Top Machine Learning Jobs in London

As an AI Trainer - Machine Learning Specialist, you will provide expert feedback on AI models, complete AI training tasks, and assess AI performance. Candidates must exhibit ML expertise and complete a skills verification test.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

As a Principal Consultant, lead engagements in Capital Markets, driving innovation, digital transformation, and improving user experience across multiple financial sectors while collaborating with cross-functional teams.

The role involves analyzing operational transformations in Capital Markets, collaborating with cross-functional teams, and managing product lifecycles to enhance client satisfaction and business results.

As a Machine Learning Engineer, you'll train and deploy ML models for enterprise clients, work on deep learning solutions, and interface with product teams to enhance AI applications.

The Senior/Staff Product Manager will drive strategy and execution for a marketplace, optimizing partner experience and enhancing scheduling processes through data-driven insights and cross-functional collaboration.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

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

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

The Engineering Manager - Platform Reliability leads a team to enhance platform reliability through engineering excellence, oversees resource management, and collaborates with teams for scalable service development.

As a Senior Machine Learning Engineer, you will design, develop, and optimize ML solutions for enterprise customers, focusing on generative AI for improved content management. Collaborate with teams to ensure high-quality outputs and lead ML education efforts.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

Own the data science strategy for non-lending products, manage projects, collaborate with leaders, and contribute to new product expansion using machine learning and data-driven insights.

Lead the strategy and execution of Payments and FinCrime platforms, ensuring efficient money movement and financial crime prevention, while managing and mentoring a team of Product Managers.

As Director of AV Product Engineering, you will manage product engineering, develop autonomous vehicle capabilities, and lead multiple teams to ensure alignment with company objectives while fostering technical growth and innovation.

Join Waymo to enhance AV simulations using deep learning. Collaborate globally, design metrics, train models, and hire diverse engineers.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

The Fraud Specialist will identify fraud risks, implement detection mechanisms, and develop training to enhance fraud awareness across the company.

The Senior Data Scientist will develop machine learning models for the UK credit cards business, focusing on acquisitions and customer management, while collaborating with various teams to improve decision systems and business performance.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Design, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The AI Product Manager will own the product lifecycle for AI assets, translating business needs into requirements, driving adoption, and managing delivery timelines in collaboration with data scientists and commercial teams.