Top Python Jobs in London

Lead quality engineering across multiple squads by defining test strategies, automation architectures, quality gates, and non-functional testing approaches. Lead API, UI, and end-to-end automation, promote observability and security testing, mentor engineers, manage QA workstreams, and advise stakeholders on quality and delivery trade-offs. The role also drives adoption of DevSecOps, service virtualization, synthetic test data, and emerging testing practices within a hybrid consultancy environment.

Lead customer-facing delivery of production-grade data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML integrations, and guide customers through adoption. Collaborate with engineering, product, support, project managers, and executives; manage technical scope and outcomes; resolve implementation challenges; and create reusable frameworks and best practices. The role requires enterprise client engagement, technical leadership, cloud expertise, distributed computing knowledge, and approximately 20% customer travel.

Analyze customer behavior, revenue, profitability, costs, and business initiatives across UK Insurance. Build forecasting, predictive, statistical, and impact-measurement models; translate complex data into recommendations for Product leaders; support strategic decisions; provide commercial insight; lead complex analytical projects; and mentor junior analysts.

Build and own backend acquisition technology for iwoca’s German market. Responsibilities include designing Python backend systems, relational databases, data pipelines, REST APIs, HubSpot tooling, third-party integrations, lead-value and attribution systems, and production machine-learning features. The role involves shaping technical strategy, optimizing acquisition funnels, collaborating with marketing, sales, product, and data science teams, and owning projects from discovery through delivery.

Leads Ipsen’s AI Programming capability within Biometry, establishing strategy, standards, governance, and operating models for AI-enabled programming and automation. Manages clinical data scientists, AI programmers, and application developers while delivering ML, LLM, data products, and applications for clinical and R&D use cases. Partners across Biometry, IT, data and analytics teams, and external vendors to ensure validated, secure, scalable, reproducible solutions and drive organizational adoption.

Design, implement, integrate, and maintain cloud security tooling across Bupa’s cloud environments. Own CSPM, CWPP, CIEM, and CNAPP capabilities; integrate security platforms with cloud and enterprise systems; develop infrastructure-as-code controls, automation, and APIs; monitor platform security and availability; ensure regulatory alignment; and provide technical leadership, coaching, and stakeholder collaboration.

Leads financial modelling and analytics engagements for public and private sector clients. Responsibilities include designing, building, reviewing, and improving financial models; developing data automation and dashboards; supporting strategy, proposals, business development, quality management, and risk procedures; managing client relationships; and coaching project teams.

Lead product development for post-trade Derivatives Clearing (Futures, OTC, FXPB), owning roadmap, P&L, revenue projections, and regulatory compliance. Drive platform enhancements, connectivity to clearinghouses, margin/treasury workflows, collateral optimization, MIS automation, stakeholder coordination (Operations, Technology, Sales), testing/releases, and client-focused product awareness while managing risks and control requirements.

Partner with large UK private-sector clients from early ideation through production planning. Provide technical advocacy, solution design, validation project management, best-practice guidance, and expertise across networking, cybersecurity, edge computing, Internet performance, and Cloudflare technologies. Explain complex concepts and ROI, support customer buying decisions, collaborate with internal specialists, and contribute to technical knowledge sharing. The role includes significant in-region travel to customer offices, conferences, and events.

Build and deploy end-to-end data science and AI solutions, including scalable data pipelines, machine learning and generative AI workflows. Translate product and business questions into measurable analytics use cases, analyze product data, establish evaluation and monitoring practices, and collaborate with product, engineering, and analytics teams to deliver business impact.

Provides second- and third-line support, engineering, automation, and continuous improvement for Microsoft Azure platform services. Responsibilities include Azure infrastructure management, Infrastructure as Code using PowerShell and Bicep, Python automation, CI/CD support, monitoring, incident resolution, security, cost optimization, project delivery, and operational readiness. The role collaborates with architects, stakeholders, vendors, and technology teams to deliver reliable, standardized, and supportable cloud services.

Set global cloud architecture standards for Rubrik Professional Services and serve as the final technical authority on strategic, high-risk engagements. Lead multi-region and multi-cloud designs, advise executive customers, partner with Sales and Product, define service offerings, and build reusable reference architectures, automation, templates, and delivery accelerators. Mentor architects, establish technical standards, influence product roadmaps, represent Professional Services externally, and guide cloud security, compliance, data protection, and cyber resilience practices.

