Top AI Jobs in London

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

The Marketplace Account Executive identifies and qualifies strategic prospects, engages stakeholders, communicates Pattern’s ecommerce value proposition, and drives complex B2B deals through the full sales cycle. Responsibilities include prospect research, relationship building, account planning, messaging, negotiation, meeting generation, and collaboration with enterprise account managers, marketing, and alliances teams. The role requires disciplined pipeline management, self-directed urgency, and comfort navigating long, multi-stakeholder sales cycles.

Analyze daily trading P&L, positions, risk reports, limits, and market risks for gas and other commodity desks. Support product approvals, risk committees, audits, trading procedure compliance, and Endur system changes. Enhance reporting and automate risk processes using Excel, VBA, SQL, Python, machine learning, and artificial intelligence while communicating findings to senior management and stakeholders.

Leads complex end-to-end Workday Financial Management implementations across UKI. Owns finance workstreams, facilitates requirements and solution design workshops, configures Workday Financials, leads testing and go-live activities, advises finance executives, supports sales and pre-sales efforts, mentors consultants, and applies AI-enabled approaches to improve financial processes.

Lead product vision, strategy, roadmap, discovery, prioritization, and success metrics for an enterprise AI governance and assurance platform. Align Product, Engineering, Sales, Pre-Sales, Field Deployment, leadership, and customers around outcomes. Build scalable product processes and capabilities, mentor the product team, and translate complex AI governance, regulatory, risk, compliance, and enterprise needs into focused product priorities.

Launch and grow Whoz’s UK enterprise sales presence as the first commercial hire on the ground. Responsibilities include territory mapping, strategic account planning, pipeline development, complex enterprise deal management, multi-threaded executive engagement, Proof of Value execution, commercial negotiation, and collaboration with presales, marketing, and leadership. The role targets large IT services and professional services organizations and requires an entrepreneurial approach to establishing a new geographic market.

Partner with nonprofits, research institutes, academic medical centers, and public-sector funders to apply Claude to clinical development for rare and neglected diseases. Design and assess clinical trials, draft protocols and statistical analysis plans, identify operational risks, and support drug repurposing using biomedical data. Build production LLM tools, MCP servers, agent skills, benchmarks, and evaluation systems while collaborating with clinicians, scientists, engineers, and external partners.

Mercor is offering $5 million in grants for research on AI capabilities, including real-world evaluations, interactive environments, long-horizon tasks, agentic systems, reasoning, post-training, and evaluation methodology. Academic groups, independent researchers, and nonprofits may apply with a focused proposal. Applicants should describe their team, background, research accomplishments, project, expected outputs, impact, timeline, and resource needs. Funded projects are expected to produce public research, datasets, methodologies, or tools.

Build and deploy production machine learning models, scalable ML infrastructure, real-time training and inference pipelines, multimodal AI systems, and model APIs. Optimize model performance for cost, speed, and accuracy while applying MLOps practices. Collaborate with data science teams to productionize research models and independently architect highly available ML systems for a global media and entertainment platform.

Lead high-impact AI product initiatives from discovery through launch, adoption, and iteration. Shape multi-quarter strategy and roadmaps, engage enterprise customers, define requirements with engineering and design, and align cross-functional stakeholders. Own success metrics, navigate technical tradeoffs involving LLMs, agents, data, and platform architecture, and mentor product managers. The role requires strategic judgment, technical credibility, customer empathy, and strong execution across ambiguous, multi-team problem spaces.

Own 3–5 concurrent enterprise procurement-platform deployments from discovery through adoption. Translate stakeholder processes into workflows, integrations, approval logic, and chained AI-agent configurations. Validate AI-generated outputs, manage timelines and blockers, run stakeholder workshops, secure executive buy-in, track post-launch value, and provide product feedback. The role combines client consulting, technical systems reasoning, project management, and judgment around enterprise processes and politics.

