Top AI Jobs in London

Lead EMEA go-to-market for Physical AI by sourcing executive-level pipeline, accelerating top accounts, building EMEA-specific playbooks, enabling regional sales, and converting lighthouse wins into sustained cloud consumption across robotics, autonomy, simulation, and related AI-native industries.

Lead the strategic direction of Paid Search and AI advertising across international accounts. Develop cross-channel, full-funnel strategies, embed a testing-and-learning culture, evaluate emerging AI ad formats (including ChatGPT), provide client-facing strategic consulting, lead and mentor the SEA team, and drive pitches, presentations, and operational initiatives for scalable performance.

As an AI/ML Software Engineer, you'll develop systems that transform audio and video data into structured insights, focusing on prompt engineering, agent systems, and model optimization.

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.

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.

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.

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.

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.

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.

Full-stack AI/ML Software Engineer to build HealthTech SaaS microservices, implement and integrate ML solutions, write high-quality code, author documentation, perform code reviews, and act as an SME on services and systems.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

Lead Mark43's AI-enabled engineering initiative by designing and orchestrating multi-agent systems that plan, write, review, test, and deploy software. Write prompts, scaffolding, and tool integrations (VCS, test runners, internal APIs), evaluate agent performance, prototype LLM-based workflows, collaborate cross-functionally, mentor teammates, and contribute to on-call rotations.

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.

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.

Serve as technical authority for AI infrastructure solutions, guiding customers from use-case ideation to implementation. Architect scalable, secure AI-optimized networking, compute, and observability environments; run proofs-of-value; align Ciscos AI stack with partners; influence product roadmap and represent Cisco externally. Work closely with account executives and C-suite stakeholders to drive technical sales and complex deal cycles.