Top AI Jobs in London

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

As an AI Engineer, you will architect, develop, and deploy scalable AI applications, collaborating with teams to implement AI solutions that drive enterprise productivity and innovation.

As a Senior Software Engineer I, you'll design, develop, and deliver the Axon Alerts platform, ensuring timely notifications and operational excellence while mentoring junior engineers.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

The Managing Consultant will develop AI-driven transformation strategies for financial services, overseeing client engagements and business development while leveraging industry connections and expertise.

This role involves collaborating with AI sales, providing expertise in AI technology, advocating for customers, and educating teams on AI applications and security.

Design, build, and deploy AI-powered solutions (LLMs, RAG, agents) to improve productivity and operational efficiency. Partner with business teams to define use cases, integrate AI with enterprise systems, create production-ready prototypes, and ensure solutions meet governance, security, and responsible AI standards.

Lead development of production-grade agentic and LLM-powered systems: identify high-value AI opportunities, turn POCs into live agents, design resilient infrastructure and governance, build shared frameworks, and train teams to safely scale AI across the product.

Build a production-ready web crawling and AI lead-qualification application: crawl and extract website content, analyze with LLMs to score/qualify industry-specific leads, produce structured outputs, and deliver a maintainable handover-ready product.

Lead the technical architecture and integration of enterprise-grade AI platforms (semantic search, RAG, generative/agentic systems), embed Responsible AI governance, manage risk/value trade-offs, enable zero-dependency handover through capability uplift, and design energy-efficient AI infrastructure across legacy and multi-cloud environments.

Design and build application-level AI features: implement RAG pipelines, prompt templates, retrieval strategies, and agentic workflows; integrate LLM-based functionality with legacy and multi-cloud systems; run structured evaluations, apply human-in-the-loop guardrails, and produce docs-as-code for handover to government engineers.

Hands-on Lead AI Engineer to design, build, and operate production-grade RAG, semantic search, embedding, and LLM orchestration systems in a UK government programme. Mentor engineers, implement Responsible AI guardrails, ensure security/observability, and enable capability transfer using Docs-as-Code and iterative delivery.

As a Software Engineer for AI Product at Figma, you'll build collaborative tools, lead AI projects, and work cross-functionally to enhance design accessibility and usability.

Own end-to-end implementation and product development for strategic enterprise accounts, design AI evaluation frameworks and prompts, build agentic AI workflows and internal tooling, run UAT and track production analytics, and collaborate with engineering, design, and client teams including on-site client visits.

Lead design, build, and scaling of AI-powered features across the platform. Prototype, ship, and optimise end-to-end production systems; work closely with clinicians and customers; use analytics and user research to measure impact and prioritise work tied to commercial outcomes.

Lead analysis and specification of agentic workflows, prompts, and decision logic for GenAI automation in insurance. Translate business needs into functional requirements and user stories, validate AI outputs with data, run workshops, support development, QA and UAT, mentor junior BAs, and help productise scalable use cases while collaborating with UI/UX, product and stakeholders.

Lead evaluations of data center readiness for high-density AI deployment, ensuring compliance with construction and technical standards across various global regions.

Design and govern end-to-end GenAI architectures on Azure for insurance use cases. Build LLM-centric platforms (OCR, RAG, agentic workflows), define prompt and evaluation frameworks, lead implementation teams, ensure scalability, security, cost optimization, auditability, and regulatory alignment. Mentor .NET, React, and GenAI developers and partner with business stakeholders across underwriting, claims, and reinsurance.

Own and drive the AI SDR program end-to-end across regions: set direction, optimize agent-human handoffs, improve pipeline and ROI, automate reporting, resolve SDR pain points, and launch new agentic programs. Partner with ops and sales teams to target enrollment, define workflows, and prove measurable impact.

Lead design and delivery of AI-enabled supply chain planning solutions using Kinaxis Maestro. Own solution architecture for forecasting, intelligent workbooks, autonomous agents, integrations, and deployment. Partner with planning and business leaders to define use cases, data architecture, governance, and adoption while mentoring teams and ensuring end-to-end delivery and hypercare.

Build and deploy agentic systems and orchestration layers to accelerate engineering delivery. Develop and maintain an internal AI enablement hub, integrate agentic testing into CI/CD pipelines, evaluate build-vs-buy decisions, and drive cross-team AI initiatives to improve productivity and product quality.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

Lead design and scaling of legal AI evaluation frameworks and benchmarks, build and maintain datasets, audit and score AI legal outputs, define metrics focused on reasoning and citation accuracy, and collaborate with engineering to translate legal errors into model fine-tuning feedback.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.