Top AI Jobs in London

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

Lead AI strategy, build internal tools, and drive AI adoption across the company while collaborating with leadership and delivering measurable efficiency improvements.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

As a Full Stack Software Engineer, you will design and build product features, ensuring resilience and scalability while collaborating with AI researchers.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

As a Senior AI Data Scientist, you will design and develop AI-driven tools for market research, analyze data, and collaborate with cross-functional teams.

Manage the entire sales process for NiCE AI solutions, drive sales opportunities, develop relationships with executives, and contribute to pipeline generation activities.

You will optimize algorithms, evaluate third-party technologies, and assume ownership of existing code while transitioning to a research-oriented role. A strong academic background in mathematics or engineering is required, with proven programming skills.

The AI Product Manager will lead cross-functional teams in defining product strategies, managing releases, and ensuring customer satisfaction in a B2B SaaS environment.

The role involves leading data and AI consulting engagements, managing project teams, ensuring client outcomes, and contributing to practice growth in specialist industries.

The Solution Architect Technology & AI acts as a technical ambassador, bridging innovation and customer value while promoting IFS's AI-driven solutions. Responsibilities include customer presentations, technical advising, and empowering sales teams through AI technology adoption.

As an AI Engineer, you'll develop and enhance ML products, focusing on NLP and cloud-based solutions while collaborating with experts to innovate in regulatory compliance.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

Pre-Sales AI Solution Designers collaborate with teams to propose AI-driven solutions, design architectures, present capabilities, and assist with proposals, ensuring compliance and ethical standards in AI development.

As an Applied AI Engineer, you will develop AI solutions using LLMs, build models, and track their performance, while collaborating with cross-functional teams.

As a Pre-Sales architect, you'll advise enterprise customers on integrating Claude AI, overseeing technical solutions from discovery to deployment, while collaborating with multiple teams.

As a Campus AI Researcher Intern, you will apply machine learning to develop predictive trading models and contribute to complex research projects.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

As a Staff Product Designer, the role involves shaping the future of AI-driven products, defining innovative solutions for customer engagement, and influencing strategic initiatives at scale across various domains. The designer will prototype, collaborate with stakeholders, and craft narratives aligning with product vision and market needs.

Join Mistral AI for a 6-month internship focused on fine-tuning generative models and conducting research in natural language processing.

The Lead Software Engineer will design and develop AI-driven software, focusing on backend systems with Python and cloud technologies, while collaborating with cross-functional teams and guiding other engineers.

Lead the design, development, and maintenance of reliable backend services, including AI-driven applications. Collaborate with various teams to ensure quality solutions and contribute to architectural decisions.

The Staff Software Engineer for AI Content will develop and ship production code, collaborate on product features, and mentor other engineers to improve overall product architecture.

The role involves leading AI integration in customer experience, building AI tools, automating workflows, and fostering AI literacy across teams.