Top AI Jobs in London

Lead B2B product marketing strategy for DataCamp’s data and AI SaaS offerings. Responsibilities include developing positioning and messaging, executing go-to-market campaigns, creating sales and marketing collateral, gathering customer insights, managing analyst relations, and conducting competitive analysis. The role partners closely with sales, customer success, product, and content teams to drive revenue, adoption, and market impact.

Leads transformation-focused product strategy for Tekion’s automotive retail platform. Serves as the dealer operations subject matter expert, shaping roadmap priorities across sales administration, vehicle stock management, accounting integration, and enterprise workflows. Defines operational standards, transformation frameworks, and change-readiness tools; engages dealer groups and finance stakeholders throughout sales, onboarding, and post-launch. Owns UK and Canadian market considerations, including regulatory, tax, franchise, and OEM requirements, while feeding customer and implementation insights back into product development.

Supports technical sales for HPC and AI solutions by gathering customer requirements, designing architectures, preparing proposals, delivering demonstrations and proof-of-concepts, and validating solutions. Collaborates with sales teams, customers, partners, and technical specialists to position solutions, manage opportunities, contribute to pipeline growth, and support successful knowledge transfer. The role also involves tracking emerging technologies, participating in forecasts, documenting activities, and developing expertise in enterprise infrastructure and cloud technologies.

Graduate engineers complete a three-month bootcamp followed by nine months on live banking projects. They gain experience across the engineering lifecycle, including coding, testing, deployment, Agile practices, data, and AI-assisted engineering. The programme provides mentoring, certifications, and collaboration with global teams, with potential progression into a permanent Engineering role after successful completion.

Build and deploy AI agents and automations for Wise’s Customer Support and KYC Operations teams. The role covers opportunity discovery, data readiness assessment, systems integration, software development, testing, monitoring, and continuous improvement. The Senior Manager will partner with operations, Product, Engineering, Privacy, Security, and Compliance teams to deliver reliable, scalable AI solutions, document reusable approaches, and drive adoption while improving efficiency, accuracy, and compliance.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

Leads strategic EMEA AI and cloud transformation engagements, defining Azure AI Foundry architectures for agents and RAG systems. Guides architecture workshops, pilots, governance, model routing, evaluation, observability, FinOps economics, security, Responsible AI, sovereignty, and regulatory controls. Provides principal-level technical leadership, executive communication, design assurance, coaching, and escalation support while creating reusable regional delivery patterns and informing global product and practice roadmaps.

Build and deploy production-grade AI automations, agentic workflows, MCPs, plugins, and integrations across business teams. Analyze processes, identify high-impact opportunities, train users, document reusable patterns, and measure adoption and business impact. The role requires hands-on implementation, stakeholder partnership, workshop facilitation, and continuous iteration in a live fintech environment.

Build Salesforce’s international AI partner ecosystem from scratch by identifying, recruiting, negotiating with, and closing strategic AI-native companies. Manage partnerships from outreach through integration, marketplace listing, co-selling, customer adoption, and executive business reviews. Develop commercial models, maintain pipeline and performance reporting, collaborate across sales, product, legal, and alliances teams, and provide market feedback to shape AI products and partner programs.

Build and manage an international AI partner ecosystem from the ground up. Recruit AI-native companies, close partnership agreements, coordinate integrations with AIforce, Headless 360 and MCP, and grow partnerships after launch. Responsibilities include pipeline development, cold outreach, partner events, recruitment materials, scaled onboarding, technical enablement, performance reporting and collaboration with Salesforce sales and product teams.

Lead the architecture, development, deployment, and scaling of production-grade agentic AI systems for banking workflows. Build AI agents with Python, ADK, LangGraph, and Arc; integrate enterprise APIs, databases, microservices, and Kafka; and implement secure execution environments. Provide technical leadership through architecture and code reviews, security assessments, mentoring, and reusable enterprise platform contributions. Ensure solutions meet reliability, regulatory, governance, and responsible AI requirements.

Designs, deploys, and operates secure, production-grade AI services, LLM workflows, data pipelines, and reusable platform components on Azure and Databricks. Owns CI/CD, infrastructure as code, APIs, observability, incident response, and operational support. Collaborates across engineering, data science, security, infrastructure, product, and business teams while contributing to architecture, standards, platform strategy, mentoring, and technical enablement.

