Top AI Jobs in London

Own customer-facing Data and AI technical engagements from discovery through proof-of-value and delivery handover. Lead workshops, architecture design, demonstrations, proofs of concept, proposals, and technical evaluations. Partner with Revenue, Engineering, Product, Marketing, and cloud or SI partners to support account strategy, co-selling, and go-to-market activities. Advise enterprise customers on modern data platforms, AI solutions, governance, ROI, and technical implementation while creating reusable reference architectures and demo assets.

Leads and grows an AI engineering team while remaining hands-on with agentic AI and automation development. Owns technical direction, engineering standards, delivery, production operations, monitoring, incident response, and stakeholder engagement. Builds production-ready AI agents integrated with finance, commercial, buying, merchandising, and data platforms using retrieval augmented generation and tool orchestration. Partners with the central AI team to follow governance, measure business impact, and deliver reliable automation.

The Client Executive will sell technical services, solutions, and products within a local territory. Responsibilities include developing executive customer relationships, managing strategic accounts, leading sales meetings, identifying business opportunities, coordinating with engineers and architects, developing business cases, managing partner relationships, supporting contract vehicle strategies, and negotiating agreements. The role requires understanding broad AI, cloud, cybersecurity, digital, and infrastructure solutions to address customer needs and close complex deals.

Build practical machine learning, statistical, and data science systems for Prolific’s participant marketplace. The role focuses on modeling participant supply, demand, and quality; improving matching to studies; validating useful signals; designing experiments and metrics; and deploying production-ready solutions. The scientist will independently shape ambiguous problems, select appropriate approaches ranging from classical statistics to LLMs, and collaborate with product, engineering, and Supply Data Science specialists.

Designs and delivers AI-enabled platform capabilities, workflows, agents, and enterprise products. Owns solutions end to end across frontend, backend, AI, integrations, deployment, monitoring, and continuous improvement. Collaborates with data scientists, AI engineers, and platform engineers to productionize research and build scalable, observable, secure systems. Requires strong TypeScript, JavaScript, frontend, backend, database, API, architecture, testing, and CI/CD skills, with AI, MLOps, cloud, and financial services experience preferred.

Lead enterprise AI adoption and change-management initiatives by advising executives, prioritizing audiences and use cases, developing role-based enablement, translating AI capabilities into workflows, analyzing usage data, coordinating cross-functional partners, and reporting on sustained adoption, responsible usage, and business impact.

Deliver enterprise and operational risk transformation and advisory services for financial institutions. Assess and improve risk processes, controls, governance, market abuse frameworks, and trade surveillance. Support AI-enabled analysis, surveillance model tuning, workflow automation, validation, auditability, and responsible AI practices. Collaborate with business, technology, compliance, and risk stakeholders to identify control gaps and deliver data-driven improvements.

Lead finance business partnering for the Technology function, owning budgets, forecasts, long-term planning, reporting, cost control, savings initiatives, investment appraisal, and financial governance. Partner with senior Technology and Procurement stakeholders to improve financial performance and investment returns. Use Power BI, automation, and planning tools to enhance reporting and self-service. Lead, coach, and develop colleagues while providing clear commercial insight to decision-makers.

Conduct outbound prospecting through phone, email, LinkedIn, and other channels; qualify inbound and outbound leads; build pipeline; schedule qualified meetings; support Account Executives; maintain accurate CRM records; use AI-driven sales tools; attend relevant industry events; and collaborate with Sales and Marketing teams while participating in coaching and enablement.

Design, implement, benchmark, and optimize machine learning and computer vision models for low-latency edge and cloud deployment. Develop real-time surgical video processing pipelines, improve network architectures, write high-quality production code, and collaborate with machine learning, platform, embedded software, and research teams. The role also involves researching state-of-the-art optimization methods and communicating results across technical and business stakeholders.

Provides commercial and technology legal advice to a diverse technology-focused client base. Responsibilities include drafting, reviewing, and negotiating commercial and technology agreements; advising on artificial intelligence regulation, data protection, intellectual property, and consumer law; managing multiple stakeholders and projects; and delivering decisive, commercially informed counsel while escalating complex matters appropriately.

Qualified Accountant supporting financial control, reconciliations, month-end reporting, journals, variance analysis, and ledger management. The role focuses on automating and improving accounting processes involving asset financing, vehicle tracking, bank postings, and balance sheet accuracy. The successful candidate will use accounting software, data tools, advanced Excel, and AI where appropriate while partnering with finance teams, stakeholders, and funders to resolve issues and improve operational efficiency.

