Top AI Jobs in London

Lead pre-sales for managed services: capture client needs, design AI/cloud-managed service solutions, develop proposals, pricing and contracts, pitch and close deals, create reusable assets, and mentor teams.

Design, build, and deploy Python-based microservice APIs that call LLMs and generative models to automate business processes and support game services. Translate business requirements into API specs, integrate services across systems, collaborate with DevOps for cloud deployments, optimize AI model performance, write and debug core AI code, and communicate with cross-functional stakeholders.

Design end-to-end AI-powered product experiences, from discovery through production. Partner with Product, Engineering, Research and stakeholders to prototype, validate, and define multi-touchpoint journeys that surface non-deterministic AI outputs responsibly within regulated environments.

Manage the Onboarding Risk team across regions, ensuring high-quality risk decisions, developing team members, and owning onboarding risk procedures. Support complex escalations, collaborate cross-functionally, and keep processes compliant with card scheme rules and payments legislation while improving KPIs and decision frameworks.

Lead AI product vision and roadmap for AI-enabled transformation. Translate complex business problems into product hypotheses, MVPs, prototypes, and delivery plans. Partner with engineering, data, design, risk, and stakeholders to build governed, production-ready LLM, automation, and decision-support solutions. Define success metrics, run experiments, ensure responsible AI practices, and mentor a multidisciplinary team to drive adoption and measurable outcomes.

Lead global strategy and execution of AI-driven media governance, ensuring transparency, brand safety, and investment integrity. Build policies, oversight protocols, dashboards, and contractual terms for agencies and platforms while embedding compliance, AI literacy, and automated governance operations across markets.

Lead end-to-end UX/UI design for a data security SaaS product. Conduct generative and evaluative research, create wireframes and high-fidelity prototypes, partner with product and engineering, build design systems, and drive usability testing and design standards across teams.

Work with enterprise customers to identify problems, design and build LLM-powered agentic systems, ship solutions to production, drive adoption, and contribute reusable context-learning and evaluation components to the platform.

Lead design and scaling of enterprise AI, ML, and cloud data platforms for UK & Ireland. Define AI strategy, architect generative/agentic AI and MLOps solutions, drive multi-cloud implementations (AWS, GCP), partner with cross-functional teams, deliver measurable commercial impact, and advise executive leadership while representing the organisation externally.

Design, build, and launch natural-sounding production AI voices for European locales. Record and edit talent, tune voices on Sierra's platform using CLI and code-level tweaks, partner with customers to translate brand needs into voice specs, manage language contractors, and inform platform roadmap to improve voice tooling and measurement.

Lead and build Checkatrade's AI Services business end-to-end: define strategy and roadmap, own P&L, identify AI-driven revenue opportunities, partner with product/engineering/data, recruit and lead cross-functional teams, manage third-party AI partners, and embed AI across the organisation while overseeing regulatory and ethical considerations.

Lead end-to-end product design for multi-device, AI-enabled experiences: research, ideation, prototyping, validation, and delivery. Define AI-driven personalization and adaptive interfaces, collaborate with product, engineering, and hardware teams, use modern prototyping and telemetry-informed research, evolve multi-modal design systems, and champion accessibility, privacy, and design excellence through mentorship and cross-team collaboration.

Define and build Fuse's inference-serving architecture and stack, including request routing, batching, scheduling, and autoscaling for latency-sensitive workloads. Own model-level optimizations (quantisation, distillation, speculative decoding), translate performance SLAs into capacity plans, and integrate low-level GPU/CUDA performance work with serving infrastructure. Set benchmarks, tooling, and act as technical owner of inference performance and reliability.

The AI Engineer designs and implements AI solutions, transforms business requirements into AI assistants, and ensures integration with existing systems while supporting data processing and monitoring.

Lead the customer-facing conversational agent across chat and voice: own roadmap, design conversations and interfaces in Figma, build prototypes, define agent behavior and quality metrics, partner with enterprise clients and implementation teams, and iterate from production conversation data to improve resolution, containment, and escalation.

Lead and develop a team of Software Development Solution Engineers to drive enterprise adoption of Azure and GitHub developer platforms, GitHub Copilot, and security/DevOps practices. Coach technical presales, build reusable plays and demos, engage senior technical decision-makers, inspect pipeline execution, resolve escalations, and align product and go-to-market strategies to achieve measurable adoption and developer productivity outcomes.

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Design, build, test and deploy machine learning and generative AI models for production; prepare and refine datasets; integrate AI services with applications and cloud; document models, pipelines and APIs; monitor, evaluate and improve model performance; collaborate with engineers, data specialists and business teams.

Build, deploy and maintain purpose-built AI agents and LLM integrations for product processes. Connect data sources, design prompts, validate outputs, and ensure reliability and scalability of automations and shared tooling for the product team.

Embed with customers to model and solve large-scale scheduling and resource-planning problems. Configure, extend, and debug the .NET/Angular-based scheduling engine, ship working solutions under tight deadlines, and translate field learnings into core product improvements. Combine applied optimization, production AI techniques, and customer engagement to meet performance targets.

Lead product strategy and roadmap for AI, data, and integration capabilities across Trade and Channels. Manage full product lifecycle, define data and API requirements, identify AI/ML and automation use cases, ensure scalability and governance, drive cross-functional initiatives, support go-to-market and adoption, and provide executive reporting.

Design, build, and deploy AI and automation solutions to accelerate clinical trial data workflows. Develop scalable document processing, data extraction, and analytical tools, ensure regulatory and data-quality compliance, and provide technical leadership to drive adoption across scientific teams.

Lead strategic applied-AI product initiatives for the business line: plan, design, implement, integrate and measure solutions; advise on strategy, drive operational improvements, and develop transformation roadmaps.

Lead AI-enabled product strategy and delivery: translate business needs into requirements, coordinate cross-functional teams to build prototypes and production-ready AI/LLM solutions, ensure responsible AI, measure outcomes, mentor colleagues, and drive adoption in regulated enterprise environments.

Conduct independent, governance-focused research on AI scheming and loss-of-control risks; produce reports, papers, legal analyses; collaborate with technical teams, policymakers, and external researchers; mentor junior researchers and shape team strategy.