Top AI Jobs in London

Technical presales role focused on designing, demonstrating, and positioning Copilot Studio AI solutions. Partner with sales and Microsoft teams to qualify opportunities, lead technical discovery, build demos/POCs, advise on orchestration, integrations, security and governance, and help develop repeatable AI offerings and enablement materials.

The AI Enablement Specialist will drive AI integration across the firm, prototyping solutions, running workshops, and mapping business processes to enhance efficiency. They will engage with stakeholders and leverage technical skills to demonstrate AI value, initiating projects that transform operations and decision-making.

The Principal Data Scientist will lead the development of custom data science solutions using generative AI and NLP, collaborating with a diverse team to drive business impact and enhance healthcare outcomes.

As a Principal Data and AI Architect at Salesforce, you will design enterprise-grade AI and data architectures, guide senior customer executives, and lead pre-sales technical solutions utilizing the Agentforce platform and Data 360.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Own end-to-end QA for AI SMS bot and call-training system: review production conversations, create JSON test files, edit Markdown knowledge base (WRONG/RIGHT examples), run test suites, verify fixes, and maintain knowledge base. Operate existing infrastructure using CLI and Git, and write realistic conversational examples and pass/fail criteria.

Lead on-site AI transformation for mid-market CEOs: own executive relationships, drive fixed-scope first wins on real data, translate problems into build-ready specs, manage rollout to finance-verified outcomes, and codify methods to scale deployments.

Lead the AI Engineering squad, driving the design and deployment of production-grade AI systems to enhance business value while ensuring compliance and best practices.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

The AI/ML Quantitative Research Manager leads research efforts in quantitative strategies, develops AI/ML models for trading signals, and collaborates with internal teams to enhance trading systems.

The role involves AI research and development, applying deep learning and NLP for personalized learning, collaborating with various teams, mentoring peers, and contributing to ML best practices.

Uncountable seeks a Platform Engineer focused on Generative AI to develop AI-powered tools for scientific R&D, requiring fullstack development skills and a passion for advancing user needs.

The AI & Automation Lead will oversee a team in delivering automation and AI solutions, providing technical guidance, ensuring quality, and engaging clients in various industries to support their transformation journeys.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

The Applied AI Transformation Manager drives program delivery for strategic accounts, ensures value realization from AI projects, and builds customer trust through effective operations and communication. You'll manage complex enterprise relationships and support onboarding of AI solutions.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Design, develop, and maintain generative AI services using Python and Java, while promoting engineering best practices and mentoring engineers.

As a founding engineer in Mistral's Applied AI SRE sub-team, your role involves building reliable frameworks, operating customer environments, and leading security operations for AI solutions.

Lead the architecture and delivery of systems for AI and data at Bullish, ensuring intelligibility and accessibility of data for both humans and AI agents.

Manage the GTM AI Engineering team overseeing automation, AI agent strategy, and integration with sales and marketing for revenue growth.

The role involves training AI models using accounting expertise, including evaluating performance and providing feedback on tasks like financial statement interpretation and tax analysis.

The role involves training and evaluating AI models using real accounting expertise, focusing on financial reporting and management accounting tasks.