Top Python Jobs in London

As a Senior Solutions Architect, you'll design integration solutions for insurance clients, lead technical evaluations, and guide sales cycles, ensuring seamless onboarding and integration of hx Renew.

Lead strategic projects to improve EMEA customer experience and uplift operational functions. Use data-driven analysis (SQL/R/Python, BI) to solve problems, align stakeholders, track progress, surface risks, and execute special deep-dive requests from leadership.

Lead and scale a global FCC monitoring and testing programme to validate AML, sanctions, and KYC/KYB controls. Build data-driven continuous assurance, oversee system-encoded control validation, produce executive reporting, drive remediation, and represent the function in regulatory exams and audits while managing a global team.

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.

Lead and build a global second-line risk assurance program for Airwallex, designing risk-based monitoring and testing frameworks, moving to continuous data-enabled control validation, overseeing testing across financial, operational, technology, and regulatory risks, managing remediation and reporting to senior leadership, maintaining regulator- and audit-ready evidence, and representing the firm in regulatory exams and partner reviews while building a high-performing global assurance team.

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.

As a Senior Solutions Architect at MongoDB, you'll design scalable systems, guide customers in leveraging MongoDB technology, and collaborate with sales teams to drive solutions while ensuring customer success.

The Product Analytics Manager will own liquidity management, perform stress testing, optimize tradeoffs, and define the risk strategy for Wise's product portfolio while partnering with senior stakeholders.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Lead and grow multiple mobile engineering teams building M&S native iOS and Android apps. Drive technical excellence, architecture, automation, CI/CD, testing and operational ownership. Partner with Product and Delivery to set strategy, OKRs, and deliver reliable, scalable customer-facing mobile experiences while fostering talent, communities of practice, and continuous improvement.

Lead high-value analytics projects: translate business questions into analysis plans, run exploratory and diagnostic analysis, apply statistical and quasi-experimental methods, evaluate initiatives, quantify impact, and coach analysts while shaping analytical standards across Marketing & Sales.

As a Senior Software Engineer at Relay, you will tackle challenging problems, collaborate with talented teams, and have a direct impact on the company's growth through software development and optimization tools.

Design, build and maintain infrastructure automation using PowerShell, Python, Terraform and Ansible; create BitBucket CI/CD pipelines; apply SRE principles for observability and reliability across Office 365, VMware, AWS and Azure; mentor peers, participate in on-call rotations, and embed security and governance into automation workflows.

Join the Marketing Analytics team to build and own Marketing Mix Modelling pipelines, clean and structure time-series marketing data, calibrate models with experimental results, run budget scenario simulations, query user data with SQL, collaborate on data pipelines, and communicate econometric and machine-learning insights to stakeholders to inform multi-million-pound marketing decisions.

Lead the technical direction for cloud infrastructure and delivery platforms, architect and operate secure, scalable Azure/AWS environments, design CI/CD and IaC, productionize AI solutions, own incident response and reliability improvements, and provide hands-on technical leadership and standards across teams.

Lead pricing-focused data science work: develop and deploy ML models for claims, fraud and risk KPIs; perform deep portfolio analysis using diverse datasets; own end-to-end delivery from concept to production; identify new data opportunities and mentor junior analysts.

Lead analysis and development of insurance pricing solutions using new and existing data. Own end-to-end delivery of pricing changes, monitor performance metrics, identify trends, extract value from datasets, and support the development of junior analysts.

Lead end-to-end pricing analysis and deployment for alternative pricing; explore new datasets, propose pricing changes, monitor performance metrics, and support junior analysts. Innovate pricing solutions using SQL and Python to improve risk assessment and profitability in UK motor insurance.

Develop and deploy pricing and risk models for motor insurance using diverse datasets. Own end-to-end ML projects from EDA to production, evaluate post-deployment performance, identify new data opportunities, and mentor junior analysts to improve pricing, claims prediction and fraud detection.

Design and deliver AI, ML and advanced analytics solutions on the Microsoft Azure stack from discovery through production. Lead technical direction, run consultative workshops, manage client stakeholders, support presales, mentor colleagues, and contribute to internal and external communities.

Lead and grow mobile engineering teams (iOS/Android), set technical strategy and OKRs, drive architecture, CI/CD, testing and reliability, partner with product and delivery, hire and coach managers, and ensure operational excellence across native mobile apps.

Design, build, and maintain no-code/low-code and custom-code automations for influencer programs: discovery, onboarding, contracts, content tracking, reporting, and payments. Own integrations, webhooks, error handling, secrets management, and data validation (SQL) while partnering with marketing, finance, legal, and BI.

Lead analytical work to inform high-value decisions: translate business questions into analysis plans, run exploratory and diagnostic analysis, design statistical models, experiments and quasi-experimental methods to quantify impact, and coach analysts while shaping analytics standards and best practice.