Top AI Jobs in London

PhysicsX invites candidates to join its talent community for future opportunities across research, data science, machine learning engineering, product, and delivery. The company develops AI-driven simulation software for engineering and manufacturing in advanced industries including aerospace, energy, semiconductors, materials, and automotive. Applications are reviewed for potential future roles, with no active vacancy or immediate progression guaranteed.

Own the full new-business sales cycle for MDOTM’s AI-powered SaaS investment platform, Sphere. Prospect and build pipelines, engage institutional asset and wealth management clients, deliver tailored demonstrations, manage complex multi-stakeholder evaluations, negotiate commercial terms, and close high-value enterprise deals. The role requires a proven B2B sales hunter who can independently generate net-new logos, exceed targets, influence senior stakeholders, and sell emerging technology within financial services.

Drive end-to-end enterprise sales cycles across the UK&I, focusing on prospecting, pipeline development, consultative selling, executive engagement, business-case development, and closing new business. Maintain expertise in HighRadius solutions, forecast opportunities, conduct market and competitor research, and represent the company at industry events. Travel to client sites and events up to 50% of the time.

Defines and measures high-quality conversations for an AI mental health product. The role develops behavioral benchmarks and evaluations, establishes safety constraints, makes evidence-based product decisions, and recruits and coaches distributed human reviewers. It partners with clinical, safety, conversation, and machine learning teams to improve model behavior, maintain reviewer calibration, and evaluate difficult conversational edge cases. The role requires clinical psychology expertise, measurement experience, strong interpersonal skills, and comfort working alongside ML teams.

Leads Apex Group’s procurement technology and AI strategy, roadmap, platform selection, integrations, and enterprise adoption. Deploys AI, automation, and agentic capabilities across source-to-pay, supplier management, risk, and data workflows. Partners with IT, AI, Risk, Compliance, vendors, and senior stakeholders to deliver secure, scalable solutions, improved user experience, productivity gains, faster cycle times, stronger compliance, and measurable commercial value.

Design, build, and operate scalable data pipelines, models, cloud platforms, and AI applications on Google Cloud. Lead technical delivery for client projects, make architecture decisions, manage risks, and ensure production quality through testing, observability, and data controls. Build and evaluate LLM applications, collaborate with consultants and data scientists, communicate with technical and non-technical stakeholders, and raise engineering standards through reviews, documentation, and reusable practices.

Leads multiple engineering teams and sets technical strategy for Spotify’s content catalog platform. Oversees scalable distributed systems, legacy modernization, reliability, content quality, automation, and AI initiatives. Partners with product and business leaders to execute long-term roadmaps, improve content availability, and reduce operational friction. Builds inclusive engineering culture, develops engineering managers, and drives alignment across distributed teams and locations.

Sell Databricks’ cloud-based data and AI platform to high-growth, venture-backed digital-native companies. Responsibilities include prospecting, closing new accounts, expanding existing accounts, engaging executives and technical stakeholders, developing account strategies, communicating value, allocating internal resources, and exceeding pipeline, activity, and revenue targets.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Own strategic enterprise sales for AI transformation services, from prospecting and executive discovery through proposal, negotiation, closing, and account expansion. Build pipeline through outreach, referrals, networks, and technology partnerships; identify ambiguous customer problems; shape engagements with technical teams; navigate complex enterprise buying processes; and grow initial projects into long-term relationships while owning revenue across new and existing clients.

Drive pipeline and bookings growth through strategic Global Systems Integrator partnerships across Europe. Develop joint business plans, coordinate enterprise sales pursuits, generate demand, strengthen executive relationships, expand partner-led services and platform adoption, and monitor performance through business reporting. Collaborate with Sales, Marketing, Product, Services, Finance, and alliance teams to execute go-to-market initiatives and deliver measurable revenue outcomes.

Build and maintain infrastructure, data systems, and tools for evaluating and deploying AI/ML models supporting scientific drug discovery. Partner with scientists, product managers, ML experts, and DevOps engineers to define requirements, implement algorithms, optimize GPU performance, develop cloud-native systems, and own features through production. Contribute to architecture, testing, code reviews, documentation, and engineering practices while mentoring and collaborating across teams.

