Top AI Jobs in London

Leads enterprise technology strategy across EMEA by advising C-suite customers, developing solution architectures and AI use cases, supporting strategic sales opportunities, shaping product roadmaps, and creating scalable sales engineering enablement. The role connects Product, Engineering, Sales, and Customer Success while representing Qualtrics through executive workshops, industry events, analyst briefings, and thought leadership.

Strategically partner with senior stakeholders and department leads on financial planning, forecasting, cost management, and decision-making. Build financial models, reports, and cost-analysis frameworks; forecast headcount and operating expenses; analyze actuals versus forecasts; identify risks and opportunities; implement cost controls; and communicate financial results and insights to leadership. The role requires strong stakeholder management, financial analysis, project management, and communication skills.

Manage enterprise customer portfolios by implementing and optimizing monday.com workflows, AI capabilities, automations, and governance practices. Serve as a trusted technical advisor to senior stakeholders, lead platform audits and architecture reviews, demonstrate business value, drive adoption, manage renewals and ARR growth, and mitigate churn risks. Gather customer feedback for product and engineering teams while delivering hands-on technical enablement and strategic account planning.

Manage strategic relationships and generate new business across major HSBC accounts. Lead executive engagement, global account growth, virtual cross-functional teams, solution development, customer roadmaps, and worldwide resource deployment. Drive licenses, renewals, and professional services revenue while achieving financial targets. The role requires extensive client management and enterprise software sales experience, executive-level relationship building, matrixed team leadership, and understanding of broad IT business needs. Travel may reach 50%, depending on geography.

Designs and deploys AI, LLM, generative AI, and machine learning solutions for credit trading workflows. Responsibilities include generating trading signals, optimizing portfolios, identifying credit exposures and hedging strategies, automating risk and position reporting, and developing trade-support infrastructure. The role collaborates with model control teams and global quantitative research groups to support compliance, portfolio management, and digital transformation.

Own EMEA payments marketing strategy focused on corporates and fintechs. Build integrated, full-funnel growth campaigns; develop positioning, messaging, client assets, and sales enablement; manage stakeholders, agencies, and vendors; establish KPIs; and optimize targeting, channels, and performance through data-driven insights. Partner closely with product, sales, coverage, country, and global marketing teams to drive demand, client penetration, and revenue growth.

Analyse and optimise portfolio commercial performance, develop growth strategies, monitor client budgets and ROI, and identify market opportunities. The role partners with Sales, Marketing, Technology, and other teams to improve profitability and client satisfaction. Responsibilities include competitor analysis, digital marketing and monetisation analysis, process improvement, meeting leadership, presentations, and using Looker, machine learning, and AI tools to monitor performance and support strategic decisions.

Leads Datadog’s EMEA public relations and corporate communications strategy, including media relations, product launches, executive profiling, thought leadership, reputation management, agency oversight, and communications measurement. Partners with global Communications, Marketing, Sales, and regional leaders to create locally relevant stories across technology, security, and AI markets. The role also manages regional events, urgent media responses, budgets, and communications programs across multiple EMEA countries.

Drive new business and revenue growth across the Nordic territory by generating pipeline, managing complex SaaS sales cycles, forecasting accurately, presenting solutions, negotiating with technical and executive stakeholders, and closing strategic accounts. The role also involves account relationship management, collaboration with marketing, product, customer success, and channel teams, Salesforce data integrity, and use of structured sales methodologies such as MEDDICC.

Leads strategic planning, governance, investment management, financial planning, vendor strategy, organizational resilience, and transformation initiatives across a global technology organization. Partners with senior Technology, Finance, and Business leaders to improve operating models, technology efficiency, scalability, and value realization from AI and modernization investments. Provides executive-level insights, metrics, and recommendations while leading cross-functional strategic programs.

Lead product analytics for customer onboarding and account access. Derive insights from data, guide product decisions, partner with product managers, engineers, and designers, and identify opportunities to improve customer experience while preventing fraud. Build data pipelines, dashboards, and KPI reporting systems; communicate findings across teams; and explore AI-driven automation and machine learning techniques to improve analytics and generate insights.

Leads AI and Generative AI consulting engagements for pharmaceutical, biotech, and healthcare clients. Owns client workstreams, translates business challenges into AI strategies and transformation roadmaps, develops operating models and governance programs, and synthesizes research into executive recommendations. Partners with technical teams to align solutions with commercial objectives, manages engagement delivery, coaches junior consultants, and supports business development and thought leadership.

