Top AI Jobs in London

Design and deploy production-scale AI systems, develop and optimize machine learning and neural network models, work with large language models, refine prompt engineering techniques, and use OpenAI and Anthropic APIs. Collaborate with interdisciplinary teams to build AI applications for the finance sector while keeping current with industry developments.

Design, prototype, evaluate, and deploy AI agents and agentic workflows that improve global procurement processes. Partner with procurement, engineering, IT, analytics, governance, and external vendors to translate business needs into reliable enterprise solutions. Own solution delivery from discovery through rollout, including workflow design, integrations, observability, value tracking, risk management, and stakeholder communication. Build proofs of concept with low-code tools and guide scalable production implementations while ensuring privacy, compliance, auditability, and operational readiness.

Build and scale an AI-powered financial crime investigation platform across React and Python stacks. Design LangGraph agent workflows, RAG pipelines, integrations, and production infrastructure while improving reliability, observability, and performance. Own complex features from design through deployment, mentor engineers, shape architecture and engineering practices, and collaborate with Product, Design, Compliance, and engineering teams.

Leads technical pre-sales strategy for AI and cloud workforce transformation solutions serving strategic Japanese global accounts. Designs architectures, guides complex digital transformation engagements, influences senior stakeholders, orchestrates Microsoft experts and partners, coaches technical sellers, and translates customer and market insights into product and engineering strategy.

Create short films and videos using AI photo and video generation tools. Edit AI-generated content, develop concepts with marketing teams, maintain brand alignment, experiment with creative formats, and deliver engaging content for Tether and affiliated brands. The role requires video production and editing expertise, strong storytelling and visual composition skills, familiarity with digital marketing and social media, and the ability to manage multiple projects independently under tight deadlines.

Drive new enterprise business and strategic account growth for Anthropic consulting, implementation, and advisory services. Responsibilities include territory planning, prospecting senior technology and business leaders, building pipeline, positioning AI solutions, leading complex sales cycles, developing proposals, managing executive relationships, maintaining CRM data, and exceeding revenue targets.

Build and scale 1Password’s Commercial Deal Desk within Revenue Operations. Partner with Sales, Finance, Legal, and cross-functional teams on complex deals, advising on pricing, terms, discounting, approvals, renewals, and amendments. Execute accurate quotes and contracts in Salesforce CPQ/Revenue Cloud, develop approval workflows and commercial policies, create playbooks and training, and improve quote-to-cash processes through automation, AI, and data-driven analysis.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Lead enterprise AI solution architecture across reusable capabilities, defining engineering patterns, integration designs, deployment strategies, security controls, monitoring, lifecycle management, and technical standards. Partner with application, platform, infrastructure, data, DevOps, security, and delivery teams. Contribute hands-on to proof-of-concepts and production AI solutions while guiding technology adoption and enterprise AI roadmap decisions.

Evaluate AI coding-agent interactions for quality, engineering judgment, reasoning, explanations, and user trust. Provide clear written feedback, distinguish response-quality levels, help define evaluation standards, and record short video explanations. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with OpenAI Codex, Claude Code, or Cursor, and excellent English communication.

Own the model portfolio for a large-scale consumer AI platform, treating models as product lines. Define model tiering, launch processes, configuration standards, SLAs, deprecation policies, and reliability practices. Track provider changes, pricing, releases, inference metrics, evaluations, usage, and customer feedback to shape product strategy and roadmap recommendations. Partner cross-functionally with Engineering, API, BI, Product, and Marketing to make strategic decisions and deliver them.

Sell a new AI pentesting product through outbound, inbound, and partner channels. Build reseller and MSP partnerships, develop go-to-market strategy with marketing and product teams, shape positioning and pricing, create sales playbooks, and drive early market adoption in a zero-to-one startup environment.

Leads a new developer productivity team focused on AI coding agents and secure engineering workflows. Builds agent runtimes, developer interfaces, verification systems, CI/CD integrations, and deployment safeguards. Owns the path from agent task through healthy robot deployment, including access controls, monitoring, rollback, simulation, and hardware-in-the-loop testing. Recruits and leads engineers while remaining hands-on, partnering across developer tools, security, safety, simulation, and robotics to improve engineering velocity, quality, cost, and safety.

