Top Machine Learning Jobs in London

Join UnlikelyAI to build a public API and platform combining LLMs with symbolic reasoning for financial institutions, focusing on infrastructure, symbolic reasoning engines, and scalable document processing.

Develop and scale core audit product features, manage AI workflows, and help set product direction with customer feedback.

Isomorphic Labs seeks to recruit interested candidates for roles in software engineering, machine learning research, computational chemistry, and project management for future openings.

The Senior Mobile Engineer will develop cross-platform Flutter apps, collaborate across teams, and address real-world technology issues in logistics.

As a Sales Development Representative at Hook, you will engage prospects, qualify leads, and help book meetings while utilizing sales training and mentorship.

As a Software Engineer at Prodia, you will optimize image/video models, build APIs, and improve distributed job scheduling, focusing on fast and reliable performance.

The algorithm engineer will develop machine learning products for underwriting risk assessment, ensure algorithm availability, and guide junior team members.

The Executive Director leads HEOR Consulting projects, manages teams, ensures client satisfaction, and drives AI integration within healthcare solutions while overseeing business development and strategic planning.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

As a Technical Program Manager, you will manage agentic innovation programs, oversee engineering workstreams, and ensure cross-functional integration for AI model development.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, manage client relationships, and mentor data scientists.

As a Research Engineer, you'll improve RL training infrastructure, identify bottlenecks, collaborate with teams, and enhance reliability of research runs.

The Computer Vision Engineer will lead AI initiatives in the defense sector, delivering solutions and mentoring teams while driving technical strategy and capability development.

The Staff Applied Scientist will build control systems, design experiments, develop recommendation frameworks, and partner across teams to translate research into scalable solutions, impacting ad spend efficiently.

The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.

Responsible for the roadmap of a technical product, collaborating with engineers and stakeholders to develop, launch, and grow products.

Lead the development of the proprietary risk engine to enhance fraud detection and risk mitigation for payment processing. Collaborate with various teams to define product strategy, manage metrics, and optimize technical capabilities.

The Principal Machine Learning Engineer will design, develop, and maintain ML infrastructure and frameworks, drive MLOps initiatives, and lead teams to implement production-grade ML solutions across the organization.

The Technical Account Manager will drive customer success, manage accounts, deliver onboarding and demos, and align engineering solutions with customer needs.

As a Senior Product Engineer, you will develop backend and frontend systems, mentor engineers, and enhance product architecture at Intercom.

Lead development of AI-powered marketing analytics across EMEA: build predictive models, design Growth KPI dashboards, segment customers, translate data into actionable insights, support marketing teams, and drive data storytelling and visualization for cross-functional stakeholders.

Lead product vision, strategy, and execution for a hardware-enabled AI SaaS platform connecting IoT Analyser units to the Deepnest packaging intelligence product. Own platform architecture and roadmap, align product and engineering, mentor a lean PM/design team, define metrics and monetization for hybrid hardware+SaaS models, and represent customer needs across recycling facilities and enterprise brand/regulator stakeholders.

As a Lead Applied Scientist, you will define research strategy, mentor teams, and innovate AI/ML solutions for legal and other professional sectors.