and stakeholders to drive measurable business outcomes across the global operation. The role combines technical leadership with ...

transparent, high-quality pricing and offers experiences across Expedia Group brands. You will mentor engineers, champion code quality and testing, and apply AI/ML concepts to real-world pricing workflows while maintaining #J-18808-Ljbffr ...

Medpace is seeking an AI/ML Engineer with a passion for AI tools and interactive AI applications to join our team. You will design, fine-tune, and deploy ML models, collaborate across IT and business units, and help implement AI solutions across systems. The role emphasizes hands-on development … data preprocessing, and building scalable ML pipelines with modern frameworks. Office-based environment with on-site mentorship and some flexible work after training. #J-18808-Ljbffr ...

detection engineering, threat intelligence and adversarial analysis, cloud security, adversary simulation, mobile and platform security, forensic investigation, or emerging areas like AI/ML security — becomes the foundation for capabilities no existing AI system can replicate.This role is for experienced security practitioners who want to operate at the intersection … capabilityExperience in creating structured methodologies that scale security expertise across teamsBackground in supply chain security, mobile platform security, network protocol security, or AI/ML securityAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. ...

Accenture is a leading global professional services company that helps clients build their digital core, accelerate AI initiatives, and deliver production‐ready ML solutions. We are seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud ...

Google London, UK is seeking a Share Senior Research Engineer, ML Lead, Health Frontiers to advance frontier technologies in health data science and multimodal modeling. You will work on world-scale datasets, focusing on model optimization, novel architectures, and production-ready research systems in health. The Health Intelligence and Health ...

globally renowned client for an AI specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms. We're looking for technology governance SME who can demonstrate a track record of operationalising controls and driving adoption. Titled … governance processes across the end-to-end AI lifecycle (data, development, validation, deployment, monitoring, and retirement) Embed governance controls into AI/ML platforms, MLOps pipelines, and AI lifecycle management Own AI governance operations including AI Registry, model/agent inventory, AI asset tiering, approvals, attestations Establish governance automation ...