Top AI Jobs in London

Leads client-facing Oracle technology opportunity shaping from initial commercial discussions through solution direction. Engages CIOs, CTOs, IT directors, and enterprise architects to understand business needs and develop outcome-led propositions across OCI, databases, integration, automation, low-code, security, analytics, and AI. Builds executive confidence, balances value and feasibility, supports bids and workshops, develops thought leadership, and collaborates with sales, marketing, architecture, consulting, and managed services teams.

Leads the transformation of Sophos’s pricing operations by building a centralized team, governance model, pricing cadence, and AI-assisted competitive intelligence capabilities. The role oversees discount governance, market monitoring, cross-functional alignment with sales and finance, Network Security partnership, executive reporting, and metrics tracking. It requires organizational change leadership, people management, and experience designing pricing strategies for subscription-based technology businesses.

Leads the GTM Systems function and its AI strategy, overseeing Salesforce, marketing automation, customer-success tooling, vendors, and the broader commercial technology roadmap. Builds AI agents and scalable systems, evaluates build-versus-buy decisions, measures adoption and ROI, drives cross-functional change, and manages five senior individual contributors. Partners with data, enablement, security, finance, and commercial leaders to improve efficiency, pipeline, conversion, and revenue through AI-native operations.

Leads procurement transformation consulting engagements for UK, European, international, and global clients. Responsibilities include designing and implementing procurement operating models, digital Source-to-Pay processes, technology landscapes, data management, third-party risk programs, performance management, sustainability initiatives, automation, AI adoption, category strategies, spend analysis, benchmarking, business cases, cost reduction, and benefits tracking. Works with C-suite executives and procurement leadership teams to deliver business-led transformation.

Leads complex enterprise sales engagements that drive AI and business transformation for large healthcare customers. Responsibilities include account and opportunity planning, deal strategy, negotiation, forecasting, pipeline management, business-value and TCO analysis, and executive stakeholder engagement. The role sells AI, CRM, ERP, automation, and low-code solutions while coordinating internal teams, partners, and services organizations and navigating government budget cycles.

Build Java backend tooling that integrates AI into coding, testing, deployments, defect triage, observability, and CI/CD workflows. Evaluate and safely integrate LLM developer tools with Jira, Confluence, GitLab, and internal systems. Automate manual engineering processes, improve testing and release practices, track delivery metrics, support responsible AI adoption, collaborate with security and compliance, and mentor engineers.

MBA summer associates join Roland Berger consulting teams for 8–12 weeks, working on real client projects across global offices. Interns apply strategic thinking, analytical and creative problem-solving, teamwork, entrepreneurial skills, and AI and data capabilities to complex business challenges. Outstanding performers may receive full-time offers.

Lead the design, development, deployment, and operation of production-grade agentic AI systems supporting insurance underwriting and portfolio management. Build evaluation, observability, testing, tracing, fallback, and reliability capabilities. Partner with underwriters and portfolio managers to translate commercial needs into product and technical decisions. The role requires strong software architecture, cloud deployment, AI framework, governance, and operational expertise, with ownership from initial design through production delivery.

Own the enterprise AI stack for Productboard Spark, including permissions, audit, usage limits, model routing, BYOM, automation, and governance. Define strategy and roadmap, translate enterprise customer needs into scalable product capabilities, lead cross-functional initiatives, establish success metrics, prototype with AI coding tools, and support enterprise rollouts. The role requires deep experience shipping agentic AI products, enterprise B2B SaaS, governance controls, and large-scale customer deployments.

Supports product marketing for Darktrace’s AI security solution, including positioning, messaging, product launches, sales enablement, content development, competitive intelligence, analyst relations, and customer proof points. The role translates technical cybersecurity capabilities into customer-focused market messaging and seller-ready materials while collaborating with product, sales, marketing, and customer-facing teams. This hybrid position requires two days per week in the Cambridge or London office.

Own the full sales cycle for Sedna’s AI-powered maritime platform, from prospecting and discovery through demonstrations, technical validation, negotiation, and close. Build relationships with shipping and trading customers, develop account plans, identify expansion opportunities, manage renewals, and coordinate with marketing, RevOps, presales, product, and customer success teams. Maintain accurate forecasting and continuously improve sales practices.

Sets technical direction for data and AI capabilities, leads large-scale production solutions, establishes engineering standards and reusable frameworks, improves AI monitoring and evaluation, partners with senior stakeholders, mentors engineers, and supports responsible AI adoption across the organization.

Lead Mark43's AI-enabled engineering initiative by designing and orchestrating multi-agent systems that plan, write, review, test, and deploy software. Write prompts, scaffolding, and tool integrations (VCS, test runners, internal APIs), evaluate agent performance, prototype LLM-based workflows, collaborate cross-functionally, mentor teammates, and contribute to on-call rotations.

