Top AI Jobs in London

Lead identification, prototyping, and production deployment of AI solutions to transform risk operations. Partner across Operations, Engineering, Data Science, Product, and Compliance to build, monitor, and iterate AI agents and low-code/no-code tools, ensuring regulatory compliance and operational scalability.

Partner with financial services clients to identify, design, and deliver AI-enabled use cases (GPT, Copilot, generative AI) across operations, product, and compliance. Lead workshops, stakeholder engagement, implementation coordination, testing and change adoption to scale responsible AI capabilities within regulated environments.

Lead AI transformation for wealth and asset management clients: define AI adoption strategy, identify use cases, oversee multidisciplinary delivery, ensure governance, risk and compliance, and drive commercialisation and capability building across programs using GPT, Copilot and enterprise AI tools.

The AI Business Analyst will facilitate AI integration in wealth and asset management, engage stakeholders, support agile delivery, and drive responsible AI adoption.

Lead AI transformation programmes across Wealth & Asset Management clients, overseeing governance, roadmaps, delivery, risk, compliance, benefits realisation and stakeholder engagement. Embed responsible AI and AI-enabled solutions into operations, mentor teams, support commercial growth, and ensure scaled adoption of AI technologies.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Perform fundamental bottom-up research on European small-cap equities, build financial models and valuations, conduct due diligence and company meetings, generate high-conviction investment ideas, prepare stock and sector materials, and travel across Europe for on-site research and conferences.

Perform fundamental bottom-up research on European small-cap equities, build financial models, conduct valuation and due diligence, lead company meetings, produce stock and sector materials, and travel across Europe to support investment recommendations.

Lead pre-sales technical evaluations for LogicMonitor's Edwin AI: run discovery, demos, and proof-of-value; configure use cases, prompts, dashboards; train sales and customer-facing teams; translate customer challenges into Edwin AI solutions; document requirements and outcomes in Salesforce; drive successful evaluations and resolve technical obstacles.

The Forward Deployed Engineer will manage battery-focused projects, support customer onboarding, deliver technical demos, and analyze battery microstructure data.

Develop, research, and deploy systematic eFX trading strategies across intraday to longer horizons using public and proprietary data. Prototype models quickly, move successful research into production, monitor and analyze live models for improvement, and contribute materially to P&L targets while collaborating with a team and leveraging ML/AI techniques where appropriate.

This role focuses on prospecting, relationship-building, and supporting enterprise growth through collaboration with account managers and marketing teams.

Owns the SAP SuccessFactors platform’s delivery, administration, governance, support, security, integrations, and continuous improvement. Leads a distributed team of 4–6 contributors across Manila and the UK, manages HR technology projects, and partners with HR, IT, Finance, and external providers. Responsibilities include roadmap development, Agile delivery, release management, configuration, testing, data quality, compliance, stakeholder engagement, and applying AI to improve delivery and automation.

Own the full business development and sales cycle across Europe, including prospecting, partnerships, stakeholder engagement, negotiation, contracting, and closing against revenue targets. Develop channel opportunities, support European go-to-market strategies, communicate customer ROI, attend industry events, and collaborate with Marketing, Product, technology partners, and agencies. Track funnel performance, improve acquisition processes, and share market insights while engaging apparel brands and retailers.

Leads commercial legal strategy for complex product partnerships and technology agreements. Advises Product, Sales, Engineering, Finance, Regulatory, Compliance, and Tax teams on go-to-market structures, negotiations, risk, and contract execution. Develops legal templates, playbooks, AI processes, and risk frameworks; improves contract lifecycle management and automation; mentors teams; and supports M&A diligence and integration. The role requires independent judgment in a fast-paced, remote-first fintech environment.

Manage day-to-day privacy processes (RoPA, DPIA, DSRs), administer OneTrust and Jira, drive AI governance rollout, advise on data protection and consent, codify guidance and training, automate privacy operations, reassess high/medium-risk processing, and support data protection agreements with cross-functional stakeholders.

Research and build post-training solutions for coding LLMs and agentic systems: design experiments, implement policy optimization and fine-tuning methods, translate prototypes into production, and communicate findings across teams.

Own the AI agenda across Customer Operations by identifying, implementing, monitoring, and optimizing AI features such as chat and email agents. Manage multiple concurrent projects, align stakeholders, translate operational pain points into automation opportunities, and improve processes across Customer Support and Payments, Fraud & Verification. Track post-launch performance, resolve issues, and drive continuous operational excellence through analytical, creative, and cross-functional problem-solving.

Lead open-innovation initiatives by sourcing external partners, identifying and validating strategic opportunities, and driving ideas from discovery through experimentation to implementation. Build stakeholder sponsorship, manage partnerships and governance, and bring market and technology insights to inform strategy and investment decisions.

Manages occupational health and safety programs across multiple European jurisdictions. Responsibilities include overseeing OHS vendors and training partners, coordinating employee health assessments and safety training, conducting internal compliance audits, answering OHS questions, improving procedures, launching new processes, developing policies with People and Legal teams, and protecting confidential employee information.

The role involves leading presales engagements, developing business cases, and presenting value propositions to senior stakeholders, while supporting the sales team with customer interactions and strategic initiatives.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

Lead Genesys’ EMEA Product Support organization, managing global teams that resolve complex customer and partner issues. Responsibilities include organizational planning, budgeting, staffing, KPI development, customer experience improvements, cloud-focused service design, executive engagement, cross-functional program execution, and presales support. The role requires hands-on leadership, talent development, global stakeholder management, relationship building, and effective delivery within a fast-paced SaaS environment.

Serves as the primary technical advisor for strategic enterprise customers, guiding platform optimization, architecture, integrations, security, reliability, and feature adoption. Conducts technical health reviews, identifies risks, troubleshoots complex integration issues, develops technical success plans, and delivers training and workshops. Acts as the technical liaison between customers and internal product, engineering, and support teams while advising on compliance, authentication, data protection, and scalable cloud architectures.

Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.