Top AI Jobs in London

Owns high-priority, cross-functional initiatives alongside the CEO and Chief of Staff. Responsibilities may include fundraising materials and financial analysis, legal and regulatory research, market-entry work, interim ownership of functions, customer data cleanup, executive communications, and operational problem-solving. The role requires exceptional organization, structured thinking, attention to detail, strong written communication, proficiency with Excel and presentations, rapid execution, and the ability to independently close workstreams in a demanding in-person startup environment.

Lead the organisation’s AI strategy and data function, driving AI adoption, workflow redesign, self-service analytics, semantic data modelling, and trusted data access. The role manages Data Analysts, oversees the business-facing data warehouse layer, establishes analytics engineering standards, and delivers measurable insights and business value. It requires strong experience implementing AI solutions, cloud data platforms, SQL, dbt, financial services data, and stakeholder leadership in regulated environments.

Leads AI transformation strategy and delivery for infrastructure, capital delivery, finance, and corporate occupier clients. Responsibilities include developing AI use cases and roadmaps, redesigning processes, deploying AI tools, shaping bespoke solutions, establishing governance, driving adoption, managing executive relationships, winning new business, and building multidisciplinary teams. The role combines commercial leadership, technical credibility, responsible AI oversight, and senior advisory work.

Own the strategy, roadmap, quality, and end-to-end customer experience for Productboard Spark’s AI Insights and agentic product capabilities. This includes designing agent behavior, data and retrieval pipelines, evaluation frameworks, interactive outputs, and product metrics. The role requires hands-on prototyping, analysis of model traces and evals, customer research, cross-functional leadership, and mentoring PMs while partnering closely with the founders.

Mercor is offering $5 million in grants for independent researchers, academics, PhD students, and small teams conducting frontier AI safety research. Focus areas include misalignment, sandbox escape, evaluation awareness, interpretability, oversight and control, and red-teaming. Funding may support researcher time, API credits, and conference attendance. Applicants should submit a focused expression of interest describing their team, background, research proposal, outputs, impact, timelines, and resource needs.

Build and operate reliable, highly available HPC infrastructure for AI model training and inference. Responsibilities include observability, automation, deployment, scaling, failover, incident management, postmortems, security, compliance, and collaboration with ML and platform engineering teams. The role requires operating CPU/GPU clusters, distributed systems, storage, networking, workload schedulers, and ML pipelines while optimizing capacity and costs.

Leads end-to-end business analysis for AI, automation, and data initiatives within the tax technology function. Responsibilities include stakeholder workshops, requirements gathering, process analysis, user stories, acceptance criteria, backlog refinement, traceability, dependency and risk management, solution alignment, and UAT planning and execution. The role bridges tax business stakeholders with product, architecture, delivery, and testing teams to ensure technology solutions meet agreed business needs.

Lead customer contact and contact center transformation engagements, identifying opportunities to improve customer journeys, demand management, channel mix, automation, and service design. Apply AI across voice and digital channels, develop strategies, roadmaps, business cases, and pilots, and support implementation. Own workstreams, facilitate client workshops, align Product, Technology, and Operations stakeholders, contribute to proposals, coach junior colleagues, and deliver measurable operational improvements.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Lead the research, development, testing, deployment, and maintenance of complex machine learning and generative AI models. Design MLOps pipelines for CI/CD, monitoring, retraining, and production operations. Solve complex technical problems, evaluate emerging AI technologies, deliver high-risk prototypes, integrate models with existing systems, and ensure model safety, security, performance, and reliability. Mentor junior team members and provide specialist generative AI expertise for public sector and national security projects.

Build and lead an AI-native digital banking business, defining its proposition, roadmap, business model, and customer experiences across accounts, cards, payments, savings, and money management. Own P&L, deposits, revenue, unit economics, and operating costs. Partner with product, engineering, and AI teams, build the leadership team, establish banking and operational capabilities, and drive regulatory readiness, partnerships, and expansion.

Build and lead an AI-native consumer finance business spanning spending, saving, investing, and everyday financial workflows. Responsibilities include defining product strategy, roadmap, business model, and AI capabilities; owning P&L, growth, revenue, unit economics, and operations; launching and scaling products; collaborating with product and engineering teams; building a cross-functional team; and expanding into new markets.

