Top Machine Learning Jobs in London

As Head of Complaints, you will lead the complaints department, ensuring regulatory compliance while fostering a high-performance culture and driving operational excellence.

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.

Design, build, and deploy machine learning models to detect fraud, prevent losses, and monitor risk. Work with Product, Engineering, and Operations to turn large-scale data into production-ready pipelines and model-serving solutions, monitor performance, and continuously improve model accuracy and business impact.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

As a Senior Product Manager, you'll lead cross-functional teams to deliver customer strategies, enhance the app experience, and align with product goals at Monzo.

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

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.

Embed with engineering clients to own full-cycle technical hiring for software, AI/ML, infrastructure and data roles. Run deep intakes, headhunt passive candidates, coach hiring managers on interview design and calibration, build hiring foundations, report on pipeline health, and use/builder recruitment AI agents to scale impact.

Lead the strategy and roadmap for a business-critical B2B SaaS product, partnering with ML, backend, design, and revenue teams. Drive metrics (NRR, MAU, feature adoption), engage executives and enterprise customers, support sales and renewals, mentor product colleagues, and ensure strong product craft and adoption of agentic AI tools across the team.

Design, build, and maintain BI reporting and visualizations; perform data modelling and ETL; collaborate with commercial stakeholders to surface insights; support data warehouse architecture and governance; train users and document BI solutions.

Lead UK credit card portfolio credit risk: set strategy, design underwriting and pricing, monitor performance, run stress testing, ensure compliance, and build a high-performing team to minimize losses while enabling growth.

As a Staff Software Engineer (ML QA), you'll design and maintain testing infrastructure for the ML software stack, focusing on automation, software quality, and mentoring junior engineers in a collaborative environment.

Short-term (3-6 month) R&D internship to develop and validate hyperspectral imaging algorithms and low-latency image processing tools, design and integrate intraoperative imaging systems, and execute validation tests using phantom models, ex-vivo and in-vivo experiments supporting a regulatory-cleared surgical imaging platform.

Lead Rasa’s product organization and define strategy for its enterprise conversational AI platform. Manage and develop a team of product managers, own product roadmaps and lifecycle decisions, and partner with engineering, sales, and marketing on product definition, pricing, packaging, and go-to-market. Use customer research, market analysis, competitive intelligence, and developer feedback to guide innovation and foster a strong ecosystem across cloud, on-premises, and open-source deployments.

Lead and build Wise's Risk Modelling ML engineering pillar: design a Model Factory and experimentation engine, implement model ops (retraining, drift detection, monitoring), hire and mentor senior ML engineers, set engineering standards, and partner with platform teams to safely scale hundreds of real-time financial crime models.

Lead mobile and web product strategy for e-commerce across European markets. Improve user journeys (acquisition, search, recommendations, payments, reviews), define lifecycle segmentation and KPIs, manage roadmaps and launches, integrate user insights and machine learning, and collaborate cross-functionally to optimise global app experiences.

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.

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.

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.

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.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

Lead engineering systems and teams for an AI chat application, focusing on backend, mobile, and desktop. Oversee strategy, architecture, integration, and high-impact technical decisions for reliable user experiences.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Leads global AI quality, accreditation, and conformity assessment activities, including obtaining EU AI Notified Body designation, developing regulatory processes, and ensuring consistent certification practices. The role advises internal teams and customers, represents BSI in international technical forums, establishes competency criteria, supports regulatory programs, identifies process improvements, and shapes the AI and machine learning business strategy. It requires expertise in global AI regulations, quality management, legislation, technical product areas, stakeholder influence, and people leadership.