Top Python Jobs in London

Lead trading strategy development and execution for a commodities portfolio, manage risk, conduct analysis, and identify opportunities.

Build and lead high-throughput data pipelines on Wise’s Trino and Iceberg lakehouse using Medallion Architecture. Develop streaming and batch data transformations, reconciliation checks, financial data models, and reporting-ready datasets. Collaborate with finance, product, and engineering stakeholders, optimize infrastructure costs, maintain data quality, and mentor engineers through technical reviews and coaching.

Lead data analytics for security, risk, and compliance controls. Build and optimize Python, SQL, dbt, Airflow, and REST API pipelines; develop continuous control monitoring metrics, dashboards, and efficiency frameworks; investigate data quality and SLA issues; and use insights to improve compliance and mitigate risk. Partner with security, engineering, product, risk, and compliance teams while managing and developing one or two analysts.

Build and operate developer productivity tools and shared engineering services used across Wise. Own agentic tooling, security, model access, telemetry, evaluations, and an MCP-based engineering knowledge base. Lead AI enablement through workshops and adoption campaigns, improve developer platforms across the software lifecycle, and use research and data to remove common engineering friction. The role also involves technical leadership, production software ownership, code reviews, system design, and cross-team advocacy.

Develop and refine liquidity forecasting and risk models for Wise’s multi-region treasury operations. Analyze data, model liquidity consumption, support stress-event planning and product launches, and collaborate with engineering teams to deploy scalable solutions. Present model results and risk assessments to senior stakeholders, controllers, and risk teams while translating complex scenarios into actionable business insights.

Leads engineering teams building and maintaining a Generative AI platform that enables experimentation and production deployment of AI systems. Responsibilities include guiding engineering leads, shaping AI enablement and controls, maintaining reliable cloud services, implementing observability and security, managing vendors, and supporting scalable distributed systems. The role requires strong Python engineering, LLM and agentic application experience, cloud microservices deployment, prompt engineering, mentoring, stakeholder collaboration, and product delivery.

Build scalable backend infrastructure for Wise’s centralized risk platform, supporting identity verification, fraud detection, compliance, and product eligibility across global markets. The role involves designing high-throughput services, developing foundational tooling, prototyping and refining solutions, collaborating with platform and product teams, and contributing to technical design and data-driven decisions.

Operate and improve enterprise endpoint security, visibility, zero trust, and network access systems. Responsibilities include incident triage, anomaly investigation, policy tuning, vulnerability remediation, security documentation, cross-functional collaboration, automation with Python and SOAR platforms, and mentoring security engineers. The role supports security investigations and maintains resilient production security systems at enterprise scale.

Supports professional services engagements by scoping, designing, estimating, and deploying LogicMonitor observability solutions. Works with customers, sales, customer success, project managers, and solution architects on requirements, integrations, custom solutions, statements of work, technical feasibility, implementation guidance, and escalations. Researches technologies, develops prototypes and documentation, supports product enablement, and contributes to new services offerings and product feedback.

Leads global governance for Wise’s bank accounts, banking partner access, mandates, signatories, and master data. Owns access controls, Segregation of Duties, approval frameworks, recertification, SOX risk strategy, and operational risk reduction. Partners with Treasury, Product, Engineering, Corporate Security, risk teams, auditors, regulators, and banking institutions while building and leading an international governance team.

Lead the Verification Data Science team supporting KYC onboarding and document verification. Own the data science roadmap, guide cross-functional initiatives, develop and optimize deep learning and machine learning systems, manage image and tabular datasets, maintain Python codebases, and improve production model performance. Lead and develop data scientists through coaching, feedback, hiring, and career support while researching methods to mitigate criminal activity and improve customer experience.

Own the global marketing measurement framework spanning attribution, experimentation, and Marketing Mix Models. Lead two analysts, develop the measurement product roadmap, build scalable attribution features using SQL, Python, and dbt, and generate insights to optimize marketing channels and spend. Partner with marketing, data science, engineering, and finance teams while serving as the subject matter expert on advertising effectiveness and communicating recommendations to technical and non-technical stakeholders.

