Top Machine Learning Jobs in London

Lead pricing strategy and implementation across Academic products (journals, books, OA), develop AI-driven pricing models and automation, define and track pricing metrics, influence cross-functional stakeholders, manage a dotted-line analytics manager, and deliver global pricing initiatives.

Own the roadmap for acquiring fraud and risk monitoring. Build real-time rules, ML models and Agentic AI to reduce fraud and chargebacks, improve chargeback handling and recovery, define metrics, run experiments, and lead cross-functional delivery across Engineering, Data Science, Risk, Operations and Finance.

Lead global business development for BioInsight by identifying, structuring, negotiating and closing strategic partnerships across genomics, multiomics, data licensing, bioinformatics and AI. Build senior relationships with pharma, biotech and research organisations, manage full partnership lifecycle, and collaborate with R&D, product, commercial, legal and finance teams to translate scientific innovation into commercial opportunities and shape the BioInsight roadmap.

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

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

Support the Analytics team by cleaning and analysing large underwriting datasets, building and validating predictive models, contributing to R&D on mortality/morbidity, feeding insights into pricing and risk control, and communicating results to clients and stakeholders.

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.

The Senior Product Manager will lead initiatives in Network Efficiency, optimize logistics, and deliver impactful solutions by collaborating with various teams.

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

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.

Lead and architect an area of the enterprise product, write production code, mentor and manage engineers, conduct code reviews, own technical decisions, collaborate with PMs/designers, promote security best practices, and contribute to roadmap and stakeholder communication.

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

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

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.

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.

Lead design and delivery of production-grade AI/ML solutions for Market Operations. Manage a team of data scientists and partner with engineering and business stakeholders to build, deploy, monitor, and govern models, establish best practices, and drive measurable operational impact.

Develop, deploy, and maintain machine learning and statistical solutions to optimize the Cint Exchange. Analyze large datasets, model marketplace dynamics (price elasticity, supply/demand), design experiments (A/B tests), and produce clear visualizations and recommendations for cross-functional teams to inform product, pricing, and strategy.

Create clear, customer-focused documentation and help content for cloud-based video security, access control, and intrusion platforms. Design user-centric guides, peer-review content for quality and consistency, and collaborate with Engineering, Support, Escalations, and UX teams to improve documentation and product usability.

Lead and design scalable backend systems, set technical vision, drive large cross-team projects, raise engineering standards, mentor engineers, and influence company-wide architecture and processes to support product growth and AI initiatives.

Lead development and implementation of novel statistical methods and study designs for drug development. Provide statistical consulting, drive stakeholder engagement, oversee tools/software development, publish and present research, and mentor junior methodologists while collaborating across cross-functional teams.

Design and build models, strategies, and systems to price and trade financial instruments. Work with researchers, engineers, and traders on dataset generation, time-series analysis, feature engineering, model building, hyperparameter tuning, and distributed/deep-learning training at large scale.

Work with full-time researchers to identify market signals, analyze large datasets, design experiments, generate datasets, perform time-series analysis, engineer features, build and test models, and help create and productionize trading strategies. Participate in classes, seminars, and collaborative learning activities.