3,076 to 3,100 of 3,524 Machine Learning Jobs in London

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 ...

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 ...

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 ...

make an impact from day one. What you will own Vision and roadmap for search, discovery, and AI-powered personalisation across the platform ML-driven recommendation engines, dynamic feeds, and ranking algorithms that surface the right content to the right member at the right moment Automation of high-volume workflows … when to Comfortable with ambiguity and able to bring structure to evolving, fast-moving environments Strong analytical foundation, at ease with data science concepts, ML features, and experimentation A communicator who can influence senior stakeholders and bridge technical and non-technical teams London-based and open to hybrid working What ...

responsibilitiesAs Research Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews … architecture decisions, and research direction for the inference stack.You will:Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery.Own the team's research and development ...

UKRI framework agreements, Wellcome Trust investment governance, and government spending controls.Identify and qualify new opportunities across national HPC services, research data platforms, AI/ML infrastructure, Trusted Research Environments, shared cloud services, and digital transformation programmes.Maintain a robust and accurate sales pipeline with clear next steps, timely CRM updates … involving multiple governance layers, ministerial approvals, and framework compliance (e.g. G-Cloud, CCS, JANET).Work with AWS Solution Architects, Specialist teams (HPC, AI/ML, Analytics, Storage, Security), Partners, and Professional Services to deliver technical validation and proof-of-value engagements.Engage with AWS policy and government affairs teams to align ...

clinicians work every day. Our stack GCP · GKE · Terraform · GitOps & ArgoCD · PostgreSQL + Redis · TypeScript across the stack (React, NestJS) · Python/FastAPI for ML workloads · Pub/Sub for events · Self-hosted ML models What we offer 28 days holiday + bank holidays Latest MacBook and the right equipment ...

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 ...