Top AI Jobs in London

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.

Lead the AI technical integration at Global, developing APIs, data pipelines, and AI-driven solutions while ensuring scalability and usability of systems in collaboration with cross-functional teams.

The Senior AI Engineer will design and deliver AI solutions, monitor AI/ML trends, and collaborate across teams to operationalize AI products.

Manage trading workflows and risk monitoring using AI. Develop models for predictive risk and automate manual processes to enhance P&L analysis.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

The Senior Director Analyst leads AI business strategy, advises clients on AI adoption, and produces thought-provoking content and research insights to drive business outcomes for technology leaders.

The AI Sales Strategy Senior Manager drives global customer strategy for Genesys AI solutions, leading strategic planning, analytics, and operational efficiencies to enhance sales performance and alignment across departments.

Drive AI product adoption and sales growth, achieve sales quotas, nurture customer relationships, and collaborate with sales teams, leveraging deep AI knowledge.

The role requires creating insights for finance leaders focused on AI integration in finance processes, conducting research, and advising on AI strategies. It involves engaging with clients, presenting insights, and mentoring junior team members.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

The Senior AI Engineer will automate document extraction workflows in insurance, improving accuracy and reliability. Responsibilities include building data systems, leading evaluation practices, and enhancing integration processes.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

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

The AI Operations Engineer will lead AI integrations into EdTech products, optimize AI systems, ensure reliability and compliance, and innovate with AI solutions for school operations.

Design, develop, and deploy AI powered software for medical devices. Work with a cross-functional team to optimize AI/ML models for various platforms.

Build MCP servers and agentic workflows that securely connect LLMs to enterprise systems (Salesforce, Snowflake, Google Workspace), deliver production AI integrations, collaborate with stakeholders, document patterns, and grow the AI Enablement function.

As a Senior Manager in AI Safety, you'll oversee AI safety evaluations, build relationships with clients, and develop strategy proposals while mentoring team members.

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

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

The Director of AI & Innovation will lead AI strategy development, integrating AI in banking products, ensuring ethical AI deployment, and collaborating on innovative projects within Finastra.

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

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.