1,951 to 1,975 of 2,743 Machine Learning Jobs in London

data and workloads. You will run hands-on evaluations, engage CTOs and lead engineers, and articulate the technical and business value across data engineering, ML, and Generative AI. London-based with travel across UK&I. Join a collaborative team that values innovation and practical demonstrations over slideware. #J-18808-Ljbffr ...

role emphasizes collaboration with Google DeepMind, translating state-of-the-art research into practical features, and delivering production-ready services at scale while advancing ML and AI capabilities. #J-18808-Ljbffr ...

design and deploy applications that leverage our physics AI models for engineering and manufacturing customers. You’ll work with customers, data scientists, and ML engineers to translate complex problems into practical software solutions. You will travel 3-4 weeks per quarter to customer sites across North America, Europe, Asia ...

collaborate with product and architecture, and improve observability and reliability across services. You’ll mentor engineers, contribute to standards, and safely integrate AI/ML-enabled solutions in line with Expedia Group practices, helping optimize outcomes for travelers and #J-18808-Ljbffr ...

with data engineering and product teams to deliver value. The role requires a proven ability to tell a compelling data story, apply AI/ML insights, and lead requirements through an agile delivery process while staying aligned with #J-18808-Ljbffr ...

optimise AI models and push the boundaries of generative AI. You will work on large-scale generative models and contribute to production-ready ML pipelines in a collaborative, innovation-driven environment. The role is full-time and on-site in the UK, with sponsorship for Skilled Worker visa offered ...

layers for agentic workloads and developing GenAI features that enhance real-time planning workflows. The ideal candidate will have deep knowledge of AI/ML products, data engineering, and extensive experience in model lifecycle development. Join a diverse and inclusive team where your authentic self is valued and respected. #J ...

into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes. The role requires deep technical expertise in transformer-based ML, experience with PyTorch and Hugging Face, and the ability to present complex concepts to senior #J-18808-Ljbffr ...

Deployed Engineer for the Google Cloud Public Sector team. You will be embedded with highly regulated customers to transform operations using advanced AI/ML technologies, moving from prototypes to production-grade agentic workflows inside customer environments. In this role you will bridge frontier AI products with real-world production ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You will be an xxuwjjq embedded builder who bridges the gap between frontier AI products and production-g... Read the overview of this opportunity to understand ...

Europe (Germany, Denmark, Netherlands, France, Spain, Switzerland) Full time- Permanent Responsibilities: Solution Architecture & AI Innovation Design end-to-end AWS solutions covering AI/ML/GenAI, cloud-native applications, data platforms, and modernization. Lead PoC and demo creation including GenAI, Copilot-style, and agentic AI demonstrations. Define scalable, secure ...

edge AI networking company | London, Hybrid Working Model This innovative deep-tech company is developing next-generation networking technology designed to accelerate AI/ML and high-performance computing workloads while dramatically reducing energy consumption. The team are now looking for an Embedded Linux Engineer to support the development ...

Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise architecture frameworks and collaborating across multiple architecture disciplines This ...

years' experience in Product Management/Product Development leadership Strong experience taking products from discovery through to execution A strong understanding of AI/ML and emerging technology – you don't need to be an engineer, but you should be technically credible enough to work effectively with Engineering teams Ideally ...

dedicated to studying AI security. The goal is to further cutting-edge research and engineering approaches to solve real-world problems in AI/ML security. Your team will be working closely with partners in government, academia and industry to raise the UK's overall capability and expertise in this ...

ensure design consistency, with a real focus on craft and polish Ship consumer-facing AI features into production on mobile, from on-device ML to in-app AI assistants Contribute to architectural decisions to ensure scalability, maintainability, and flexibility of the mobile codebase Test, debug, and resolve issues to maintain ...

much as when toComfortable with ambiguity and able to bring structure to evolving, fast-moving environmentsStrong analytical foundation, at ease with data science concepts, ML features, and experimentationA communicator who can influence senior stakeholders and bridge technical and non-technical teamsLondon-based and open to hybrid workingWhat is on offerSalary ...

containerization platforms. Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team. Experience managing ...

containerization platforms. Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team. Experience managing ...

years of experience in partner management, business development, sales, or channel development in the technology industry. Experience participating in or coordinating AI/ML technical transformations, utilizing FDE or embedded delivery model. Preferred qualifications: Experience launching partner products and solutions, including complex channel go-to-market motions such as multi ...

years of experience in partner management, business development, sales, or channel development in the technology industry. Experience participating in or coordinating AI/ML technical transformations, utilizing FDE or embedded delivery model. Preferred qualifications: Experience launching partner products and solutions, including complex channel go-to-market motions such as multi ...

governance requirements through technical controls and automation. Key Skills & Experience: Strong background in cybersecurity and security engineering or architecture. Familiarity with AI/ML security principles and emerging AI security risks. Proven experience in establishing security controls and governance frameworks for AI solutions. Understanding of responsible AI practises, AI governance ...

governance requirements through technical controls and automation. Key Skills & Experience: Strong background in cybersecurity and security engineering or architecture. Familiarity with AI/ML security principles and emerging AI security risks. Proven experience in establishing security controls and governance frameworks for AI solutions. Understanding of responsible AI practises, AI governance ...

that responsible use of AI and data is embedded throughout the organisation's engineering landscape. You will be responsible for: Overseeing multiple Data and ML Engineering teams, directly managing senior colleagues and ensuring strong performance across platform services. Setting the strategic direction for the data and AI platform, engineering ...

evaluate complex data flows, configure effective DLP rules, and engineer mitigation strategies that reduce risk without disrupting business operations. Emerging familiarity with AI/ML data security risks — including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such ...