Supports a front-office trading desk by maintaining, validating, and reconciling financial product data across internal databases and external APIs. Automates reporting workflows using Python and SQL, validates data published externally, identifies coverage gaps, and responds to ad hoc requests. Collaborates with trading, engineering, product, research, legal, risk, and distribution teams while developing knowledge of ETFs, ETPs, crypto markets, blockchain, and DeFi.

Build and maintain scalable batch and near-real-time data pipelines, reusable data models, and production-grade data infrastructure. Improve platform architecture, CI/CD, infrastructure as code, data quality, testing, governance, observability, and cost efficiency. Collaborate with Data Science, MLOps, Product, and commercial teams to deliver reliable AI and audience intelligence solutions while mentoring colleagues and communicating with stakeholders.

Lead product-focused data science work: run quantitative analyses and large-scale A/B tests, enable product teams with measurement, drive lifetime value analysis with finance, and partner with engineers to ensure correct data collection and actionable insights.

Own MGA portfolio risk and technical pricing analysis, maintaining statistical and machine-learning pricing models using Python, R, SQL, and specialized pricing tools. Identify market trends, recommend price adjustments, assess new product profitability, create underwriting dashboards, and communicate insights to business partners. The role also includes mentoring junior analysts and collaborating with underwriting and data science teams.

Design, build, test, and operate real-time streaming data solutions using Spark and Flink. Develop agentic workflows, AI tool integrations, backend services, MCP components, and secure APIs. Apply large-scale data processing to telemetry, contribute to AI platform architecture, and improve engineering processes, documentation, and operational practices.

Own the post-sale technical relationship with customers, leading onboarding, architecture reviews, production launches, cluster health checks, usage reviews, and technical escalations. Partner with Support, Engineering, Product, and Solutions Architecture to resolve issues, communicate customer requirements, improve adoption, and drive technical success, expansion, and retention.

Own analytical deliverables and medium-sized insight projects supporting product, business, and digital performance. Use SQL, Python, statistical methods, Tableau, and analytics platforms to identify trends, evaluate user behavior, design experiments, and optimize product features. Partner with stakeholders to define metrics, scope projects, communicate findings, and provide actionable recommendations. Analyze product lifecycle data to improve adoption, engagement, and retention while supporting junior team members.

Build, maintain, scale, and improve Depop’s search and recommendation systems serving over one million daily users. Collaborate with product managers, data scientists, mobile, web, and backend engineers to design solutions, write high-quality code, manage workflows and data throughout their lifecycle, and document features. The role includes working with distributed systems, retrieval technologies, databases, message queues, ML-driven systems, testing, DevOps practices, and continuous improvement processes.

Build and operate an AWS-based security analytics platform, including a security data lake, telemetry pipelines, metrics frameworks, executive dashboards, regulatory reporting, and continuous control assurance. Integrate cybersecurity and risk datasets, develop KPI and KRI reporting, implement Terraform and CI/CD automation, and provide trusted insights into cyber risk, control effectiveness, vulnerabilities, and remediation performance for technology leaders, regulators, auditors, and the Board.

A 10-week technology internship at a multi-strategy hedge fund. Interns join a technology team and contribute to data ingestion, high-performance processing, modeling, portfolio and risk management, trading execution, post-trade analysis, and strategic projects. The program includes mentorship, professional development, trading simulations, collaboration with investment professionals, and presentations to senior leaders.

Supports Markets Treasury by optimizing balance sheet, capital, liquidity, leverage, and other financial resources. Partners with trading desks to analyze profitability and resource consumption, assesses regulatory changes, advises on infrastructure offerings, and develops analytics tools. Collaborates with technology, data, and quantitative teams while communicating complex financial concepts to stakeholders and managing multiple projects.

Lead EMEA Markets Treasury resource management across balance sheet, capital, liquidity, and leverage. Partner with trading desks and Corporate Treasury to optimize financial resource usage, analyze desk profitability, assess regulatory impacts, and provide guidance on clearing, collateral, and liquidity products. Develop treasury analytics and data tools with technology and quantitative teams while advising senior stakeholders on financial resource strategy.

Develop and productionize generative AI products and augmented reality Lenses focused on image and video generation, editing, and LLMs. Build diffusion and flow-matching pipelines, evaluate open-source models and third-party APIs, and rapidly ship consumer-facing solutions. Collaborate with Product, Engineering, Lens Content, and Data Science teams to prototype, integrate, monitor, and improve models using A/B testing and user feedback. Lead complex technical initiatives while staying current with machine learning research.