Support strategic transformation programmes by maintaining project plans, tracking milestones and benefits, preparing management reporting, coordinating stakeholder communications, and identifying process-improvement and automation opportunities. The role offers graduate development in business transformation, project delivery, operational excellence, business analysis, automation, and AI-enabled change.

Source and vet industry experts globally for private equity and consultancy clients. Associates research client briefs, identify expert matches using an AI-driven platform and online resources, conduct outreach through calls, email, and messaging, negotiate with experts, and manage projects to meet deadlines and exceed client expectations.

Develop and execute industry marketing strategies for AI-powered satellite and geospatial solutions targeting defense and intelligence audiences across EMEA. Create positioning, messaging, content, sales enablement assets, demos, and competitive insights. Partner with sales, product, pre-sales engineering, account-based marketing, and executives to support launches, campaigns, proposals, events, and pipeline growth. Present internally and externally while translating technical capabilities into compelling narratives for military and government customers.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Lead the founding London enterprise sales team by recruiting and coaching account executives, managing complex AI infrastructure deals, shaping European go-to-market strategy, and acting as a player-coach. Partner with Marketing, Product, Engineering, and Legal on enterprise requirements, technical evaluations, procurement, and roadmap input. Build consultative selling practices and a culture of accountability while carrying deals during the team’s early growth.

Deliver end-to-end Palantir Foundry solutions, including data pipelines, transformations, ontology models, integrations, and production deployments. Translate client requirements into scalable, governed, high-performance data applications using Python, SQL, and PySpark. Collaborate with business and technical stakeholders, lead solution design and implementation, support adoption, and provide technical guidance. The role also contributes to data architecture, testing, CI/CD, data quality, security, and platform engineering best practices.

Lead Data and AI transformation consulting for commercial insurers and reinsurers. Advise C-level stakeholders, define AI-enabled operating models, lead complex transformation programs, and deliver measurable business outcomes across underwriting, claims, operations, and distribution. Expand Synpulse’s Data and AI practice through proposition development, capability building, mentoring, client development, and proposal leadership while translating emerging GenAI and Agentic AI trends into practical insurance solutions.

Leads consulting engagements for insurers and reinsurers, translating business strategy into data- and AI-enabled operating models, capability maps, transformation roadmaps, semantic models, and structured solution designs. The role facilitates workshops, aligns business and technology stakeholders, assesses data landscapes, identifies AI opportunities, supports implementation teams, and develops reusable data and AI proposition assets. It requires strong insurance domain knowledge, business architecture, data modeling, analytical, communication, and consulting capabilities.

Lead insurance business and technology transformation engagements across the London Market and wider insurance sector. Responsibilities include designing operating models, governance frameworks, processes, and transformation roadmaps; managing projects, workstreams, stakeholders, and delivery teams; improving efficiency, controls, data quality, and customer outcomes through technology, automation, and AI; supporting business development; and mentoring consultants.

Support Celonis Value Engineers in analyzing customer process data, identifying business challenges, building use cases, quantifying financial impact, and preparing management presentations. Collaborate with customers and partners, present findings to senior decision-makers, and promote Celonis AI capabilities and value propositions. The role combines consulting, data analytics, process mining, business case development, and customer-facing technology advisory work.

Lead end-to-end AI adoption and multi-year roadmaps for enterprise customers, align cross-functional teams, design solutions, measure AI adoption and commercial impact, advise on responsible AI and compliance, and drive retention and expansion through outcome-driven success plans.

Own strategic AI-native and enterprise accounts across the full sales cycle, from pipeline generation and prospecting through closing and expansion. Partner with Solutions, Engineering, and Research teams to design technical solutions and proof-of-concept evaluations for inference and post-training workloads. Build executive and technical relationships, manage complex sales cycles, identify customer use cases, provide product feedback, and improve sales processes. The role requires strong B2B technology sales experience, technical fluency, and a record of closing complex strategic deals.

Manage and grow major technology and financial services accounts by strengthening executive relationships, developing strategic account plans, identifying cross-sell opportunities, and protecting revenue and gross profit. Monitor contract performance, delivery risks, and opportunities while coordinating sales, marketing, product, and delivery teams to ensure client satisfaction and optimized service delivery.