Lead Altana’s Policy & National Security public-sector business globally. Own revenue growth, sales pipeline, forecasting, agency relationships, partner strategy, and complex government pursuits. Shape opportunities with senior stakeholders, guide contracting strategies, coordinate cross-functional teams, and translate policy, budget, and agency signals into product and company strategy. The role requires deep public-sector sales leadership, government procurement expertise, strong networks, and eligibility to obtain and hold a U.S. security clearance.

Leads cybersecurity architecture for cloud-based applications and enterprise systems. Defines target architecture, identifies and mitigates risks, automates recurring remediation, evaluates emerging technologies and vendors, and drives AI-assisted security validation across SDLC toolchains. Collaborates with technical teams and senior business stakeholders while ensuring security, resiliency, auditability, and data-sensitivity requirements are met.

Own the global non-Google SEM portfolio across Bing, Yahoo Japan, and Naver. Develop campaign structures, testing frameworks, optimization playbooks, dashboards, automation, and AI-powered workflows. Partner with Product, Engineering, Data Science, and Operations to define technical roadmaps and solutions. Serve as a search marketing subject matter expert, influence external partner roadmaps, present performance recommendations to leadership, mentor colleagues, and build organizational capability.

Manage strategic cybersecurity and data protection vendor partnerships to drive revenue, profitability, and market awareness. Develop partner-led go-to-market strategies, business plans, and commercial programs; identify growth opportunities; enable sales and presales teams; maintain executive-level relationships; manage accreditations; and track revenue, profitability, and strategic KPIs across partner portfolios.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Manage enterprise customer relationships, serving as a trusted advisor and developing customized success plans. Drive retention, expansion, upgrades, and revenue growth across email, SMS, and digital channels. Review customer performance, resolve issues, communicate product updates, provide software guidance, and share feedback with Product and Engineering. The role requires consultative marketing technology expertise, commercial confidence, creative problem-solving, and collaboration in a hybrid London environment.

Design, develop, and maintain secure, scalable software solutions as a seasoned agile team member. Produce high-quality production code, architecture/design artifacts, data visualizations, and troubleshooting. Use CI/CD, resilient application patterns, enterprise AI-assisted development tools, and validate AI outputs. Contribute to engineering communities and improve code hygiene and system architecture.

Lead an applied AI team building and deploying agentic automation for banking operations. Own shared AI capabilities, orchestration, evaluation, and human-agent workflows while directing end-to-end production delivery under governance. Mentor AI engineers, establish technical direction, align cross-functional teams, manage senior stakeholders, and measure agent autonomy and human involvement. The role requires hands-on AI engineering, production agentic systems experience, strong software engineering foundations, and leadership in complex regulated environments.

Develop and deliver production AI/ML solutions across the full lifecycle using Agile methodologies. Translate business requirements into technical specifications, build secure production code and algorithms, create architecture artifacts, analyze large datasets, develop visualizations, troubleshoot systems, and identify improvements. The role requires expertise in machine learning, Python, Spark, distributed computing, AI frameworks, agentic workflows, and AWS services, while contributing to engineering communities and emerging technology initiatives.

Conduct research on AI compute, machine learning algorithms, large language models, efficient inference, numerics, world models, molecule generation, or model safety. Implement models and algorithms in Python or C++, design and analyze experiments using frameworks such as PyTorch, and communicate findings through technical presentations or research papers under experienced mentorship.

Leads enterprise AI and process transformation engagements for Fortune 500 customers. Translates strategic priorities into Celonis use cases, prototypes, business cases, value workshops, and transformation roadmaps. Advises on IT and AI strategy, identifies process improvement opportunities, manages customer value journeys, and presents results to executives. The role combines consulting, program management, SQL/Python analysis, process improvement, stakeholder management, and customer adoption, expansion, and renewal responsibilities.

Leads software engineering strategy and development for AI/ML data platforms. Designs reusable frameworks, architects governed agentic AI development workflows, builds secure and scalable cloud-native applications, and operates 24x7 tier-1 services. Influences technical, product, and business leaders; drives adoption of engineering methods, responsible AI controls, automation, and platform capabilities across teams.