Top AI Jobs in London

Project Manager supporting cross-functional strategic initiatives across Product, Engineering, Sales, Marketing, and Operations. Responsibilities include maintaining project plans, milestones, risks, dependencies, governance, documentation, and reporting through Jira and Confluence. The role also focuses on applying AI and automation to improve project administration, reporting, and workflows. Candidates need technology or fintech experience, project management expertise, strong stakeholder coordination, analytical skills, and familiarity with Agile or recognized project management methodologies.

Analyze transaction-enrichment data using Python and SQL, identify failure patterns, form hypotheses, and prototype solutions. Design evaluations, including LLM-as-judge methods, to assess accuracy, cost, and coverage trade-offs. Translate findings into product recommendations and implementation guidance while collaborating with Product and Engineering. The role requires practical experimentation, LLM API usage, data-quality analysis, and clear communication with technical and nontechnical stakeholders.

Lead Data and AI pre-sales activities, translating client needs into commercially viable solutions. Support opportunity qualification, workshops, bids, proposals, solution design, and account strategy while collaborating with sales teams and technology partners. Present solutions to technical and executive audiences, develop propositions and thought leadership, monitor market trends, and share customer insights. Travel to client sites and industry events as required.

Leads Fremantle’s international Production AI network, identifying creative AI opportunities across television and film development and production teams. Builds relationships across territories, connects teams with relevant expertise, shares insights and case studies, organizes demonstrations and forums, and presents AI applications at international events. The role coordinates with central AI, deployment, productivity, procurement, governance, technical, and legal teams while influencing stakeholders and respecting local ownership.

Lead design, implementation, and analytics for FRTB and related market-risk capital requirements (IMA and SA). Own roadmap, capital estimation modules, controls, governance, regulatory submissions, and stakeholder engagement. Drive cross-functional delivery, scenario analyses across desks and products, and advance AI/LLM and data-driven automation in market risk analytics.

Design and lead architecture for agentic AI, knowledge graph, semantic, and enterprise data platforms supporting supply chain systems. Build reusable data models, ingestion pipelines, integrations, entity resolution, schema alignment, validation, and graph capabilities. Evaluate emerging technologies, define scalable architecture and governance patterns, establish quality controls and evaluators for agentic systems, and mentor technical teams while influencing product and engineering direction.

Provides senior technical consulting and pre-sales leadership for data center, private cloud, AI, compute, storage, networking, and cybersecurity solutions. Designs architectures, advises customers and executives, supports solution selling, develops bills of materials and service scopes, collaborates with OEMs and partners, and aligns technology strategies to industry-specific business needs.

Design, build, test, deploy, and operate production AI and machine learning systems using Python. Own solutions across the full lifecycle, including data preparation, evaluation, deployment, monitoring, optimization, and continuous improvement. Build generative AI, agent-based systems, backend services, APIs, and data pipelines using CI/CD, containerisation, cloud-native practices, and observability. Apply responsible AI principles and communicate technical decisions across cross-functional teams.

Leads technical foresight on how AI and emerging technologies may reshape global finance. Assesses AI capabilities, architectures, scaling, constraints, governance, failure modes, and systemic risks; translates findings into scenarios, hypotheses, briefings, research priorities, and thought leadership. Partners with research, standards, advocacy, and industry stakeholders to stress-test assumptions and evaluate technology’s implications for investment workflows, institutions, markets, professional roles, and standards.

Handle complex UK and international antitrust litigation, including cartel damages, abuse of dominance, collective proceedings, investigations, and regulatory disputes. Responsibilities include drafting pleadings, witness statements, expert reports, and settlement documents; managing disclosure and case processes; working with barristers, economists, clients, and experts; attending settlement discussions; mentoring junior lawyers; and contributing to business development, training, and knowledge management.

Lead technical consulting and pre-sales engagements for data center, private cloud, AI, compute, storage, networking, and cybersecurity solutions. Advise customers and senior stakeholders, design scalable infrastructure architectures, tailor solutions to industry verticals, support sales enablement, collaborate with OEMs and partners, produce bills of materials, and identify professional services opportunities. The role is based in London and requires travel within and outside the UK.

Design and industrialize production-grade AI and LLM platforms for ASOS. Build RAG systems, fine-tuned models, agentic workflows, orchestration layers, evaluation frameworks, vector retrieval pipelines, and AI safety guardrails on Azure. Develop reusable capabilities that scale across teams, optimize performance, cost, and reliability, and partner with security stakeholders on governance and responsible AI.

