3,076 to 3,100 of 3,512 Machine Learning Jobs in London

data to refine what is shown, where, and when across the funnel. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML-enabled solutions that enhance personalization, targeting, or testing of loyalty messaging. Preferred … concept through launch to scaled adoption, including structured A/B testing, iterative optimization, and ongoing lifecycle management. Hands-on experience leveraging AI/ML-enabled solutions to improve how, when, and where loyalty value is communicated (for example, personalization, dynamic message selection, or automated experimentation), with a focus ...

using data to refine what is shown, where, and when across the funnel.Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‐enabled solutions that enhance personalization, targeting, or testing of loyalty messaging.Preferred Qualifications … from concept through launch to scaled adoption, including structured A/B testing, iterative optimization, and ongoing lifecycle management.Hands-on experience leveraging AI/ML-enabled solutions to improve how, when, and where loyalty value is communicated (for example, personalization, dynamic message selection, or automated experimentation), with a focus ...

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 ...

alerting frameworks to maintain production system health. Managing production environments and taking ownership of incident response and root cause analysis. Collaborating with Software and ML engineers to ensure applications are architected for production readiness. Mentoring and coaching Engineers through peer reviews and the sharing of engineering best practices. … hands‐on code proficiency to deliver consistent, repeatable infrastructure. You possess the expertise to manage Kubernetes clusters and Docker environments at scale for modern ML platforms. You leverage strong Python skills to build robust platform tooling that allows agentic systems to interact reliably with infrastructure. You translate complex requirements into ...

that power Fin's AI capabilities.Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.Support teams of ML Scientists and Engineers building AI powered capabilities.Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality … needsAdaptable leadership style suited to a group that will grow quickly, and change shape over time.Curiosity and enthusiasm for AINice to haveExperience training ML models and operating them in production, at scale.#LI-HybridAt Fin, we want to give people what they need to do the best work of their careers. ...

usabilityTeam LeadershipCoach, mentor, and develop internal talentProvide hands-on technical guidance and reviewsDrive delivery, prioritization, and skill developmentStakeholder CollaborationPartner with data, AI/ML, and business teamsTranslate requirements into semantic modelsProvide thought leadership on graph adoptionRequired SkillsNeo4j Schema Design (Cypher, property graph modeling)Ontology Engineering (OWL/RDF, Protégé)Graph … integration, retrieval strategies)API Design (REST/GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture, ontology design, and advanced AI capabilities while building and leading ...

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 ...

SaaS or fintech.A track record of shaping strategy beyond a single squad and turning it into sustained customer and business outcomes.Experience with AI, ML, automation, or data products. You don’t need to be an ML engineer, but you should understand model capabilities, limits, evaluation, data dependencies, and operational risk.Strong ...

team, this manager will own the AI Enablement Integration portfolio, lead a globally distributed MuleSoft engineering team, and partner with Enterprise Architecture, AI/ML, Salesforce, Data, Security, Product, and Platform teams to design and operate the integration layer for the agentic enterprise in a highly regulated healthcare environment. Global … ready API design, MuleSoft AI capabilities, secure-by-design delivery, and production operations. Enable strong collaboration between delivery, MuleSoft CoE, Enterprise Architecture, AI/ML, SRE, Security, and production support teams. Set expectations for quality, operational ownership, reuse, documentation, and cross-regional collaboration. Foster a culture of innovation, accountability, continuous ...

fintech. A track record of shaping strategy beyond a single squad and turning it into sustained customer and business outcomes. Experience with AI, ML, automation, or data products. You don’t need to be an ML engineer, but you should understand model capabilities, limits, evaluation, data dependencies, and operational risk. ...

discovery through to adoption.Use qualitative and quantitative insights to refine direction and ensure ROI.Ruthlessly prioritize based on measurable value.AI-Driven Innovation & PrototypingLeverage AI/ML and automation to enhance operational decision-making and optimize manufacturing workflows.Lead functional prototyping and early validation to ensure feasibility and market fit.Champion an AI-first … skills.Data-informed decision-making mindset, using analytics, experimentation, and evidence to guide direction.AI-curiousDesirableExperience in developer platforms, application frameworks, data services, or AI/ML-enabled enterprise applications.Prior exposure to commercial responsibilities such as pricing, monetization, or P&L ownership.Experience working in global, distributed organizations and partnering across geographies.Additional InformationInterviews ...

team, this manager will own the AI Enablement Integration portfolio, lead a globally distributed MuleSoft engineering team, and partner with Enterprise Architecture, AI/ML, Salesforce, Data, Security, Product, and Platform teams to design and operate the integration layer for the agentic enterprise in a highly regulated healthcare environment. Global … ready API design, MuleSoft AI capabilities, secure-by-design delivery, and production operations. Enable strong collaboration between delivery, MuleSoft CoE, Enterprise Architecture, AI/ML, SRE, Security, and production support teams. Set expectations for quality, operational ownership, reuse, documentation, and cross-regional collaboration. Foster a culture of innovation, accountability, continuous ...

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 ...

release gates along this journey, ensuring that each training phase is sufficiently validated before the next phase begins.You'll drive technical excellence across our ML delivery pipelines. You'll review release content to ensure it meets our standards, identify bottlenecks in the process, and partner with platform teams to make … baseline, and a mistake here has real consequences for how the product performs on-road and how it's perceived externally.Key responsibilities:Collaborate with ML engineers, data engineers and product teams to deliver features end to end.Review release content — model and metric changes, evaluation results — to confirm everything meets Wayve ...

practical, responsible AI implementation.Requirements:Proven experience building and deploying AI-native software in production settings.Full-stack expertise in frontend, backend, databases, and AI/ML solutions.Experience developing predictive models, LLM workflows, scheduling systems, etc.Strong organizational skills and the ability to work effectively across different teams.Up-to-date knowledge ...

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 ...

Python has become a vital part of JaneStreet's research and trading work, acting as the go-to language for data analysis,visualisation, and machine learning. Beyond our own environment, we also recognisethe value of open source software, leveraging itin our daily work and releasing over a millionlines ...

equivalent is a plus.- Prior law enforcement and/or prosecution experience is a plus.- Experience with or strong interest in using AI/ML models to enhance fraud detection, investigation efficiency, and prevention strategies.Req ID: A13148 ...

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 ...

Company Overview:Blue Yonder is a global leader in digital supply chain management solutions, recognized for its innovative approach leveraging AI and machine learning. Blue Yonder offers comprehensive services across supply chain planning, execution, omnichannel commerce, and network design. Our advanced technology helps businesses optimize their operations and deliver ...

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 ...