Top AI Jobs in London

Lead the QA strategy and execution, focusing on automation and AI to improve quality in testing. Manage a QA team, ensuring effective communication and quality enhancement across products.

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

The Senior AI Enablement Consultant will lead AI initiatives within the company and for clients, focusing on enhancing productivity through AI training and automation. Responsibilities include user discovery, training development, automation building, and managing AI engagements across departments and customer engagements.

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

The Principal AI Engineer will define AI architecture, lead teams, develop solutions, and mentor engineers to enhance enterprise AI systems.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

The Senior AI Researcher will lead the development of AI models for physics applications, ensuring models transition from research to production while maintaining high performance and physical validity.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

The AI Engineer will develop the AI infrastructure, build approval workflows, and create intelligent collections agents, ensuring product reliability and customer satisfaction.

The Senior Python Engineer will design and implement features for data science applications, mentor junior engineers, and ensure system architecture aligns with best practices in a SaaS environment.

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.

The Senior Product Manager for AI Observability will develop and implement telemetry systems to monitor and analyze AI model performance, collaborating cross-functionally to ensure reliable AI governance and optimization.

Serve as the domain authority for a specific industry vertical to identify high-value AI use cases, engage customers, lead small cross-functional squads, translate industry needs into product requirements, drive product development through launch, and create go-to-market and pricing strategies to support sales and adoption.

The AI Engineer will design and build LLM-powered agents and workflows for logistics optimization, focusing on fullstack development and infrastructure ownership.

Hunt and close new business across UK private sector for cloud, platform engineering, Data & AI, managed services, and AI enablement. Own full sales cycle from prospecting to close, engage senior technical stakeholders, develop proposals, position Wayfinder, and work with delivery, engineering, marketing and partner teams to shape opportunities and pipeline.

Lead the AI/ML/Data team at Tripledot Studios, driving initiatives to enhance games and monetization while managing a high-performing team.

Lead the roadmap and delivery of Ohme's data and AI products: prioritize features, define requirements and success metrics, work hands-on with ML/data engineers to ship and iterate, liaise with commercial and ops teams, and drive adoption and measurable business outcomes.

The Senior/Staff Software Engineer, AI will develop AI-powered features, design backend services, and optimize workflows, ensuring integration and user experience. The role requires collaboration across teams to innovate and improve AI applications.

Seeking artists with AI-assisted visual development skills. Portfolio showcasing creative workflows is crucial. Strong foundations in visual art and curiosity about production workflows are desired.

Lead Hansen's shift to AI-first engineering by defining AI-enabled workflows, building prototypes, implementing tools like Copilot and Claude Code, coaching teams, establishing governance and metrics, and scaling adoption to improve developer productivity, delivery speed, and software quality.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

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.