Lead full-cycle recruitment for niche AI/ML, computational, scientific, and deep-tech roles. Source passive candidates, manage complex global interview processes, advise hiring managers, support Programme Director searches, and build scalable recruiting systems. Partner with Communications on employer branding and represent ARIA at scientific and technology events to develop talent pipelines. The role requires strong in-house recruitment experience, proactive sourcing, autonomy, organization, systems thinking, and familiarity with the UK R&D talent landscape.

Build AI demos, prototypes, proofs of concept, and production-quality integrations for business and research teams. Provide sample code, libraries, documentation, troubleshooting, and best-practice guidance while adapting solutions to varied technical environments. Present solutions to technical and non-technical audiences, develop reusable integration patterns, gather user feedback, and stay current with AI and web technologies.

Research and develop generative AI algorithms for multimodal understanding, image and video generation, and 3D content generation. Explore large-model applications in game development and collaborate on project development, testing, and deployment.

Manage strategic law firm and corporate legal accounts, building executive relationships, driving retention, upsell and cross-sell growth, and guiding customers from on-premises systems to cloud SaaS. Maintain CRM account plans and forecasts, identify account risks, collaborate with Solutions, Product, Marketing, and Customer Success teams, and advocate for customer needs. Educate clients on product capabilities and best practices while delivering measurable improvements in efficiency, profitability, and service.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Build and ship AI-powered features for requirements engineering, including drafting, consistency checks, impact analysis, intelligent suggestions, and agentic workflows. Integrate and evaluate language models while optimizing reliability, latency, cost, observability, and safety. Develop supporting data pipelines, evaluation systems, prompt and model management, and backend and UI integrations. Collaborate with product teams and customers to prototype, launch, and iterate on production AI capabilities.

Leads and grows an engineering team responsible for Flow’s AI-native requirements platform. Owns product execution from customer scoping through iteration, makes architecture decisions, reviews code, contributes hands-on, establishes engineering practices, and partners with recruiting. The role directs development of agentic workflows and LLM-powered features while collaborating with product, design, customers, and forward-deployed engineers.

Mercor seeks research proposals examining AI’s economic and labor impacts, human-AI collaboration, productivity, enterprise adoption, and returns. Eligible applicants include researchers at universities, nonprofits, public benefit corporations, and small startups in the United States or United Kingdom. Applicants must submit an expression of interest describing methodology, team expertise, outcomes, timeline, risks, and budget. Selected projects must produce an openly licensed paper, dataset, methodology, or tool.

Leads global FP&A activities, including financial analysis, annual and long-term planning, forecasting, management reporting, investment evaluation, and performance reviews. Drives standardized planning processes, finance digitalization, AI adoption, data-quality improvements, cost-saving initiatives, and profitability improvements. Partners with senior stakeholders and global business lines, communicates financial insights, and supports training and knowledge sharing across Finance.

Writes and updates inheritance tax content, including research materials and practical guidance. Reviews AI-powered tax workflows for technical accuracy and practitioner relevance, collaborates on commissioned content, and contributes to the strategic direction of Tolley’s tax offering. The role requires expertise in inheritance tax, trusts, estates, and personal tax, strong writing and communication skills, and the ability to use AI tools critically in tax research and content creation.

Principal Engineer in a forward-deployed role, partnering directly with teams to identify opportunities, build production-ready solutions, demonstrate emerging capabilities, and transfer knowledge. The role requires broad engineering expertise, architectural judgment, hands-on development, consulting skills, and practical use of AI with appropriate guardrails and quality controls. Work is hybrid for UK-based employees, with approximately one day per week in Edinburgh or London and occasional client-site travel.

Build post-training and agent systems for public-sector and regulated environments. Develop private improvement loops, permissioned tool-using agents, high-assurance evaluations, and deployable model updates within strict data and infrastructure boundaries. Conduct experiments, inspect traces, establish meaningful baselines, attribute failures, and collaborate directly with customers and research partners. The role requires hands-on model-training or agent experimentation, strong Python skills, sound research judgment, and comfort solving ambiguous problems.