Top Python Jobs in London

Lead first-line risk and controls for Global Payments & Trade: deliver executive reporting and governance, manage escalations and remediation, identify emerging risks, enhance controls and processes, ensure audit/regulatory readiness, and partner across business, compliance, legal and audit while mentoring the team.

Lead and deliver audience research and insight projects end-to-end for global clients, producing questionnaires, managing suppliers, analysing datasets, and presenting actionable findings. Support strategy, tech integration, and new-business pitches while collaborating with data technology teams to operationalise audience data into WPP platforms.

Senior QA Automation Engineer to own and extend an in-house automated testing platform for a hedge-fund client. Full-stack development (React/JavaScript front end, Python back end), CI/CD and IaC (GCP, Terraform), AI-driven requirement interpretation and test generation, integrations with toolchain and enterprise design system, governance, auditability, and production adoption. Mentor a predominantly manual QA team and deliver production-grade, agent-orchestrated testing capabilities in a fast-paced London-based environment.

Lead liquidity and market risk analysis, stress testing, and model ownership for CLS. Assess onboarding impacts, respond to market events, automate LMR processes, implement benchmarking models, and produce risk reporting for stakeholders and regulators.

Lead end-to-end technical onboarding and connectivity integrations for institutional clients and trading counterparties. Manage implementations involving APIs, FIX, platform configuration, timelines, and stakeholder coordination. Configure and validate client environments, troubleshoot integration issues with engineering, and produce onboarding documentation and best practices.

Own and build end-to-end credit and fraud models for a B2B BNPL product: design, deploy, monitor, and improve supervised ML on tabular and time-series data, collaborate with product and risk, and develop pipelines and monitoring for portfolio performance.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The Cloud Infrastructure Engineer will design scalable cloud infrastructure, manage multi-cloud environments, and ensure system availability while collaborating with development teams and optimizing CI/CD processes.

Lead the internal trading desk, manage $20M+ in liquidity, develop strategies, oversee capital management, and integrate with engineering.

Develop and maintain front-end and back-end components of AI-driven products, collaborating with teams to enhance user experience and build proof of concept products.

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 Staff/Principal Machine Learning Engineer, you will optimize and scale multimodal inference systems, ensuring high performance and reliability in production environments.

As a Lead DevOps Engineer, you will build and deploy cloud-based infrastructure, automate deployments, and lead a team in delivering secure environments for data analytics using various technologies.

The Senior Software Engineer leads project subsystems, mentors junior engineers, and designs scalable SaaS solutions while optimizing performance and ensuring code quality.

Lead the development and architecture of new data services and products around clinical insights, focusing on data analysis and reporting.

Develop and implement quantitative models for hedging strategies, analyze market data, and monitor power markets to optimize performance and inform trading decisions.

The Scientist drives innovation in genomic analytics, focusing on polygenic risk scores and targeted therapeutics, utilizing statistical techniques for data analysis.

As a Senior Scientist, you will innovate and develop methods for Polygenic Risk Scores using genomic and clinical data, applying statistical techniques and leading projects within the team.

The GNSS Engineer will develop and certify next-gen GNSS applications, conduct testing, support software development, and engage with customers across lab and field environments.

The Senior Product Engineer will develop technical plans, write Ruby code, mentor engineers, and collaborate with product teams to enhance customer service solutions.

The Developer Relations Engineer will create and distribute technical content, educate developers on AI, engage with the community, and represent Modal at events.

Owner of developer-facing content and reference pipelines for ML training data workflows. Produce cookbooks, benchmarks, demos using real datasets, advocate internally for developer needs, answer user questions, and represent the company at conferences and workshops.

As a Senior Software Engineer, you'll architect, build, and deliver features, collaborate with teams, maintain CI/CD pipelines, and support team members in technical matters.