Lead data science initiatives for KYC and customer onboarding, developing and managing machine learning systems for document verification. Responsibilities include creating image and tabular datasets, iterating on deep learning models, optimizing model performance, maintaining Python code, researching fraud prevention methods, collaborating with stakeholders, and mentoring junior data scientists.

Leads software engineering for infrastructure platforms, designing, developing, testing, securing, and troubleshooting production systems. Builds containerized distributed applications and control-plane architectures, improves operational stability through automation, and reviews code. Drives adoption of AI-assisted engineering practices, secure coding, automated testing, and continuous delivery. Requires advanced software engineering expertise, SDLC knowledge, application resiliency, security, distributed systems, orchestration, and financial-services IT experience. MySQL or similar relational database experience is preferred.

Leads analytics for Wise’s Business Account Squad, managing a team of 5+ analysts embedded in product teams. Partners with Product, Engineering, and Design to identify opportunities, define KPIs, evaluate product impact, and guide roadmap decisions. Owns the analytics data strategy, develops scalable data tools, communicates progress, and drives action. Responsibilities also include coaching, performance management, hiring, capacity planning, and stakeholder management.

Drive product decisions for Wise’s regional expansion by developing KPIs, analyzing product launches, forecasting, running experiments, and creating data assets. Partner with product managers, engineers, and analysts to identify growth opportunities, translate data into compelling narratives, and improve customer and product outcomes across international payments.

Build and deploy production-grade, LLM-enabled applications for strategic enterprise customers. Own backend services, frontend integrations, data orchestration, vector databases, and AI pipelines while working onsite with customer teams. Develop reusable libraries, prompts, SDKs, scaffolds, and documentation; integrate legacy systems; debug distributed systems; optimize performance and observability; and influence the AI platform roadmap. Requires extensive software engineering experience, strong AI/ML tooling knowledge, cloud and DevOps fluency, and travel up to 30%.

Leads Wise’s EMEA Compliance Analytics team, managing 3–4 analysts while delivering regulatory reporting, compliance monitoring, testing analytics, KPIs, automation, and data-driven insights. Partners with Compliance and cross-functional stakeholders across regions and business domains. The role combines hands-on SQL analytics with team leadership, stakeholder management, data governance, reporting pipeline development, tooling, and strategic roadmap influence.

Lead analytics for the Financial Crime Platform, partner with product and engineering to build metrics, pipelines, visualisations, and features for fraud/AML risk models, drive discovery and data-driven decisions balancing risk and customer experience.

Build and deploy production-grade, LLM-enabled applications spanning backend services, data orchestration, vector databases, and frontend interfaces. Work directly with enterprise customers in agile sprints, integrate legacy systems, create reusable SDKs, prompts, libraries, and scaffolds, and influence AI platform strategy. The role requires full-stack engineering, distributed-system debugging, cloud deployment, observability, product judgment, and up to 30% travel for onsite customer engagements.

Develop secure, scalable backend and data solutions using Java, Python, Spring Boot, Databricks, Kafka, and cloud technologies. Responsibilities include designing microservices and event-driven architectures, integrating SQL and NoSQL databases, building data workflows, writing automated tests, reviewing code, troubleshooting production systems, and improving operational stability through automation. The role also contributes to agile practices, AI-assisted development, communities of practice, and enterprise software engineering standards.

Design, deploy, and support scalable backend infrastructure and server architectures. Build and optimize CI/CD pipelines, manage cloud environments and build platforms, improve engineering workflows and tooling, contribute to architecture planning, and support reliable high-availability live services. The role also involves technical communication, best-practice sharing, and collaboration across engineering teams.

Designs and maintains secure software development lifecycle automation, CI/CD pipelines, developer tooling, and internal platform capabilities. Develops Golang utilities, configures GitHub Actions workflows, integrates vulnerability scanning and artifact validation, and supports reproducible builds and deployments. The role also promotes developer self-service through golden paths, documents solutions, trains development teams, evaluates emerging technologies, and collaborates cross-functionally on DevOps and DevSecOps improvements.

As a Software Engineer, you will develop backend services for AI applications, optimize cloud infrastructure, and manage production-level deployments.

Build and maintain a centralized risk platform that unifies data and decision-making across identity, fraud, and compliance. Develop foundational backend services, enable product teams to ship safely at scale, and collaborate with risk and product stakeholders to reduce fraud and improve trust.