Own sales across the Dentsu agency group by identifying and closing advertising partnerships, managing media agency and advertiser relationships, and driving new business and account growth. Responsibilities include full-cycle sales, prospecting, pitching, negotiation, forecasting, Salesforce pipeline management, upselling, and coordinating post-sale campaign execution and technical support. The role requires adtech or digital media sales experience and knowledge of programmatic advertising and DSPs.

Lead complex enterprise sales cycles across high-tech accounts, advise C-suite stakeholders, displace legacy contracts, and drive adoption of Salesforce Agentforce and Data Cloud. Build consumption plans, deliver AI-focused presentations, maintain CRM hygiene, and manage pipeline coverage to achieve predictable growth. The role requires exceeding sales targets through high-value, service-oriented solutions.

Lead the design, deployment, and scaling of machine learning and generative AI systems. Guide end-to-end model development, architecture, production reliability, MLOps, and engineering excellence. Mentor engineers, shape technical roadmaps, collaborate cross-functionally, and drive organization-wide AI adoption. The role combines hands-on technical leadership with people management in a fast-paced startup environment.

Design, deploy, operate, and support production-grade Generative AI solutions across EMEA. Responsibilities include developing RAG and agentic architectures, evaluating models and platforms, collaborating with business and technology stakeholders, managing governance and risk, providing L1–L3 support, and ensuring responsible AI, security, privacy, and regulatory compliance in a financial services environment.

Lead the design, delivery, governance, support, and continuous improvement of enterprise AI solutions across EMEA. Build generative AI, RAG, and agentic systems; evaluate platforms and models; establish engineering standards; manage SDLC, security, privacy, and responsible AI controls; track outcomes and ROI; and provide operational support. Partner with business stakeholders, mentor engineers, promote reusable architectures, and drive technology adoption within a regulated financial-services environment.

Lead customer-facing delivery of production-grade data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML integrations, and guide customers through adoption. Collaborate with engineering, product, support, project managers, and executives; manage technical scope and outcomes; resolve implementation challenges; and create reusable frameworks and best practices. The role requires enterprise client engagement, technical leadership, cloud expertise, distributed computing knowledge, and approximately 20% customer travel.

Leads Salesforce’s Agentforce sales organization across the UKI region, setting sales strategy, exceeding revenue targets, developing high-performing teams, and expanding strategic customer relationships. The role requires strong AI and machine learning knowledge, technical discovery capabilities, executive engagement, pipeline and forecast management, and experience selling complex SaaS or integration solutions. The leader will drive AI adoption, consumption, retention, and expansion while partnering closely with Product, Customer Success, Marketing, and other Salesforce teams.

Administer and improve SaaS platforms and AI-enabled services, build agentic AI workflows and automation pipelines, and integrate models, tools, APIs, business data, and cloud systems. Monitor service health, cost, usage, and performance; support testing, evaluation, incident triage, governance, documentation, and secure change management. Partner with engineering, security, vendors, product teams, and business stakeholders to deliver reliable applied AI services and operational improvements.

Leads strategic customer engagements focused on application modernization, AI, agentic solutions, and developer technologies. Designs architectures, demonstrations, proofs of concept, pilots, and hackathons using Azure, Microsoft Foundry, GitHub, containers, Kubernetes, APIs, data, and AI. Builds technical strategy, orchestrates Microsoft and partner resources, resolves technical blockers, mentors peers, develops reusable assets, and provides customer and market feedback to product and engineering teams.

Lead an AI engineering area from technical direction and product delivery through team growth. Build and operate LLM and agentic workflows, including evaluation, observability, human feedback, and safe fallbacks. Remain hands-on with architecture, coding, debugging, integrations, and legacy migration while hiring and developing engineers and future leaders. Partner with product and operations to improve automation, reliability, customer outcomes, and business economics.

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.

Provides strategic and scholarly leadership for the Advanced Computing journal. Responsibilities include defining scope and special issues, recruiting and managing the editorial board, overseeing peer review and decisions, enforcing research quality and ethics, promoting reproducibility and open science, and engaging global academic, industry, and policy communities.

Leads Version 1’s AI Centre of Excellence and scales agentic workflows from pilots into core delivery. Owns internal AI tooling, governance, transformation roadmaps, team growth, budget, and impact measurement. Drives AI-native change through executive influence, develops workforce skills and career pathways with People teams, and represents the company’s transformation externally through customer advisory, conferences, press, and thought leadership.