Top Machine Learning Jobs in London

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

As a Lead Engineer, you'll integrate AI models into production, direct product development, collaborate in small teams, and apply visual AI to legal documents. You'll significantly impact real estate transactions by automating and improving due diligence processes.

The Junior Analyst will learn analytics, support data projects, and develop client relationships while applying econometric and statistical techniques.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Lead the curriculum product strategy and a team of Product Managers, retain hands-on ownership of high-impact products, collaborate with cross-functional teams, and drive AI/data-driven product development and adoption through the full product lifecycle.

As a Senior Engineer, you will integrate AI into real estate transactions, innovate product development, and solve complex multimodal reasoning problems.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

The Senior AI Engineer will develop intelligent conversational systems, lead ML/NLP product design, and mentor engineers to enhance recruiting efficiencies.

Lead decision science and credit models while driving improvements in credit performance, policy, and strategy. Produce insights for risk monitoring and product pricing.

The VP of Engineering will lead the engineering teams overseeing cloud, platform, data, and application engineering, focusing on execution, reliability, and scalability of Hypervolt's systems while collaborating with hardware and firmware teams.

The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.

As M&A Tech Specialist, you will identify and evaluate AI acquisition opportunities, conduct technical due diligence, and collaborate with teams to enhance Mistral's capabilities and market presence.

Lead hands-on development, architecture, deployment and governance of ML and generative AI solutions; build and manage an AI engineering team, coordinate third-party delivery, ensure timely project delivery and compliance with AI governance and technical standards.

The Principal Product Manager will lead the Agentic AI experiences and platform capabilities, collaborating across teams to define product vision and requirements, ensuring operational scalability and customer value.

The Senior Manager will oversee the Group Motor pricing strategy, apply data science for pricing, and ensure compliance with governance and regulations while partnering with stakeholders.

The Portfolio Lead will develop and manage the Data product roadmap, collaborate with stakeholders to enhance learning experiences, and leverage data insights to improve retention and performance in AI and tech upskilling.

The Audit Manager II oversees financial crime audits, assessing controls, conducting risk assessments, and leading audit engagements while ensuring compliance with regulations.

Lead end-to-end product lifecycle for insurance solutions using Salesforce and AI. Define roadmaps, translate customer needs into specs, drive cross-functional delivery, prioritize trade-offs, leverage data-driven insights, and partner with GTM teams to launch products that deliver measurable business impact.

As a Senior Machine Learning Engineer, you will build and productionize machine learning systems, mentor junior engineers, and contribute to the technical direction of ML standards at ASOS.

The Senior Bioinformatician will integrate CRISPR screens with transcriptomics to study cancer cell state rewiring and resistance mechanisms, supporting data analysis and collaborating across research projects.

The Head of Product will lead product strategy, champion cross-functional teams, and develop product managers while focusing on data-intensive and machine-learning products.

The Principal Data Scientist will lead the development of AI-native systems and work cross-functionally to enhance consulting solutions in the energy and natural resources sector, focusing on advanced modelling and client engagement.

The Senior Data Scientist will lead AI-native capabilities development, build machine learning models, and collaborate across teams for advanced analytics supporting energy market strategies.