Top AI Jobs in London

Identify exceptional early-career individuals with founder potential, build trusted relationships with them, advise their career and company-building decisions, and help determine which founders and companies receive venture investment. The role involves developing talent-sourcing theses, building expert networks, evaluating people and opportunities, and supporting ambitious founders in creating high-impact technology companies.

Identify exceptional individuals with startup potential, build trusted relationships with them, advise their career and company-building decisions, and influence investment decisions. The role involves developing talent-sourcing theses, building expert networks, evaluating founders and companies, and supporting promising individuals as they create technology companies. Candidates should have founder, investor, or startup operator experience and strong intellectual curiosity, drive, networking ability, judgment, and appreciation for technology’s impact.

Leads technical relationships for strategic accounts, advising CIOs and CTOs on cloud, data, AI, and application strategies. Shapes technology roadmaps, supports bids and account growth, reviews solution architecture, manages technical escalations, and facilitates innovation sessions. The role provides senior client-facing leadership across pre-sales, delivery, and managed services while translating business objectives into technology outcomes.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Own the AI and Automation product strategy, roadmap, discovery, delivery, adoption, and value realization across the insurance customer journey. Identify and prioritize use cases, translate business needs into product requirements, lead complex transformation programs, build commercial opportunity pipelines, and partner with Engineering, Compliance, Legal, Risk, market leaders, and branch teams. Drive responsible AI adoption through training, governance, practical propositions, and measurable operational and commercial outcomes.

Lead SimCorp’s UK sales organization and own regional commercial performance across new-logo acquisition, existing-client growth, and ARR attainment. Develop and coach senior sales and account management teams, establish sales strategy for asset managers and owners, manage pipeline and forecasting in Salesforce, and sponsor strategic C-suite opportunities. Build market share, orchestrate virtual deal teams, identify competitive opportunities, and communicate UK market insights to improve positioning and value propositions.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and practices. Partner with engineering leadership and technical teams to define the AI roadmap, evaluate coding agents and models, improve developer velocity and quality, and drive safe adoption. The role includes internal tooling, developer advocacy, documentation, impact measurement, and collaboration across engineering and non-engineering teams.

Provides senior legal advice to Technology, Operations, Procurement, Data, AI, and Transformation teams. Leads complex commercial contracting involving SaaS, cloud, outsourcing, procurement, licensing, data, and strategic suppliers. Advises on AI, digital transformation, operational resilience, third-party risk, and technology governance across jurisdictions. Partners with senior stakeholders, manages external counsel, mentors colleagues, and drives legal operations improvement through technology, templates, playbooks, and scalable delivery models.

Lead and grow Marloo’s UK sales organization, owning revenue, team performance, hiring, forecasting, pipeline generation, enterprise deals, sales processes, and performance measurement. Coach sellers, improve conversion and deal execution, manage procurement and compliance sales cycles, and connect customer feedback to product development. The role requires continued personal involvement in complex deals and building a scalable sales system for global expansion.

Builds and deploys AI-enabled workflows across Neko, helping teams identify business problems, redesign processes, adopt solutions, and measure impact. The role combines consulting, hands-on AI development, process mapping, training, workflow adoption, and iteration. Success is measured by sustained usage, efficiency gains, and the ability to help teams become more capable of building with AI.

Own Aisha, Aspora’s AI finance agent, from early development through trusted real-money tasks. Lead product strategy, roadmap, agent architecture, reliability, evaluations, guardrails, consumer experience, research, hiring, and cross-functional work with compliance, legal, payments, and the CEO. Build a founding team and determine what to build, buy, or partner on across models, orchestration, data connections, and payment rails.

Provides client-facing application support for an energy commodities trading platform. Handles support calls and tickets, investigates technical issues, manages settings and access updates, explains platform functionality, coordinates escalations, and keeps clients informed through resolution. Improves documentation and support processes based on recurring issues while participating in a light shift pattern, including occasional public holiday coverage.

Create question-and-answer prompts, review and rank AI-generated responses, assess reasoning quality, and provide constructive feedback to improve AI model accuracy and helpfulness. The role is flexible and remote, requires strong English writing and critical-thinking skills, and does not require an AI or technical background. Applicants must have a bachelor’s degree and reside in an eligible country with acceptable identity or residency documentation.

Build, deploy, and maintain AI and machine learning solutions across the full development lifecycle. Develop models, prepare data, contribute to MLOps pipelines, implement production monitoring, apply responsible AI principles, collaborate with clients and internal teams, and mentor junior technical staff. The role requires Python and C# proficiency, cloud AI platform experience, machine learning library expertise, knowledge of model evaluation, and experience handling complex datasets.

Create premium still and moving-image content using generative AI, existing product photography, and campaign assets. Retouch, composite, finish, crop, and adapt imagery across e-commerce, campaigns, social, advertising, CRM, and wholesale. Maintain product accuracy, luxury visual standards, and brand consistency while developing efficient AI-led workflows. Collaborate with creative, design, marketing, and e-commerce teams in a fast-paced environment.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Industrial placement opportunities across GSK engineering, pharmaceutical manufacturing, process development, automation, sustainability, facilities, maintenance, and R&D teams. Students will support equipment installation, reliability, process optimisation, data analysis, modelling, validation, continuous improvement, sustainability initiatives, and capital projects. Placements are approximately one year starting July 2027, with roles based in Ware, Montrose, Stevenage, Worthing, or Barnard Castle. Most roles require full-time onsite work, while some offer flexible arrangements.

Lead the modernization of trading operations through AI, machine learning, and automation. Manage trade lifecycles, P&L attribution, reconciliations, data integrity, risk monitoring, and performance reporting across multi-asset trading activities. Build agentic AI workflows, predictive risk models, anomaly detection tools, automated commentary, and real-time dashboards using Python, SQL, LLMs, and MLOps technologies.

Develop and optimize AI and computer vision models for real-time exercise tracking, form correction, repetition counting, and feedback. Analyze pose-estimation time-series data, create real-time algorithms, handle occlusion scenarios, and optimize models for hardware accelerators. Collaborate with data science, engineering, product, QA, customer support, and marketing teams to deliver reliable fitness product features.

Lead architecture and hands-on implementation of scalable decision automation and production ML systems for Candy Crush Saga. Build reusable decisioning foundations, improve experimentation and causal inference tooling, mentor senior engineers, and ensure reliability, observability, and cross-team alignment for player-facing personalization and adaptation at scale.

Coordinates enterprise sales pods through account research, stakeholder mapping, personalized outreach, lead qualification, meeting scheduling, proposal and demo preparation, CRM maintenance, and pipeline tracking. Uses AI tools, MCP integrations, and Yext’s Scout platform to detect buying signals, automate research, analyze account visibility, and generate actionable intelligence. Partners with account executives, Marketing, and Customer Success to support multi-threaded account engagement and deal progression.

Partner with UK and European financial-services clients to design, deploy, and operationalize AI risk controls, evaluations, and guardrails. Translate regulatory and risk expectations into testable controls, operating models, evidence standards, and triage workflows. Lead client workshops, support audit readiness, monitor production guardrail performance, and collaborate with product, engineering, and deployment teams to improve AI governance capabilities.

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.

Lead AI transformation initiatives for Fortune 50–100 customers, serving as a strategic advisor to C-suite leaders. Define AI adoption visions, frameworks, and measurable ROI outcomes; manage executive relationships, value realization, cross-functional programs, escalations, and risk mitigation. Identify expansion opportunities with sales and scale transformation best practices through reusable frameworks, decks, and communications.