Top Machine Learning Jobs in London

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Design and ship machine learning models for optimizing messaging on multiple channels, focusing on long-term user outcomes and experimentation.

The UX Researcher will explore AI technologies, lead research studies, and provide insights to develop breakthrough generative AI experiences at Google DeepMind. Responsibilities include collaborating with cross-functional teams, designing methodologies, and shaping product strategy through user research.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

Serve as a strategic data-science advisor to senior marketing leaders: translate business problems into data science solutions, build and deploy statistical and ML models, design experiments/causal analyses, synthesize insights with market intelligence, and present executive-level recommendations to embed a test-and-learn culture.

Lead product strategy for AI-powered personalization and recommendation capabilities. Define requirements, partner with Data Science and Engineering to build, test, launch and optimize models, monitor performance, run experiments, prioritize enhancements using analytics, and communicate results to stakeholders while ensuring scalability, compliance and strong customer experiences.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

The Senior Ecommerce Manager drives revenue growth for brands on marketplaces, manages cross-functional teams, and develops strategic plans to enhance performance and client relationships.

The Lead Pre-Sales Solutions Consultant leads technical sales aspects, supports field sales, and collaborates with teams to demonstrate the Amperity platform to prospects, ensuring it meets their business needs.

Lead UK pricing for Motor, Home, Pet and SME products by developing data-driven pricing frameworks, building and implementing actuarial models, monitoring portfolio performance, performing ad-hoc analytics, and collaborating with MGAs and internal teams to ensure profitable, compliant pricing.

The Senior Manager of Partnerships will lead the global partner strategy, manage partner relationships, drive revenue, and collaborate cross-functionally within the organization.

Lead and grow a Data Science chapter, architect and deliver AI/ML/LLM solutions, establish MLOps and governance, mentor junior staff, collaborate with engineering and business stakeholders to drive productionised analytics and innovation.

The Forward Deployed Software Engineer will customize AI solutions for enterprise customers, maintain technical ownership, and bridge between support and engineering.

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Senior Financial Analyst will manage financial planning, drive Opex forecasting, and report on Group financial performance while partnering with various teams.

Design and build systems for detecting and responding to harm on OpenAI's platforms, collaborating with various teams to enhance safety and integrity.

Machine Learning Engineer needed to enhance ML platform, build infrastructure, and utilize ML frameworks to solve problems in a financial context.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

Lead the development of machine learning systems to enhance customer experience and drive business outcomes across Moonpig's Cards business. Manage a team, oversee model performance, and promote the application of AI technologies.

The role involves providing corporate and M&A legal support, advising on regulatory obligations, and engaging with senior leadership and clients, particularly during post-acquisition integration.

Lead coordination and governance for an enterprise AI-driven marketing transformation. Drive cross-workstream program management, milestone tracking, communications, and change management to enable AI adoption across media and marketing operations.