Lead Capital on Tap’s AI transformation across Product and Engineering. Set the AI strategy, redesign the software delivery lifecycle around agentic AI, own the AI engineering stack, establish controls for a regulated environment, and lead a high-performing AI Enablement team. The role focuses on measurable improvements in product delivery, AI-native engineering practices, platform decisions, and safe adoption across all product teams.

Own analyst relationships and engagement across cybersecurity, data protection, backup, disaster recovery, and MSP markets. Manage analyst briefings, evaluations, research submissions, executive preparation, and analyst intelligence programs. Partner with Product Marketing, Product Management, Communications, Sales, and leadership to strengthen market positioning, translate complex technology into compelling narratives, inform go-to-market strategy, and measure analyst relations performance.

Drive responsible AI adoption across the organisation by identifying automation opportunities, facilitating process-mapping workshops, training colleagues, developing guidance, and prototyping AI-powered solutions. The role builds an AI champions network, manages an opportunity pipeline, establishes governance guardrails, and collaborates with the Data, Systems & GIS team to implement internal tools. It is fully remote with travel for workshops and in-person collaboration.

Develop advanced automation and visual data processing workflows using AI tools, focusing on computer vision and data streaming techniques while ensuring system reliability and scalability.

Manage consulting engagements for energy network clients across capital delivery, asset management, operating model improvement, field operations, and digital transformation. Shape improvements across people, processes, technology, governance, and performance management. Help clients deploy pragmatic data and AI solutions, mobilize delivery, land operational change, and develop proposals and client relationships. The role requires utilities or asset-intensive industry experience and involves travel to client sites, typically one to two days per week.

Manage risk advisory engagements for financial services clients, leading regulatory change workstreams, risk assessments, control testing, enterprise risk frameworks, governance reporting, process optimization, and automation initiatives. Translate complex data into actionable insights, develop client deliverables, manage stakeholders, and mentor junior consultants. Requires experience in financial services risk, audit, compliance, enterprise risk frameworks, analytics tools, and project management.

Own the vision, roadmap, architecture, and hands-on delivery of IFS’s Internal Developer Platform and developer experience. Build self-service scaffolding, golden paths, service catalogs, CI/CD integrations, developer portals, authentication workflows, and production observability. Drive enterprise adoption through feedback, metrics, and platform improvements while partnering with infrastructure, IAM, SRE, and product teams. The role requires production Kubernetes experience, strong infrastructure depth, experience shipping production AI applications, and the ability to influence technical strategy without direct management responsibility.

Own the React and TypeScript web client for an enterprise AI agent product. Build streaming, trustworthy interfaces for generated content and actions, with explicit user consent and transparent agent behavior. Lead front-end architecture, component systems, accessibility, performance, security, testing, observability, and production delivery. Collaborate across service boundaries and help shape emerging protocols including MCP Apps, AG-UI, and A2UI, while advancing Lit and Web Components adoption.

Build and deliver production-grade AI and GenAI solutions for enterprise clients, including agentic systems, RAG pipelines, automation workflows, and model orchestration layers. Lead AI transformation engagements from strategy and architecture through deployment and scaling. Support presales, thought leadership, proposition development, mentoring, and technical capability building while advising clients on AI architecture, evaluation, cost, latency, scalability, and responsible AI.

Helps internal teams use Microsoft 365, Copilot, agents, and emerging AI technologies effectively. Engages stakeholders, discovers business needs, designs and supports workflows, automations, low-code solutions, pilots, and proofs of concept. Drives adoption through workshops, demonstrations, training, communications, and guidance. Applies responsible AI, governance, security, licensing, and supportability considerations while evaluating new capabilities and improving services.

Design and deliver secure, scalable, resilient AI and Generative AI architectures for enterprise use. Translate business challenges into production-ready solutions using LLMs, RAG, embeddings, vector search, AI agents, orchestration, and enterprise integration. Provide hands-on architectural guidance across Engineering, Data, Product, and Security; evaluate technologies and trade-offs; establish reusable AI patterns and standards; and promote governance, Responsible AI, operational resilience, and maintainability.

Leads AI and data security architecture across a global healthcare organization. Defines secure AI adoption patterns, governance frameworks, security controls, and standards; conducts threat modeling and architecture reviews; assesses cloud platforms, APIs, suppliers, and AI solutions; manages emerging AI risks; and advises senior stakeholders on security, privacy, and responsible innovation. Partners with technology, data, legal, clinical, and risk teams to protect sensitive personal and clinical data.