3,101 to 3,125 of 3,512 Machine Learning Jobs in London

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 ...

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 ...

ensure 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 and automation ...

operationalising AI 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, and risk ...

mentorship, 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 a team through ...

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 ...

Isovalent), 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...