Own and grow a portfolio of strategic enterprise SaaS customers across the UK and international markets. Develop account plans, drive retention and net revenue retention, lead executive and quarterly business reviews, identify expansion opportunities, negotiate renewals, and build senior stakeholder relationships. Partner with Customer Success, Marketing, Product, and leadership to maximize customer outcomes, advocacy, and commercial growth while maintaining accurate forecasts and CRM discipline.

Lead global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Originate and close strategic AI partnerships, develop global go-to-market strategy, identify priority markets and use cases, build enterprise business cases, and establish ecosystem partnerships across compute, hardware, and infrastructure. The role also involves monitoring partnership performance, representing Tether with senior and government stakeholders, and building a global AI Expansion team.

Drive strategic Salesforce Data 360 sales opportunities across UK mid-market accounts. Responsibilities include qualifying deals, leading use-case workshops, positioning solutions, managing complex sales cycles, partnering with core Account Executives, accelerating customer adoption, and supporting new business, expansion, consumption, and revenue growth targets. The role requires strong data and cloud platform expertise, experience with CDP or lakehouse providers, and the ability to influence stakeholders in matrixed account environments.

Design, build, deploy, and own high-performance distributed data systems processing petabytes of robotics data and billions of items. Develop performant protocols and APIs, ensure reliability under heavy load, manage production services, and improve systems through testing, monitoring, code reviews, and careful architectural decisions. Collaborate with a high-performing team while solving complex data-intensive problems for AI and robotics applications.

Design, build and deploy agentic AI features and LLM-driven systems for secure, compliant environments. Integrate AI across backend and UI, optimise models (including perception/CLIP/CLAP), document for compliance, and deliver robust production solutions.

Serve as the primary technical resource in pre-sales, partnering with Account Directors to develop sales strategies, demonstrate SaaS products, lead technical discovery, address objections, and respond to RFI/RFP requirements. Translate client M&A workflows into Datasite solutions, communicate AI and LLM capabilities, gather product feedback, and provide informed recommendations on security, technology, and industry trends.

Owns commercial outcomes for strategic enterprise customers across onboarding, renewal, and expansion. The role focuses on increasing retention and net revenue retention, driving product adoption, tracking measurable customer outcomes, identifying expansion opportunities, mitigating churn, and advising senior revenue leaders. The strategist also contributes customer insights to product roadmap and go-to-market strategy while developing toward broader commercial leadership.

Leads cyber security assurance and advisory engagements, advising clients on strategy, resilience, controls, compliance, emerging technology, and vCISO services. Responsibilities include team leadership, coaching, resource management, recruitment, quality assurance, client relationship management, proposal development, business development, and profitable delivery of cyber services.

Build Nebuly’s UK enterprise sales presence from scratch. Generate pipeline through an existing network, own the full sales cycle from prospecting through close, and sell €100K+ ACV solutions to mid-market and enterprise accounts. Navigate complex, multi-stakeholder deals involving product, AI, IT, legal, and procurement teams. Represent Nebuly at events, develop system integrator and advisory partnerships, and build the company’s initial UK customer base.

Build and deploy practical machine learning, deep learning, and generative AI solutions. Design and evaluate experiments, work with large language models and AI agents, write production-quality code, optimize model performance, and collaborate with product and engineering teams to deliver scalable AI systems.

Own AI automation, revenue planning, performance reporting, CRM and sales-system improvements in partnership with the VP Sales. Build workflows for research, forecasting, reporting and pipeline execution; establish trusted commercial data; improve forecasting discipline; support board reporting; and coordinate cross-functional operating plans. The role combines practical AI delivery, analytical planning, GTM systems ownership and leadership across Sales, Marketing, Partnerships, Customer Success, Implementation and Finance.

Build and scale shared AI platform capabilities on Azure, with emphasis on agentic AI runtimes, orchestration, tool integration, LLMOps, evaluation, observability, security, and reliability. Develop reusable templates, standards, and reference implementations for enterprise AI adoption. Partner with product, infrastructure, security, and engineering teams to establish governed model access, lifecycle management, CI/CD, and production-ready AI operating practices.

Partners with senior leaders to deliver people plans, manage employee relations, support organisational change and workforce planning, and use people data to improve outcomes. Advises on UK employment law, influences stakeholders in a complex matrixed organisation, contributes to policy and process improvement, and adopts AI-enabled ways of working. The role is hybrid in London with regular travel to other Assystem sites.