Top AI Jobs in London

Engage qualified prospects interested in Benchmark Gensuite’s EHS, sustainability, ESG, risk, and operational excellence software. Conduct discovery conversations, deliver tailored product demonstrations, answer commercial questions, guide evaluations, and build stakeholder relationships through conversion. Collaborate with Marketing, Solution Consultants, Customer Success, Product, and sales teams while maintaining accurate Salesforce pipeline records. Represent the company at meetings, webinars, conferences, and industry events, with occasional UK and European travel.

Leads Synthesia’s product marketing function across AI video, interactive avatars, APIs, and future products. Owns portfolio positioning, company narrative, launches, competitive strategy, buyer research, and messaging for sales, web, and campaigns. Manages and expands a team of five product marketers, drives enterprise go-to-market enablement, partners with senior stakeholders, and applies AI agents to automate marketing workflows such as research synthesis, competitive tracking, and launch operations.

Designs and delivers scalable modern big data platforms, including streaming, data lake, and lakehouse architectures. Advises senior client stakeholders on data strategies, cloud-native modernization, governance, analytics, and AI integration. Leads solution design, implementation, transformation initiatives, and technical collaboration across multiple sectors. Contributes thought leadership, reusable assets, and practice growth while aligning data platforms with measurable business outcomes.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

Design, build, and maintain AI agents and automated workflows for marketing. Identify automation opportunities, deploy and monitor agents, integrate with marketing tools, and report efficiency and business impact. Ensure data quality, privacy, and documentation, and enable marketing teams to adopt automations.

The role involves shaping data and AI strategies for financial institutions, guiding clients in harnessing AI for competitive advantage, and leading workshops to align stakeholders.

Lead technical direction for complex data science and machine learning projects, design production-grade solutions, define roadmaps, manage technical risk, support sales engagements, advise customers, establish best practices, and mentor data scientists and cross-functional teams.

Leads UK editorial teams producing legal case law content across digital and print formats. Oversees quality, accuracy, timeliness, completeness, cost effectiveness, and operational performance. Partners with commercial and product stakeholders, manages editorial metrics, and drives process improvement through automation, systems, and AI-enabled workflows. Supports innovation, productivity, performance management, and continuous improvement across online case law and Law Reports.

Serve as a customer-facing technical advisor for Snowflake, partnering with sales teams and channel partners throughout the sales cycle. Present solutions to technical and executive audiences, conduct demos and proofs of concept, design architectures, develop technical champions, and solve data-related business problems. Collaborate with Product, Engineering, Marketing, and implementation partners while staying current on Snowflake, cloud, data, and AI technologies.

Designs enterprise-grade cloud, data, and AI solutions for airline operations. Responsibilities include assessing technology landscapes, identifying modernization and integration opportunities, translating business priorities into technical architectures, creating solution blueprints and documentation, promoting enterprise architecture best practices, and guiding customer teams through transformation initiatives.

Lead complex B2B technology sales, personally originating and closing software development, AI consulting, digital transformation, and technology consulting engagements. Build C-suite relationships, manage consultative discovery, shape commercial propositions with technical teams, and grow strategic accounts. Take AI and Agentic AI capabilities to market while owning pipeline development, forecasting, qualification, negotiations, revenue targets, and sales process improvement.

Leads technology strategy, roadmap, governance, and delivery for digital marketing, content, web, analytics, and AI capabilities across Gilead’s Ex-US Commercial organization. Partners with Commercial, Medical, Legal, Compliance, and IT stakeholders to deliver scalable solutions using Salesforce Marketing Cloud, Veeva Vault PromoMats, AWS, Databricks, and other platforms. Owns product lifecycles, vendor management, demand planning, analytics, AI enablement, and compliant digital transformation.

Own and improve People Operations systems across HiBob, Ashby, and Remote. Build automations, workflows, and AI agents; maintain data integrity and integrations; manage onboarding and employee lifecycle changes; create SOPs; and establish validation, alerts, and compliance safeguards. The role partners with stakeholders on UK employment matters while continuously reducing manual work and improving process speed, accuracy, and employee experience.

Lead Chip’s company-wide AI and business transformation in partnership with the COO and leadership team. Identify operational inefficiencies, redesign workflows and operating models, prioritize AI and automation opportunities, and drive initiatives from discovery through implementation and measurable results. Improve accountability, execution visibility, decision-making, reporting, and organizational scalability while leading cross-functional teams and influencing senior stakeholders.

