Top Tech Jobs & Startup Jobs in London

Leads consultative cybersecurity solution sales for UK and Ireland customers, developing opportunities, building pipelines, and closing complex cloud-based security deals. The role involves engaging business and technology decision-makers, delivering technical security discussions and demonstrations, collaborating with partners and internal teams, analyzing competitors, forecasting, and executing account and deal strategies. It also requires mentoring colleagues, supporting digital transformation, and expanding Microsoft Security adoption among small and medium enterprises.

Design, build, test, deploy, and operate secure, reliable, scalable software and services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, and deliver production-ready outcomes. Apply engineering best practices including code reviews, testing, CI/CD, observability, documentation, and security compliance. Develop reusable components, prototype rapidly, incorporate feedback, and collaborate with data science, product, design, and security teams. The role may involve AI and LLM-based solutions and travel up to 25%.

Leads strategic customer engagements focused on application modernization, AI, agentic solutions, and developer technologies. Designs architectures, demonstrations, proofs of concept, pilots, and hackathons using Azure, Microsoft Foundry, GitHub, containers, Kubernetes, APIs, data, and AI. Builds technical strategy, orchestrates Microsoft and partner resources, resolves technical blockers, mentors peers, develops reusable assets, and provides customer and market feedback to product and engineering teams.

Sell Microsoft security solutions to large enterprise customers by managing C-suite relationships, identifying opportunities, building security solutions and business cases, leading virtual teams, demonstrating cloud security architectures, coordinating partners, and driving deals from discovery through closure. The role includes pipeline management, forecasting, ROI and TCO analysis, revenue target attainment, and ongoing security product learning and certification.

Researches and applies advanced machine learning, NLP, and information retrieval techniques to improve Microsoft 365 Copilot Chat and Search quality. Responsibilities include developing vector retrieval and embedding solutions, analyzing user journeys and model behavior, evaluating search relevance, adapting large language models, and partnering with engineering and product teams. The role also involves building scalable evaluation tools, mining data for opportunities, and contributing to internal or published research.

Leads AI and security technology strategy for multinational media, advertising, and marketing accounts. Translates business priorities into Microsoft technology roadmaps, advises C-level executives, drives adoption and value from cloud, data, and AI solutions, supports commercial growth, and orchestrates Microsoft partners and customer teams. Requires strong technical consulting, consultative selling, digital transformation, and media-industry expertise.

Leads data center site integration, operational readiness, network and edge operations, and AI infrastructure deployment across EMEA. Manages multidisciplinary teams, vendors, budgets, risks, governance, and executive stakeholder alignment while ensuring safety, security, quality, compliance, availability, and environmental standards. Partners across engineering, construction, commissioning, deployment, and operations to transition new facilities into successful ongoing operations and drive continuous improvement.

Build and scale compute infrastructure for AI workloads across large GPU clusters. Responsibilities include cluster orchestration, workload scheduling, resource allocation, quota management, topology-aware placement, runtime initialization, fault recovery, observability, and utilization optimization. The role partners with researchers and model-development teams to deliver reliable infrastructure for distributed training and inference.

Support senior leaders through organizational growth, change, and transformation. Design workforce strategies, organizational structures, and operating models; improve team effectiveness and organizational health; lead talent planning, succession, hiring alignment, and capability development; identify talent risks using workforce insights; and build high-performing, accountable teams supporting AI engineering studios and customer outcomes.

Drive AI Workforce solution sales by engaging business decision-makers, understanding customer needs, developing account plans, and accelerating adoption of Microsoft 365 Copilot, Copilot Studio, and Copilot Agents. Lead consultative business and technology conversations, coordinate internal teams and partners, position solutions against competitors, identify growth opportunities, and manage solution strategy across assigned territories.