Top AI Jobs in London

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.

Build and maintain components of production AI systems: RAG and agent workflows, data pipelines, embeddings and retrieval, testing and evaluation, and API integrations. Write Python and SQL for data processing and automation, support cloud deployments, collaborate with research and product teams, and document engineering work while applying best practices for CI/CD, testing, and data governance.

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.

Deliver and deploy ML and generative AI solutions across industries: design experiments, build production-scale models, identify business use cases, drive measurable value, consult with clients, and mentor team members.

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.

Lead technical pre-sales engagements for Databricks, demoing Spark and data/AI solutions, building architectures, authoring reference materials, and collaborating with account teams to design and deliver customised proofs-of-concept and workshops.

Hunter-focused enterprise sales role responsible for new business acquisition (80%) and account expansion (20%) selling consulting and technology solutions for Financial Crime, AML, KYC, fraud prevention, risk analytics, data engineering, AI/ML, and cloud transformation. Own full sales cycle, build executive relationships, manage pipeline in CRM, collaborate with delivery and solutions teams, and consistently meet revenue targets while representing the company at industry events.

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.

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.

Lead design and delivery of an enterprise AI learning and adoption system. Build role-based learning pathways, deployment playbooks, prompt resources, champion and builder enablement, manager toolkits, and measurement frameworks. Partner with IT, Risk, Legal, Compliance and business leaders to ensure safe, compliant use of approved AI tools and embed learning into onboarding, platforms and workflows to drive measurable adoption and impact.

14-week PhD research internship to optimise, deploy, and evaluate video-capable vision-language models for on-device intelligent captioning. Responsibilities include model selection, quantisation/pruning/distillation, hardware-specific compilation, deployment on mobile hardware, comparative and human evaluation, documentation, and delivering a prototype plus patent and paper-ready results.

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.

Serve as primary cybersecurity advisor to business units: align security with strategic goals, identify and assess cyber risks, advise on controls and regulatory requirements (NIST/ISO/CIS), support governance and audits, and drive security awareness and vendor risk practices.

Develop original concepts and produce static, motion, and AI-generated assets from brief to finished, channel-ready deliverables. Design and animate social, display and print assets, storyboard and collaborate with copywriters, strategists, video editors and regional marketing. Use AI image/video generation tools as part of production, maintaining on-brand work across multiple concurrent campaigns.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Lead technology and AI strategy for the AI Business Solutions practice, focusing on Dynamics 365, Power Platform and Microsoft AI. Define architecture, governance, repeatable Copilot/agent patterns, and technical standards; engage C-suite customers and Microsoft; drive capability investment, IP/accelerators, and senior technical capability development to scale commercially viable AI solutions.