Top AI Jobs in London

The AI Solution Architect will drive the adoption of AI solutions, partner with sales, guide customers in integration, and ensure successful project implementation, requiring strong technical skills and a customer-facing background.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

As a Senior AI Engineer, you'll architect and scale advanced AI systems, lead model design and deployment, and mentor engineers, driving innovation in the insurance industry.

As an AI Engineer, you'll develop LLM-based user-centric products, creating frameworks, optimizing systems, and collaborating with cross-functional teams in a startup environment.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

As a Senior AI Engineer, you'll build and scale AI solutions using LLMs, design data pipelines, implement MLOps practices, and ensure ethical AI development.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

The VP of Product Engineering leads engineering teams to create high-performance AI products, boosts team dynamics, and ensures effective communication across teams.

The role involves driving new business growth through AI transformations, building senior client relationships, and leading consultative sales for AI solutions across various sectors.

The Business Development Director will lead financial services growth, manage senior client relationships, and execute a business strategy focused on AI solutions.

As a Solutions Architect, you'll guide startups in adopting Claude AI, translate technical needs into solutions, and foster customer relationships while leveraging technical expertise.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

As a Senior AI Product Manager, you'll lead AI product vision and strategy, collaborate with technical teams, and drive customer-centric product development.

Lead AI-enabled conversational search product for consumer apps: define KPIs, own discovery and delivery, build business cases, collaborate with designers, researchers, engineers and AI specialists, prioritise backlog, and shape strategic vision for Search.

Lead end-to-end delivery of custom AI agent solutions for enterprise customers: scope SOWs, define MVPs and architectures, run engineering execution, manage stakeholders, measure ROI, codify playbooks, and navigate regulatory and procurement complexity. Travel 25–50% to customer sites.

Drive operational execution for the GenAI Applied portfolio across EMEA/APAC by maintaining deal trackers and reporting, managing pre-engineering workflows, coordinating cross-functional stakeholders (including Legal and Policy), structuring leadership forums, and leading special projects to ensure alignment and progress toward strategic goals.

Lead design and governance of enterprise-scale, Azure-native data platforms to enable analytics and AI. Define architecture patterns (lakehouse, streaming, hybrid), enforce data contracts and governance, integrate Azure services (Databricks, Synapse, Fabric), and ensure security, compliance and performance across programmes.

Build an AI-native finance function from scratch: design real-time automated financial models, pipelines, dashboards, and AI workflows to drive commercial decisions, forecasting, and investor reporting while keeping the team lean and automated.

The AI Semantic Architect will design ontologies, build knowledge graphs, develop semantic queries, ensure data quality, and integrate with enterprise systems. Collaborating with AI teams is a key part of the role.

Lead development and deployment of multimodal neural search and ranking models for personalized learning. Conduct research, prototype and productionize deep learning NLP/IR solutions, collaborate cross-functionally, mentor junior scientists, and establish ML best practices.

Lead a small engineering team to build and operate scalable, secure AI agents and workflows. Partner with stakeholders to remove adoption friction, ensure governed AI integration, maintain technical quality, and mentor engineers while contributing hands-on to design, code and incident response.

Train LLMs to produce production-grade code by comparing and ranking snippets, repairing and refactoring AI-generated code, and injecting reviewer feedback into the RLHF pipeline. Provide clear written justifications and spot logic, performance, and security issues while working remotely as a 1099 contractor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.