Top AI Jobs in London

Leads research and client advisory on emerging AI data security and AI ecosystem data management trends. Develops research reports, presentations, briefings, and tailored recommendations for technology executives and product leaders. Analyzes technologies, vendors, markets, and competitive landscapes; builds expert networks; delivers client inquiries and speaking engagements; and collaborates with analysts and service teams to ensure high-quality research. The role requires deep cybersecurity and AI data expertise, strong writing and presentation skills, executive presence, and up to 25% travel.

Lead adoption and scaling of Generative AI and ML within Treasury, design and deliver AI/ML solutions (liquidity forecasting, capital optimisation, risk), migrate systems to secure scalable cloud, champion data governance, ensure automated testing, and mentor engineers while aligning stakeholders and driving innovation.

Lead customer-facing data science and AI projects for commodity markets: identify high-impact opportunities, prototype and deploy ML/AI solutions (including LLMs and agentic approaches), measure business impact, collaborate with product, engineering and domain experts, and share learnings to shape ICIS data and AI products.

Hands-on Staff Engineer who designs, builds, and deploys AI agents and LLM-based automation to redesign and automate the deal approval process. Integrate solutions with CRM, ERP, and finance data sources, own delivery end-to-end from prototype to production, and drive AI adoption and governance within Commercial Finance to reduce cycle time and manual work.

Senior client-facing consulting leader for Energy & Infrastructure who originates and leads AI- and data-enabled transformation engagements across UK/EMEA. Drives go-to-market, shapes solutions from discovery through delivery, leads multidisciplinary teams, owns P&L and pricing, and grows pipeline, revenue and margins while delivering measurable operational and commercial value for E&I clients.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

The AI Legal Specialist will oversee compliance with AI and e-commerce laws, manage legal documentation, and conduct legal assessments alongside an Ethics and Compliance Officer.

Lead AI and RPA-driven productivity improvements across Automation & Digital. Design and pilot scalable workflows, run Kaizen/DBS workshops, develop KPIs/dashboards, analyze operational data to drive efficiency, and enable cross-functional adoption to increase throughput and reduce operational costs.

Lead development and deployment of multimodal neural search and ranking models for personalized learning. Conduct research, prototype and productionize deep learning NLP/IR solutions, collaborate cross-functionally, mentor junior scientists, and establish ML best practices.

Resolve complex technical issues for Anaplan's AI-infused platform, specializing in LLM and RAG troubleshooting, prompt engineering, and system-level investigations. Collaborate cross-functionally, document findings, mentor junior staff, lead release reviews, and provide 24/7 on-call support to ensure customer success.

Lead research and engineering for large-scale LLM and multi-modal pre-training: design architectures and tokenizers, curate massive datasets, run distributed training on thousands of GPUs, debug performance bottlenecks, and improve cross-modal alignment and efficiency.

Design and build enterprise AI platform capabilities on Azure focusing on agentic AI. Create standardized templates, runtimes, and secure model access patterns. Implement LLMOps, observability, CI/CD, and governance for safe, reliable, cost‑aware production AI. Partner with product, cloud infrastructure and security teams to enable scalable, auditable agent deployments and operational readiness.

Lead discovery and shape AI product strategy by identifying high-value AI opportunities, creating business cases and roadmaps, mobilising cross-functional teams, validating technical feasibility, and establishing governance to deliver scalable, measurable AI solutions.

Evaluate and test AI chatbots and language models via structured written and voice interactions. Rate outputs, submit write-ups, screenshots, or recordings, and follow project-specific statements of work. Work is task-based, remote, flexible hours, and may involve audio recordings and iterative batches.

Lead product marketing for AI and emerging products across the full lifecycle: market research, positioning, pricing, launches, enablement, and growth. Drive GTM strategy, alignment with Product/Sales/CS, and build repeatable frameworks. Use customer insights and AI tools to inform roadmap, messaging, and commercial decisions while scaling adoption and go-to-market execution.

Lead end-to-end delivery of Markets Operations AI transformation workstreams—AI customer queries, controls automation, agentic and low-code automation—managing integrated plans, risks, benefits, governance, stakeholder alignment, change adoption, and benefits realisation across engineering, operations, risk and product.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

Work as a consultant combining human insight, strategy and AI to deliver client insight programmes. Synthesize diverse evidence, apply methodology and emerging technologies, support proposals and business growth, and develop consultancy and analytics skills across sectors.

Lead and deliver AI-enabled insight programs, manage client accounts, combine human, cultural and artificial intelligence methods, grow client relationships and revenue, coach and develop teams, shape propositions and ways of working to evolve insight consultancy.

The Product Owner (AI) will lead Nevis' AI-driven product development, defining requirements, managing cross-functional teams, and enhancing user experience for financial advisors.

The Applied AI Engineer will design and build LLM-driven automation products, collaborate on AI capabilities, and improve AI performance for wealth management solutions at Nevis.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

Create cinematic films and motion using generative video tools to visualise unbuilt luxury residences and destinations. Collaborate with strategists, designers, editors and producers to develop visual worlds, translate cinematographic craft into prompts and workflows, choose appropriate AI models/tools, and deliver high-quality campaign films.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.