Top AI Jobs in London

Lead quality engineering across product teams with an automation-first approach: build test frameworks, CI tooling, AI-assisted testing agents, performance benchmarks, reliable E2E suites, reduce flakiness, drive shift-left quality, and close the loop with observability to improve SLOs and reduce incidents.

Lead quality engineering across product teams with an automation-first approach: build test frameworks, AI-assisted testing agents, CI tooling, SLOs, performance benchmarks, reduce flakiness, improve test data and environments, and partner with product and engineering to prevent defects and close the loop on production issues.

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.

Conduct deep technical research to identify novel risks and attack vectors in cloud- and AI-native architectures, produce proofs-of-risk and technical POCs, and partner with Product and Engineering to translate findings into product capabilities.

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 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.

Own the AI platform roadmap and build reusable capabilities (prompting, RAG, tool calling, agents, evaluation, observability). Run discovery, prioritize AI investments, partner with Product, Engineering, Design and Data, guide other PMs, define success metrics, and ensure scalable, reliable AI-powered features that deliver customer and business value.

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.

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.

Lead AI strategy engagements: identify high-impact AI use cases, design AI roadmaps, estimate ROI, oversee large-scale transformation programs, manage cross-functional teams, advise C-suite, and perform commercial and technical due diligence on AI targets.

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.

Lead and own the AI agenda for Commercial: identify, prioritise and implement AI use cases that deliver commercial value. Drive PoC-to-scale implementation, embed AI into processes, define governance and success metrics, and upskill stakeholders while partnering with Product, Technology and business leaders.

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.