Top Machine Learning Jobs in London

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 Senior Product Designer will lead the creation of user-centric digital products, focusing on UX, UI, and AI integration in financial services and energy.

Lead global design, governance, and deployment of quantitative financial crime detection models and risk-rating engines. Translate regulatory requirements into algorithmic controls, calibrate monitoring and screening thresholds, validate models, and partner with Product, Engineering, and investigations teams to minimize false positives while maintaining detection performance. Represent model logic and tuning to regulators and banking partners.

Provide clinical guidance across sales, implementation, product, and support teams for InterSystems health information solutions. Engage senior clinical and executive stakeholders, lead demonstrations and workshops, support procurement and digital transformation, and translate clinical requirements into solution narratives to drive adoption and product strategy.

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.

Intern will collaborate with Quantitative Researchers to design, develop, test, and deploy software solutions for automated trading systems.

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.

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.

The intern will work on developing high-performance research platforms, create tools for trading strategies, and collaborate with teams to innovate financial technology.

The Trading Risk Analyst supports sales and trading, manages trade processes, analyzes P&L, and collaborates with teams on technology and operational workflows.

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

Join an 8-person technical graduate cohort to build production software and AI-driven features for an insurance platform. You'll work in engineering teams on automation, product features, and model development, collaborate with product and customer teams, complete a final project and a Model Development certification, and receive mentoring and L&D support to transition into a full-time role.

Lead Product Analyst for Onboarding responsible for analyzing registration and account access data, driving product decisions, building automated pipelines and dashboards, defining KPIs, and partnering cross-functionally to reduce friction, prevent fraud, and enable AI-driven automation.

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

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.

Lead pricing strategy and analytics for growth, manage a high-performing team, and implement advanced data practices. Drive strategic vision and influence board-level decisions.

Design, build and maintain highly available distributed backend systems to improve KYC and onboarding flows for EU/UK customers. Implement scalable verification solutions, translate product requirements into technical designs, own technical roadmaps, ensure code quality via TDD and reviews, and collaborate with product, data and engineering teams to deliver end-to-end onboarding initiatives.

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

11-week internship building high-performance research platforms and trading tools. Work in small teams on distributed systems, NLP/ML applications, and web frameworks while collaborating with senior engineers.

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.

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

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.

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.

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.

The Lead Data Scientist will enhance fraud detection models, develop machine learning features, and collaborate with the Fraud Risk Team to mitigate risks against financial crime.