One-year graduate sales scheme focused on prospecting, lead qualification, discovery, relationship building, product demonstrations, pipeline management, renewals, and account expansion. The role serves energy, financial services, and consulting customers, requiring graduates to learn GX’s energy data products, sales methodology, and technology stack. Candidates should be proactive, resilient, commercially minded, digitally capable, customer-focused, and willing to travel occasionally. Italian language skills are preferred but not required.

Entry-level AI engineering role providing hands-on experience with data preprocessing, exploratory analysis, machine learning model development, testing, optimization, and deployment. The role includes collaboration with AI researchers and engineers, documentation, and exposure to neural networks, natural language processing, and computer vision. Mentorship and flexible scheduling support candidates beginning careers in artificial intelligence.

Develop and operationalize AI capabilities for a live judicial transcription platform. Responsibilities include transcription workflows, anonymization and redaction, summarization API integrations, prompt and evaluation pipelines, Responsible AI controls, CI/CD, DevSecOps, monitoring, observability, resilience, documentation, and knowledge sharing.

Litigation Associate handling complex consumer, ESG, product liability, technology, and life sciences disputes. Responsibilities include drafting pleadings, witness statements, expert reports, correspondence, and settlement agreements; managing disclosure and case processes; supporting regulatory engagements; attending mediations; supervising junior lawyers; and contributing to business development, training, and client relationships.

Leads technical pre-sales architecture for Salesforce Agentforce and Data Cloud, designing enterprise AI, data, and integration solutions. Builds prototypes and demos, facilitates customer workshops, advises on agent interoperability, prompt engineering, data modeling, governance, and lifecycle management. Partners with account executives, solution engineers, product teams, and customers to integrate Salesforce with hyperscalers, data lakes, external agents, and enterprise systems. Creates technical enablement content and supports early post-sale adoption.

The Research Director will lead advanced AI security research focused on frontier AI safety, robustness, and architectures. The role involves shaping research priorities, pursuing high-impact research, collaborating with governments and leading AI companies, publishing externally, and translating technical findings into AI governance and deployment action. The position offers access to frontier models, significant compute, and collaboration across national security, policy, and AI research teams.

Principal individual contributor responsible for shaping how Mintel data, content, and AI capabilities are delivered through client-controlled integrations. Conducts client discovery, evaluates workflows, defines integration-facing contracts, improves data structure and descriptions, tests assistant and system performance, and translates client evidence into product roadmaps. Partners with Data Product, Engineering, Architecture, Product, Sales, and Account Management while developing use cases, standards, enablement materials, and thought leadership.

Lead the firm's AI and Applied Intelligence agenda alongside senior leadership. Translate strategic priorities into operating plans, coordinate complex cross-functional stakeholders, drive technology and AI programme delivery, and ensure measurable business value. Act as a trusted advisor across legal, technology, data, finance, HR, communications, and external partners while supporting the development of the firm's Applied Intelligence practice and client-facing strategy.

Leads enterprise new-business sales across the UK and Northern Europe, managing approximately five account executives. Responsibilities include recruiting and coaching talent, engaging CXO prospects, developing partner channels, building pipeline, forecasting, driving sales strategy, and collaborating with sales engineering, marketing, operations, and product teams. The role requires significant enterprise software sales leadership experience, expertise in automation or GenAI, and willingness to travel up to 50%.

Build and operate AI backend systems, agentic workflows, RAG pipelines, evaluations, and LLM-powered data pipelines. Develop data-layer capabilities, monitoring, inspection interfaces, and production-grade software across Python, Dagster, PostgreSQL, Elasticsearch, and Iceberg. Collaborate with product, research, and commercial teams, own technical projects and PoCs, and balance security, quality, and delivery speed in a high-ownership startup environment.

Nine-week summer internship supporting analytics, project management, and process improvement initiatives. Responsibilities include analyzing data, identifying trends and inefficiencies, developing actionable recommendations, coordinating projects across teams, managing risks, communicating with stakeholders, and helping implement measurable process improvements. Interns gain exposure to senior leaders, business operations, AI-enabled tools, and multiple corporate functions.

Own go-to-market for Telnyx’s AI Compute portfolio, including inference, embeddings, AI Gateway, Decision Models, and dedicated GPU infrastructure. Responsibilities include product positioning, launches, benchmarking, inference economics, competitive campaigns, lifecycle activation, demand-generation programs, sales enablement, analyst relations, and customer storytelling. The role partners closely with product, engineering, sales, and demand generation while improving marketing workflows through autonomous agents and automation.

Develops World Vision International’s policy positions and external influence on children’s digital rights, AI governance, online safety, and digital participation. The role analyzes global regulatory developments, produces thought leadership and advocacy content, represents the organization in policy forums, leads coalition engagement, and advises internal teams and senior leaders. It requires collaboration across international teams and travel of up to 25%.