Top AI Jobs in London

Lead design and delivery of production-grade AI systems and Digital Workers. Embed with enterprise clients to translate workflows into scalable agentic architectures combining LLMs, RAG, multi-agent orchestration, retrieval, and cloud integration. Own end-to-end technical delivery, guide engineering teams, set technical direction, and ensure reliability and performance in production.

Build and deploy production-grade autonomous AI systems (Digital Workers) for enterprises. Embed with clients to map workflows, integrate models, data, and infrastructure, and deliver scalable agentic solutions using LLMs, RAG, multi-agent coordination, orchestration, and cloud platforms.

Lead end-to-end finance systems and operations: own an AI-native ERP migration, integrations (CRM, HRIS, banks, Carta), automate close and AP/treasury/equity workflows, build FP&A data layer and quote-to-cash, and deploy internal AI Digital Workers to streamline finance and RevOps.

The AI Portfolio Lead will develop AI product offerings, analyze market trends, manage curriculum, and ensure high-quality learning experiences while influencing policies and stakeholder engagement.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

The Principal Software Engineer will architect AI-enabled platforms, mentor senior engineers, and lead cross-team architectural discussions, with a focus on secure, scalable solutions on AWS.

Embed with Portfolio Management and Analytics teams to deploy and enable LLM-based assistants, agentic workflows, and RAG solutions; deliver training and documentation; gather and prioritize user requirements for the PM AI platform; and provide first-line European-hours production support for Lane Assist/POET, triaging and resolving issues.

Lead and grow an AI Platform engineering team that builds shared ML infrastructure powering Flo's AI features. Own roadmap, coordinate cross-team delivery, provide technical stewardship (~20% hands-on), ensure safety and medical compliance, and act as primary stakeholder contact and partner representative.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

Own and evolve production voice AI systems across telephony, speech, and LLM stacks. Build, ship, and scale phone agents; implement observability, evaluation, and tooling; collaborate cross-functionally to integrate voice AI into product workflows.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

Lead the agency's AI and automation strategy and delivery: drive Claude/LLM adoption, build workflow automations and integrations, train teams, partner with IT, measure ROI, and embed scalable processes and documentation.

Forward-deployed AI enablement engineer who partners with commercial, marketing, ops, finance and product teams to map processes, prioritise opportunities, build Claude Code agents and integrations, measure value, and upskill teams to adopt AI-driven tooling. Works with engineering, data and platform teams to productise useful internal automations and surface product enhancements.

Freelance AI Engineer to design, develop, and deploy AI and machine learning solutions. Responsibilities include algorithm development, data analysis, building production-ready models, and contributing to the platform's AI initiatives in a fully remote capacity.

Hunt and build the EMEA robotics and physical AI business: execute GTM strategy, prospect and open net-new accounts, orchestrate partner ecosystems, lead complex technical-commercial programs from validation to close, run marketing and demand-generation initiatives, and represent the company at industry events. Requires technical advising with engineering teams and up to 25% travel across EMEA.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Build and deploy production-ready AI/ML systems across the full lifecycle, including agentic systems (RAG, prompt engineering), non-GenAI models (recommenders, forecasting), APIs/microservices, CI/CD and IaC, monitoring and guardrails, and cross-functional collaboration to ensure scalable, secure, and observable ML solutions.

Own vision, strategy and roadmap for LSEG's AI Core Platform. Deliver secure, scalable platform capabilities (AI Gateway, MCP SDK, IAM, orchestration), define APIs and standards, partner with engineering, security and product teams, drive enterprise adoption, monitor platform metrics and developer experience, and engage cloud and technology partners to enable AI at scale across LSEG.

Mentor apprentices on an AI Champion programme by assessing progress, supporting portfolio development and EPA preparation, providing technical advice and regular feedback, contributing to curriculum content, safeguarding learners, and liaising with employers and the Delivery Team to drive AI adoption.

Lead design and delivery of production LLM-powered agent systems and firm-wide agent standards. Build reference agent apps, connect agents to internal data/APIs, establish security and governance for AI, adopt deployment and observability infrastructure, and partner with stakeholders to identify high-value use cases.

Lead AI-focused presales pursuits for ERP/EAM/FSM, translate AI capabilities into domain-specific solutions, create demos and proof-of-value, mentor presales, shape GTM strategy, and collaborate cross-functionally to drive technical wins and portfolio adoption.

The Commercial Associate will engage in outbound sales strategies, account prioritization, and collaborate with Account Executives to drive opportunities, aiming for fast growth and skill development in a technical B2B environment.

Lead AI strategy, integration, and productization across research, consulting, and corporate workflows. Support AI product development, testing, vendor due diligence, documentation, training, and internal advisory to scale AI-driven tools and ensure ethical, effective adoption across teams.

Design, build and maintain modular, scalable, performant backend systems across the full software lifecycle; diagnose and resolve system issues; mentor junior engineers; collaborate with product and cross-functional teams; iterate quickly to deliver customer-focused features.

Mentor apprenticeship learners to identify and implement AI-driven workflow improvements, assess progress against the apprenticeship standard, support portfolio and EPA preparation, provide technical support and mentoring sessions, report learner progress, and uphold safeguarding and equality responsibilities.