Build and support secure full-stack web applications, internal tools, APIs, data pipelines, and database schemas. Develop AI agents and LLM-powered solutions using Agentic AI, RAG, tool calling, guardrails, and Microsoft Foundry. Deploy machine learning models for predictive analytics, implement automated testing and CI/CD, resolve application and data issues, and modernize legacy systems. Collaborate with technical teams and business stakeholders to deliver scalable information and decision-support solutions.

Supports the strategy, roadmap, and delivery of LSEG’s Enterprise AI Platform. The role helps define platform capabilities, collaborate with Engineering and governance teams, gather requirements, prototype AI products, support platform adoption, track metrics, maintain standards, and coordinate with cloud and industry partners. It is designed for an early-career product manager interested in AI platforms, enterprise software, APIs, and responsible AI.

Supports the strategy, roadmap, and delivery of LSEG’s Enterprise AI Platform. Responsibilities include defining platform capabilities, partnering with Engineering and governance teams, gathering requirements, supporting AI infrastructure adoption, validating prototypes, tracking delivery and success metrics, maintaining standards and documentation, and coordinating with product teams, cloud providers, and industry partners. The role focuses on secure, scalable, governed AI enablement across the enterprise.

The Director of FP&A will own budgeting, rolling forecasts, integrated financial modeling, cash flow and headcount planning, SaaS KPI reporting, variance analysis, board reporting, and PE sponsor reporting. The role will improve planning infrastructure across NetSuite, Salesforce, Pigment, and Bob, apply AI to finance workflows, and lead and develop the FP&A team across a multi-entity, multi-currency SaaS business.

Own the monthly close and group consolidation across Belgium, the UK, Poland, and the US. Prepare consolidated accounts under IFRS and local GAAP, manage intercompany eliminations and FX translation, support statutory and group audits, improve reporting processes using Excel, NetSuite, consolidation tools, and AI-enabled workflows, and mentor accounting team members.

Own Searchable’s core B2B SaaS product end to end, from onboarding and AI-search diagnosis through recommendations and monitoring. Define product strategy with company leadership, translate customer and market insights into detailed requirements, build prototypes, and drive engineering execution. Apply technical judgment to AI agents, including autonomy decisions, evaluations, golden sets, and failure-mode monitoring. Improve activation, conversion, retention, and customer value while operating as a hands-on individual contributor without direct reports.

Lead business analysis for AI-enabled consulting programs, translating business needs, policies, risks, and governance expectations into practical agent-based solutions. Responsibilities include requirements elicitation, process modeling, stakeholder facilitation, AI assurance, human oversight, exception handling, risk management, solution validation, adoption, and benefits realization. The role also involves client relationship management, mentoring, knowledge sharing, and proposition development.

Build and operate applied and agentic AI workflows, SaaS platforms, integrations, and automation pipelines. Administer configurations, access, environments, and lifecycle management while monitoring service health, cost, usage, and performance. Partner with engineering, security, vendors, and business teams to implement secure integrations and automations. Conduct testing, evaluation, incident triage, documentation, governance, and continuous reliability improvements.

Develop and validate trustworthy clinical AI and decision-support systems, incorporating clinical reasoning, safety evaluation, evidence-based medicine, and expert testing. Partner with product, engineering, editorial, business development, customers, and strategic partners on clinical implementations and outcomes studies. Represent the organization through clinical presentations, publications, thought leadership, and customer engagements. Optional clinical practice may comprise up to 20% of the role.

Own and improve production real-time voice systems for an AI receptionist. Responsibilities include building LiveKit voice agents, optimizing latency, turn detection, interruptions, speech recognition and synthesis, managing SIP and telephony integrations, handling provider failures, and measuring call quality through tracing and repeatable evaluations. The role requires strong Python or TypeScript/Node.js skills, WebRTC and SIP knowledge, and experience safely shipping changes to live services.

The Product Manager will help investment teams identify and implement AI workflow automations across investment, reporting, research, and analytical processes. Responsibilities include gathering user needs, defining product requirements, coaching teams on AI tools, creating reusable playbooks, supporting platform adoption, synthesizing feedback, and partnering with Product, Engineering, Design, and Data teams. The role requires practical AI enablement, investment workflow understanding, responsible AI judgment, and strong communication.

Develop and deploy Claude-powered automation for scientific laboratories, connecting AI to lab robots, instruments, scheduling systems, and LIMS. Build production software, evaluations, reusable cookbooks, and documentation while identifying physical-world safety limitations. Shape product, engineering, and research direction through field experience, represent Claude to scientific audiences across EMEA, and collaborate directly with external labs and partners. The role involves significant travel and requires strong communication, scientific judgment, and hands-on engineering skills.