Lead large-scale technical initiatives and build scalable product functionality and infrastructure using TypeScript, React, and Node.js. Partner with product and design teams to develop privacy features for SaaS customers, make architectural tradeoffs, mentor engineers, support hiring, and establish engineering excellence across a growing organization.

Build and deploy production AI products for legal services, including agentic workflows, retrieval, evaluation harnesses, observability, APIs, integrations, and user interfaces. Develop maintainable Python and TypeScript code, implement secure enterprise patterns, and take AI features from prototyping through controlled production. Measure and improve quality, reliability, latency, and cost through testing, tracing, monitoring, and user feedback. Collaborate across product, data, technology, security, and multidisciplinary R&D teams.

Lead customer engagements building and productionizing AI and generative AI applications on Databricks. Responsibilities include architecture, technical delivery, client advisory, team leadership, workshops, MLOps, production pipelines, stakeholder communication, and technical enablement. The role requires strong Python, cloud, MLflow, Databricks, PySpark, SQL, Delta Lake, governance, LLM, and modern AI framework expertise in a consulting environment.

Build and deploy production AI systems within complex enterprise environments. Partner with engineers, architects, and technical leaders to identify opportunities, design architectures, translate ambiguous operational problems into solutions, and implement systems that improve operations. The role spans technical discovery, rapid prototyping, AI and agent orchestration, enterprise integrations, and production deployment, with emphasis on reliability, performance, security, and observability.

Leads Flo’s global PR and external communications strategy across corporate, consumer, product, scientific, and executive communications. Responsibilities include building reputation and media relationships, translating medical and technical subjects into accessible narratives, advising executives, managing crisis and issues communications, leading a global communications team, overseeing agencies and budgets, and coordinating communications across healthcare, technology, privacy, science, and public policy.

Owns the end-to-end international revenue and expense close under US GAAP for a global, multi-entity business. Leads balance sheet reconciliations, financial reporting, variance analysis, and accounting for complex commercial arrangements. Drives standardization, automation, and technology-enabled process improvements while partnering with finance, procurement, and commercial teams. Leads, coaches, and develops accounting professionals and provides technical accounting guidance to senior stakeholders.

Lead technical customer-facing GenAI engagements for EMEA digital-native and startup customers. Design and productionize LLM solutions including RAG, agents, fine-tuning, evaluation, safety, and MLOps on Databricks. Build proofs of concept and reference implementations, advise customer roadmaps, partner with Product and Engineering, mentor field teams, and represent Databricks through technical content and executive briefings.

Develops quality assurance strategies and automated testing frameworks for GenAI and agentic applications. Responsibilities include Python-based end-to-end testing, prompt regression testing, API, UI, performance, security, and adversarial testing, plus evaluation metrics for accuracy, relevance, safety, consistency, and latency. The role also builds monitoring and alerting systems, maintains test datasets, and establishes QA best practices for AI features.

Designs QA strategies, evaluation frameworks, quality metrics, and automated testing systems for GenAI and agentic applications. Develops Python-based end-to-end tests across APIs, UIs, performance, prompts, and regression scenarios. Performs adversarial testing for hallucinations, bias, and security issues; builds monitoring and alerting systems; maintains golden datasets; and establishes testing best practices for reliable, safe, and trustworthy AI features.

Lead AI-driven operational transformation across Legal, People, and FP&A. Identify workflow inefficiencies, design end-to-end solutions, and personally prototype and deploy AI agents, automations, integrations, and internal tools. Evaluate build-versus-buy decisions, advise on technology stacks, and ensure solutions include security, privacy, reliability, monitoring, auditability, human oversight, and change management. Partner with frontline teams, executives, and engineers to deliver measurable, maintainable internal products.

Own the AI and Automation product strategy, roadmap, discovery, delivery, adoption, and commercial outcomes across the insurance customer journey. Identify and prioritize AI use cases, translate business needs into product requirements, manage cross-functional delivery, build opportunity pipelines, support go-to-market efforts, and ensure responsible AI governance. The role also drives organizational adoption through training, playbooks, stakeholder engagement, and measurable value realization.