Top Machine Learning Jobs in London

Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.

The Senior Service Designer will create customer-centric products and services, lead workshops, and oversee design delivery while incorporating AI capabilities.

Lead strategy, roadmap, and delivery of AI-enabled products and platform capabilities across payments. Define responsible AI governance, partner cross-functionally to build, deploy, monitor, and commercialize agentic AI and LLM solutions, drive adoption of the Agent Factory, and measure business value, risk mitigation, and platform KPIs.

Lead MGA pricing strategy using statistical techniques and machine learning. Build and maintain pricing models, monitor portfolio risk, recommend price adjustments, evaluate product profitability, create insights and dashboards, and mentor junior analysts while collaborating with underwriting and data science teams.

Lead the development of AI-enabled products within a consulting environment focused on financial services and energy, utilizing modern AI tools and methodologies.

Lead TIDAL's product and brand design vision, drive complex end-to-end design initiatives, define systems and standards, pioneer AI-driven design, partner with Product/Engineering/ML, mentor designers, and identify new business opportunities to elevate artist-focused products.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.

Design, build, test, and maintain scalable regulatory reporting applications and data pipelines. Translate regulatory requirements into technical solutions, investigate reporting exceptions, reconcile data, optimize processing frameworks, and support the full software development lifecycle with monitoring and automation.

The AI Deployment Architect will collaborate with customers to design and implement AI and automation solutions, ensuring alignment with their business strategies. This role involves working closely with product and engineering teams, leading training, and developing scalable solutions and use cases across the Celonis platform.

As a Senior Lead AI Solutions Consultant at Braze, you will increase revenue by promoting the AI portfolio, leading demos, and educating stakeholders about AI solutions while fostering collaborative relationships with clients.

Conduct original research applying machine learning, deep learning, and NLP to extract patterns from large and unstructured datasets; implement and back-test algorithms in high-quality code; document findings and collaborate with trading teams to deploy research-driven models.

Join the Scam Prevention team to design, build, and operate backend (80%) and frontend (20%) systems that prevent scams. Deliver scalable controls, CI/CD pipelines, resilient data schemas, and production-quality code while collaborating with Product, Data Science, and Investigations to protect customers and automate fraud detection.

As a Data Analytics Principal Consultant, you'll lead data transformation initiatives, mentor consultants, and engage with stakeholders in financial services to drive data literacy and innovation.

Lead Remitly's global Markets & Trading function (London or New York), owning FX execution strategy, liquidity architecture, partner negotiations, risk management, P&L accountability, and a team of traders. Drive commercial outcomes, integrate treasury strategy with product and growth, implement automation and AI-assisted analytics, and ensure resilience across diverse corridors and stressed markets.

Lead end-to-end finance transformation: define roadmap, architect finance systems, redesign procure-to-pay/order-to-cash/record-to-report/FP&A processes, implement ERP/automation/AI solutions, drive change management, and measure outcomes to scale global finance operations.

Conduct quantitative research and statistical analysis on crypto markets to develop, backtest, and implement automated trading strategies. Work with large and unconventional data sets to build valuation models, refine algorithms, and deploy signals in live trading to drive P&L growth.

Lead the technical strategy for Samsara's Sustainability products, designing data-intensive systems to improve fuel and electric vehicle energy efficiency. Mentor engineers and drive technical decisions on sustainability initiatives.

Lead bioinformatics strategy and execution across Discovery client engagements. Design and implement computational multi-omics workflows, translate biological questions into analytical frameworks, deliver client-ready insights, mentor junior staff, support business development, and help grow internal bioinformatics capabilities and thought leadership.

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

Lead data science initiatives for global marketing at Wise, focusing on building actionable models for marketing effectiveness and ROI. Drive growth strategy by partnering with various teams, mentor data science staff, and innovate in developing advanced marketing models.

Lead the AML Risk data science team to design, build, and deploy ML systems (unsupervised, semi-supervised, supervised, GenAI) for global AML detection. Hire and mentor specialists, develop detection controls, performance testing, decisioning layers, operational integrations, and maintain production-grade Python services and automated model pipelines.

Lead the fraud data science efforts: maintain and improve risk models, develop new ML features and intelligence, analyze data for risk patterns, collaborate with fraud investigators and engineers, and document and report model performance to reduce impact on legitimate customers.

Design and build highly available distributed backend systems for EU/UK onboarding. Improve KYC flows, create scalable verification solutions, adapt regional onboarding, own technical roadmaps, translate product requirements, ensure code quality, collaborate cross-functionally, and lead projects from inception to release.

Senior Data Scientist embedded in international teams to ingest, validate, and transform partner oncology data into research-grade datasets. Build and automate scalable pipelines, apply ML/LLM techniques to unstructured EHR data, and collaborate with cross-functional stakeholders to develop and deploy real-world data products.