1,976 to 2,000 of 2,748 Machine Learning Jobs in London

impact ISV partnerships from strategy through executionExperience creating joint solutions and marketplace-ready offerings, including packaging, pricing, and deployment modelsDeep understanding of AI/ML, analytics, and modern data platformsAbility to translate technical capabilities into clear, sellable value propositionsExceptional cross-functional leadership, aligning teams to deliver at pace and scaleStrong ...

coaching). 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 ...

coaching). 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 ...

build trust with security organizationsPreferred qualification Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred Experience with AI/ML systems and their security implications and applications Track record of building and deploying automated security solutions in large-scale environments History of contributions to security ...

primary stack, but we'll happily hire someone excellent in Go, Kotlin, Python or similar)Experience scaling systems to high user volumesExposure to ML/AI systems in productionHealthcare or regulated-industry experienceWhy this might be the right moveGenuine equity in a product with real upside, not lottery-ticket equity ...

outcomes to Board-level stakeholders4/Build and manage a qualified pipeline of opportunities across infrastructure migration, managed services, data platforms, and AI/ML workloads5/Work with the AWS partner ecosystem (GSIs, managed service providers, health-tech ISVs) to develop joint solutions and co-sell motions6/Collaborate ...

GitOps workflows (ArgoCD/Flux), Helm, and service mesh. Familiarity with AI-ready infrastructure: GPU compute, high-performance fabrics (RoCE/InfiniBand), AI/ML reference architectures (e.g., Cisco + NVIDIA), and storage for AI workloads. Relevant industry certifications (e.g., CCNP/CCIE Data Center, VMware VCP, CKA/CKAD ...

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 ...

Kubernetes and container orchestration platforms. Infrastructure automation and observability platforms experience. Emerging technology awareness, keeping an eye on the latest in AI/ML infrastructure and edge computing. Industry certifications, such as AWS Solutions Architect, VMware VCP or similar. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided ...

internal teamsProvide hands-on technical guidance and design reviewsBuild a high-performing, collaborative team cultureDrive delivery, prioritization, and skill developmentStakeholder CollaborationPartner with AI/ML, data, and business teamsTranslate requirements into agent workflows and platform capabilitiesProvide thought leadership on agentic AI adoptionRequired SkillsLLM IntegrationRAG ArchitectureTool/Function CallingCypherPreferred SkillsAgent frameworks ...

Lean/Six Sigma or continuous improvement frameworks is a plus. Exposure to digital transformation initiatives, such as automation, workflow redesign, or AI/ML applications. Strong communication and stakeholder management skills, including training and change enablement. Preferred Qualifications Experience in change management, training, or process governance. Background in global ...

data audits, controls, compliance)Preferred SkillsExperience with knowledge graphs/Neo4jData governance and metadata managementDashboarding tools (Power BI, Tableau, etc.)Exposure to AI/ML data validation practicesJob ExpectationsEstablish and drive enterprise-grade data quality standardsEnsure continuous monitoring and improvement of knowledge graph qualityDeliver actionable insights and measurable improvementsEnable trust ...

international and diverse team passionate about transforming healthcare through data. Deep Technology & Science: Get exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields. Join us at Lifebit for a career that promises to be your next significant venture, dedicated to advancing ...

coaching). 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 ...

mechanics of hyperscaler co-sell: funding, marketplace, joint account planning and field engagement Strong foundational knowledge of GCP infrastructure, data and AI/ML capabilities — enough to be credible with engineers and buyers Proposition & Value Articulation You move from problem to outcome to value, and can tell a quantified ...

exactly what it takes to get AI-enabled services over the line in Government. You have a demonstrable interest and understanding of AI and ML concepts and can think creatively about their application for a range of Public Sector challenges. You possess the technical nous to engage confidently with directors ...

technical roadmaps aligned with growth roadmaps and long-term defence strategiesevaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical softwareCollaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutionsBeing responsible ...

equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. Understanding of secure‐by‐design principles for AI/ML‐enabled systems, including securing inference pipelines, model integrity, and cloud‐to‐edge communication paths. Exposure to CAN bus, Ethernet backbone, or wireless interface security ...

Kingfisher plc is seeking a senior data science leader to drive AI initiatives across its brands. You will lead a team of Machine Learning Engineers, shape data platforms, and partner with tech, product and data teams to apply data science throughout products and processes. You will champion ...

across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible … technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML ...

Staff Machine Learning Engineer in London, UK. You will own the real-time decisioning platform for fraud detection, building end-to-end ML lifecycle tooling, feature infrastructure, and production-grade models. The role emphasizes ownership, high-velocity delivery, and collaboration with cross-functional teams. The team focuses ...

London-based TechBio company, is seeking an Associate Director, Platform Engineering to lead the hybrid compute infrastructure and scientific compute environments powering its machine learning and drug discovery work. You will define platform strategy, hire and develop the Platform Engineering team, and collaborate with Engineering, Data Science and ML peers to deliver robust, scalable infrastructure across on‐prem and cloud environments. #J-18808-Ljbffr ...

standardsand in achieving successful clientoutcomes. We are open, honestand communicate in a jargonfree, collaborative way, with all ourteams being agile and curious, andcontinuously learning to achieveour purpose. We believe that ifwe achieve our purpose theneverything else will follow. Clever with data... combining data,insight, and action to drive value … delivery of client analytics and modelling work,with fewer platform-related blockers Continued improvement of Sagacity’s Product Suite through arobust, scalable data and ML platform Ability to take accountability and ownership for client and internal Work as part of the Data & Analytics team, providing knowledgetransfer, peer reviews and mentoring ...

your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service … governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Amazon SageMaker (and related AWS AI services) to operationalise models and drive ...

track record of shipping models to production and supporting them post-deployment.* Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms … testing, and monitoring to support reliable model deployment and maintenance.* Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems.**EDUCATION** Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience.**WHAT ...