Lead customer-facing AI deployments by identifying high-impact opportunities, designing AI-powered procurement solutions, building prototypes, and demonstrating business value. Partner with enterprise customers through implementation, adoption, and value realization while facilitating workshops and innovation sessions. Translate business challenges into scalable solution architectures, measure outcomes, develop domain expertise across procurement, finance, and supply chain, and share customer insights internally.

Leads end-to-end AI transformation deployments for mid-market clients across EMEA. Owns executive relationships, rollout cadence, adoption, measurable business outcomes, and client sign-off. Builds AI agents, automations, and data workflows hands-on against real client data, directing engineers when deeper platform work is needed. Manages multiple concurrent engagements, travels regularly onsite, and codifies deployment methods for repeatability.

Lead AI Consultant responsible for translating client needs into scalable AI and machine learning solutions. Leads requirements gathering, architecture, implementation, deployment, monitoring, and operationalization of ML and generative AI solutions using Microsoft Azure services. Advises clients on AI best practices, explores and integrates data, leads delivery teams, ensures security and CI/CD standards, and presents recommendations to stakeholders.

Supports the scoping, development, and delivery of bespoke AI projects for pharmaceutical clients. Responsibilities include managing workstreams, understanding stakeholder needs, conducting open-source analysis, translating operational requirements into user stories, designing and testing workflows, collaborating with engineering teams, and contributing to strategy and thought leadership.

Own product marketing for TOPdesk’s AI and automation capabilities, including positioning, messaging, go-to-market launches, demos, sales enablement, and customer proof. Partner with Product, Sales, Customer Success, Analyst Relations, and Marketing to explain technical capabilities credibly, address trust and ROI concerns, monitor the competitive landscape, and integrate AI into the broader platform narrative.

Lead Quantium’s UK Growth practice by opening new industries, building client pipeline, activating cloud and AI partnerships, and scaling the AI Executive Edge program. The role involves selling AI transformation work, developing executive relationships, creating partnership-led opportunities, and collaborating with delivery teams to ensure client value. This is a first-on-the-ground position with significant responsibility for establishing Quantium’s market presence and growth approach in the UK.

Lead Mattioli Woods’ Group-wide Data & AI strategy, roadmap, governance, architecture, analytics, automation, and responsible AI practices. Build data foundations and quality controls across an acquisitive, FCA-regulated organization; identify workflow improvements; deliver AI and analytics into production; and build a high-performing internal team supported by specialist partners. The role involves communicating investment cases and outcomes to the CIO and Executive Committee.

Design and specify game features from concept through implementation. Collaborate with research, art, narrative, engineering, and science teams; prototype and iterate on ideas; maintain documentation; conduct playtesting; resolve bugs; secure validation; and use player data and community feedback to improve live experiences.

Legal Technology and AI Attorney supporting the International Disputes Practice Group. The role applies AI, automation, document analysis, knowledge management, and emerging technologies to litigation, arbitration, and other contentious matters. Responsibilities include evaluating and implementing tools, developing legal workflows and knowledge assets, improving precedents, training attorneys and staff, and advising lawyers on practical technology-enabled solutions. Candidates must be qualified in England and Wales with at least four years of relevant post-qualification experience.

Perform precise, repetitive physical tasks using a data collection rig to generate training data for dexterous robots. Follow detailed instructions, repeat hand movements consistently, complete object-handling and fitting tasks, respond to feedback, and maintain accuracy throughout full on-site shifts. No prior robotics or technical experience is required; training is provided.

Own SaaS implementation projects from contract signing through launch across HRIS and AI platforms. Responsibilities include scoping, data migration, configuration, integrations, stakeholder management, customer advising, handoff to Customer Success, and improving implementation processes with AI-enabled workflows.

Build client-facing human-AI prototypes spanning interaction design, software, data, APIs, agents, connected devices, and physical or spatial experiences. Translate opportunity briefs into service blueprints, workflows, coded interfaces, and working demonstrations. Conduct co-design and user testing, diagnose interaction and AI issues, facilitate client workshops, manage smaller engagements, and package reusable patterns and production-ready handoffs. Explore sensors, edge devices, fabrication, and ambient feedback to advance human-AI collaboration.

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.