Top Machine Learning Jobs in London

Lead end-to-end research applying advanced ML/DL (transformers, GNNs, RL, ensembles) to generate alpha across digital asset markets, build production-grade pipelines, prevent leakage/overfitting, analyze microstructure and on-chain data, and mentor junior researchers.

The role involves defining and pursuing a research project in general-purpose world models, collaborating with teams to advance visual AI.

As the Global Director of Social Data, you will establish social media measurement strategies, manage analytics, and lead a global team to enhance data-driven decision-making for brands.

The Lead Data Scientist will own the data science strategy for non-lending products, manage projects, and collaborate with directors to enhance product offerings using data insights.

As the Technical Director of AI Safety, you'll lead AI safety initiatives, oversee R&D, mentor teams, and drive innovations, representing Faculty in global AI safety discussions.

The Data Science Manager will lead a team to develop AI-based logistics planning systems, optimize operations, and mentor team members. Responsibilities include integrating data science models and driving best practices.

Manage a team of data scientists to build ML systems for logistics, overseeing the entire lifecycle, mentoring, and collaborating with technical teams.

The Staff Product Manager will lead the AI Marketplace squad, overseeing ML product strategy and ensuring machine learning enhances the marketplace experience at Preply.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

The Sales Manager will drive growth for Perion's Programmatic Digital Out-of-Home solutions, develop business strategies, build client relationships, and exceed revenue goals.

The Global Privacy Director leads the integration of global data protection strategies across TaskUs, ensuring compliance with privacy laws, managing incidents, and overseeing a multidisciplinary privacy team.

This role involves driving sales for enterprise software, managing complex sales cycles, and fostering relationships with senior stakeholders across large organizations in the UK and EMEA.

As the Global Fraud Lead, you will design and implement fraud detection systems, optimize processes with machine learning, and ensure compliance with regulations while leading fraud operations and reporting.

The Director of Colleague Data Science & Analytics will lead the global HR analytics function, driving innovative solutions to support decision-making and enhance the colleague experience.

As a Senior Machine Learning Engineer, you will design, develop, and deploy scalable AI technologies, integrating LLMs and optimizing AI features for Anaplan's platform, while mentoring junior engineers.

The Senior AI Engineer will design, develop, and implement AI capabilities, focusing on Generative AI and Machine Learning systems for business decision-making. Responsibilities include developing APIs, optimizing model workflows, and mentoring engineers.

Transform operational data into actionable insights by building semantic models, reporting solutions and metrics (Power BI/Fabric, DAX, M, SQL). Ensure data quality, governance, access controls, troubleshooting, documentation, and stakeholder collaboration to enable self-service analytics.

Lead clinical studies by providing statistical support, employing advanced analytical methods, and collaborating with cross-functional teams to optimize clinical development processes.

The AI Product Owner will define, shape, and deliver AI capabilities, manage the AI product roadmap, engage with clients, oversee SDLC delivery, ensure compliance, and support internal teams.

As an AI Deployment Engineer, you will work with startups to optimize AI systems, prototype solutions, and improve model behavior while collaborating closely with product and research teams.

Lead consultative engagements in Life Sciences, focusing on sales operations and CRM. Enhance business development and team management across EU markets.

As a Regional Research Economist, you will analyze AI's economic impacts, collaborate with entities, and develop methodologies for economic measurement, influencing policy and business decisions.

Lead technical strategy for claims fraud data science, designing and shipping production ML and Generative AI/LLM systems. Drive system-level improvements for model integration, monitoring, feedback loops and QA. Influence cross-functional product and engineering decisions to scale AI-driven claims automation and improve measurement of performance and uncertainty.

Lead the engineering teams to develop ML infrastructure, define strategy, manage operations, and foster a high-performance engineering culture in drug discovery.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.