Top AI Jobs in London

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

Build and evolve an AI tutoring system, run evaluations, design software, collaborate with teams, and ensure quality through testing and refinement.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

Design and build scalable applications using JavaScript or Python, implement data storage solutions, optimise performance, ensure testing and CI/CD practices, collaborate with clients and technical leaders, and maintain high code quality through reviews and agile delivery.

Lead the design and delivery of GenAI solutions, leveraging LLMs and RAG architectures while integrating with enterprise systems. Focus on production-grade implementations and collaboration across teams for digital transformation efforts.

Design, build, and maintain high-performance Java backend systems that integrate and deploy AI/ML models. Develop RESTful microservices, optimize performance and security, implement CI/CD, work with cloud platforms and container orchestration, and collaborate with data scientists on scalable ML solutions.

Lead AI research at Tortus AI, defining agendas, guiding product engineering, publishing research, and representing the company in regulatory matters and conferences.

The Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.

Build and maintain product features that streamline property transactions. Use LLMs and AI coding agents to accelerate development, debug issues, and iterate rapidly. Own tasks from day one, collaborate with a small team, and apply practical problem-solving to deliver customer-facing improvements.

The role involves designing and building end-to-end prototypes, collaborating with sales teams, and representing the company in executive meetings, requiring strong customer-facing skills and technical expertise.

The Principal Engineer will focus on scaling AI-driven development, shaping engineering teams' practices, supporting project transitions, and enhancing application deployment processes.

The AI Operations Manager will identify AI opportunities, redesign operational processes, and build internal AI tools to enhance efficiency in operations and trading.

The AI Operations Manager will lead AI integration into workflows, manage automation tools, maintain Salesforce, and enhance operational efficiency across teams.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

The role involves leading and delivering Data and AI strategy engagements, managing client relationships, supporting business development, and mentoring junior team members, all aimed at driving data-driven transformation in organizations.

Lead vision, strategy, and execution for Elastic Agent Builder to enable enterprises to build, manage, and scale context for AI agents. Partner with customers, sales, engineering, data science, design, and hyperscaler partners to define roadmap, benchmarking, UX, and evangelism for retrieval, relevance, and context-engineering capabilities.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Lead and scale a specialist overlay sales team across EMEA to drive adoption of Genesys AI and experience orchestration solutions. Coach directors, define operating models with Account Executives, support complex enterprise opportunities, align coverage with regional sales leadership, and collaborate cross-functionally to evolve messaging, enablement, and go-to-market for AI-led outcomes.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare and manage datasets, integrate models into services, ensure performance and scalability, and collaborate with cross-functional teams while maintaining documentation and code quality.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

As a Founding AI Engineer, you will develop production AI systems with Python and MLOps, ensuring integration into real user workflows, while shaping product direction.

The role involves building AI workflows, integrating AI capabilities, establishing observability, and collaborating with vendors and data teams.