Top AI Jobs in London

The Product Manager will own the Antare Console platform, focusing on user experience, customer relations, and strategic product direction, utilizing AI for real-time decision-making and prototyping.

Embed with customer teams to map how work actually happens, scope and run AI deployments from data pulls to measured results, prototype with users, manage stakeholders, and feed actionable findings to product and engineering.

Lead the design and development of LSEG's AWS AI platform, ensuring security, scalability, and governance while mentoring engineering teams.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

The Lead Engineer will develop secure, scalable backend and frontend systems, establish coding standards, mentor engineers, and lead AI integration efforts while ensuring quality delivery.

Partner with OpenAI research teams to define hiring priorities and execute strategic searches for top AI/ML researchers and technical scientists. Proactively source and cultivate talent across industry and academia, influence compensation and leveling, advise on candidate evaluation and closing, and collaborate with sourcing partners on complex, high-impact hires.

Lead AI-enabled manufacturing product strategy and roadmap, drive discovery, prototyping, and customer validation. Own end-to-end lifecycle from concept to scale, align engineering and GTM, prioritize for measurable operational and commercial impact, and champion AI-first innovation to optimize manufacturing workflows and adoption.

Own acquisition, onboarding, and activation for JetBrains AI. Improve product entry points, trials, demos, and onboarding flows. Lead experiments, analyze funnels and cohorts, remove friction, and partner with design, engineering, analytics, marketing, and monetization to drive activation and conversion.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

Lead design and delivery of AI-powered features for CLion and C++ workflows. Architect AI integrations and agent tools, prototype and validate debugging, code-understanding, refactoring, and navigation workflows, build benchmarks and evaluation frameworks, and collaborate with product, ML, QA, and engineering teams to set technical direction and roadmap for AI-assisted C++ development.

Create high-end photoreal CGI, VFX and AI-enhanced imagery by modelling, animating, simulating, texturing, lighting and rendering. Build and maintain generative AI workflows, write VEX and Python automation for Houdini, integrate 3D and AI assets into the post-production pipeline, and collaborate with the creative team to deliver scalable, luxury beauty content.

Design and implement scalable GTM systems, AI-powered automation, and integrations across Sales, Marketing, Customer Success, and RevOps. Own revenue data modeling, Salesforce integrations, data quality, and AI workflows that automate lead qualification, forecasting, and renewal processes. Partner with commercial leaders to translate strategy into reliable, maintainable systems that reduce manual work and improve decision-making.

Lead design and delivery of production AI agent systems end-to-end: architecture, context/retrieval strategies, tool integrations, evaluation pipelines, and full-stack implementation. Drive technical direction, mentor engineers, and use Claude Code as the primary development workflow to embed AI across the company.

Lead architecture and delivery of production multi-agent AI systems: agent orchestration, context strategy, tool integrations, evaluation pipelines, cost engineering, and platform integrations. Ship end-to-end agentic features, set organisation-wide engineering patterns, mentor engineers, and collaborate across product, design, compliance, and engineering teams.

Design, build, and own agentic LLM workflows and backend services powering an AI copilot for blockchain investigations. Lead architecture, tool integrations, retrieval pipelines, evaluations, and mentoring. Ship production-ready LLM features with strong testing, observability, and reliability practices while collaborating across product, web, data, and DevOps teams.

Lead architecture and delivery of cloud data platforms, designing batch and streaming pipelines, data models, and governance. Advise executives, integrate LLMs/AI and MLOps, modernise AWS/Azure/GCP infrastructure, shape technical strategy, and mentor multi-squad teams to deliver business-focused data and AI solutions.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.

Design and build AI-driven interactive prototypes and production-ready flows using AI coding tools. Own prompt-to-pipeline solutions, validate via experiments and user research, produce high-fidelity UX in Figma, and collaborate with engineering to move prototypes to production while aligning business, design, and tech.

The Staff AI Engineer will build, deploy, and maintain AI applications, manage data pipelines, and lead technical designs while mentoring engineers.

Lead product vision and execution for enterprise AI services within Snowflake Cortex. Own roadmap, translate bespoke customer solutions into scalable features, partner cross-functionally with engineering, design, GTM, and customers, and drive commercialization and go-to-market for AI solutions.

Own end-to-end enterprise sales in the Nordics/UK for a security platform that maps internet-exposed assets and runs automated AI penetration testing and DAST. Build territory plan and pipeline, engage technical buyers (CISOs, AppSec, Security Engineers), run demos and POCs with Sales Engineering, close complex six-figure ACV deals, and establish regional playbooks and partnerships.

Lead development and implementation of a global marketing AI strategy. Map and optimize marketing processes, architect AI-driven workflows, evaluate MarTech and agency AI capabilities, partner with IT/data teams, operationalize governance, and drive cross-functional adoption and change management to scale AI-enabled marketing globally.

The role involves owning end-to-end automation delivery in a hedge fund, focusing on RPA and AI integration using UiPath in legal and compliance environments.

Provide on-demand coaching and small-group training to accelerate employee adoption of enterprise generative AI tools (Microsoft Copilot, Gemini, Claude). Develop micro-training, troubleshoot prompts, collect feedback, monitor usage, and educate staff on AI governance, data privacy, and safe guardrails to drive secure, practical task-level integration.

Deliver and operationalize AI learning and adoption programs across the firm: run workshops, cohorts, office hours, champion activities, learner support, stakeholder engagement, learning operations, and measurement to embed responsible AI into workflows and drive adoption.