Top Python Jobs in London

Design and optimize overseas risk-control strategy and tools; manage anti-fraud and chargeback countermeasures; perform user/merchant data analysis; develop risk indicators, monitor daily risks, and produce reports to guide process optimization and business decisions.

Design, develop, test, deploy and maintain search and recommendation systems. Translate business needs into technical requirements, optimize code, coach engineers, manage priorities, and improve processes. Work onsite in London to drive product impact for Joybuy.

Lead and mentor an algorithms team to design, develop, and optimize search and recommendation models. Oversee traffic distribution, experimentation, scalable deployment, and performance evaluation to improve personalization, conversion, and engagement while collaborating with product, engineering, and business teams.

Design, build, and maintain scalable ETL/data pipelines and storage to support analytics and ML across international markets. Ensure data quality, compliance (e.g., GDPR), monitoring, and automation. Collaborate with data scientists, product teams, and stakeholders to deliver reliable datasets and contribute to the data infrastructure roadmap. Onsite in London.

Design and deliver an operational multimodal sensing stack combining EO/LWIR cameras, radar, LiDAR, and IMUs. Own sensor selection, synchronization (PTP/PPS/hardware triggers), calibration, safety concepts, system architecture, lab bring-up, and data-quality tuning for defence AI deployments.

Support deployment of analytics platforms across specialty insurance divisions, develop and deliver models, lead analytics projects, drive client engagement and sales support, present results and recommendations, and collaborate with global teams to embed best practices.

Lead media measurement and analytics for global clients: design experiments, build measurement frameworks (brand/conversion lift, MMM, MTA), deliver campaign insights, manage stakeholder relationships, coordinate data engineering and vendor solutions, and support commercial pitches.

Measure product and commercial impact using experimentation, quasi-experimental and observational causal inference. Design experiments, apply statistical and ML methods, build reusable analytics, partner with product and engineering, and communicate insights to stakeholders to support evidence-based decisions.

Lead and coordinate company engagements to capture ESG intelligence, maintain stewardship databases, support quantitative ESG assessments, and develop AI-enabled stewardship tools using Python, SQL, and generative AI. Communicate insights to portfolio managers and produce stewardship reporting.

As a Senior Platform Engineer, you'll design and support digital service platforms, ensuring quality, scalability, and security while collaborating with teams to improve services.

Design and execute automated tests for onboard embedded software across operating systems, hardware platforms, sensors, middleware, and integration points. Validate systems in hardware-in-the-loop environments, debug issues across software and hardware boundaries, collaborate with engineers to close test gaps, and contribute to CI pipelines and reusable test frameworks. The role supports earlier developer testing and expanded validation coverage for autonomous driving systems.

Develop and test Generative AI and LLM applications in Python, including RAG systems, prompt workflows, AI agents, and API integrations. Evaluate model performance, reliability, accuracy, and responsible AI considerations while collaborating with engineering, data science, and product teams. Contribute to documentation and Git-based development, learn emerging AI technologies, and help deliver production-ready solutions.

Partner with AI engineering teams to develop metrics, design driving experiments, analyze real and simulated driving data, and identify improvements to the Wayve AI Driver’s functionality, safety, and performance. The role requires advanced statistical analysis, production SQL, data visualization, actionable insight generation, and cross-functional influence. Experience with machine learning, causal inference, Bayesian methods, and distributed computing is desirable.

Own complex technical customer issues from investigation through resolution by debugging logs, APIs, databases, code, and production systems. Partner with customers, product, and engineering to identify root causes, distinguish bugs from product gaps, and drive lasting improvements. Create documentation, troubleshooting guides, internal tools, and scalable support workflows. Strong Python and SQL skills are required, while hardware, testing, measurement, and technical data experience are valued.

Own Acra’s secure release lifecycle across cloud, on-premise, hybrid, and air-gapped environments. Build CI/CD pipelines, reproducible offline artifacts, infrastructure-as-code and GitOps delivery frameworks. Implement cryptographic signing, SBOM generation, vulnerability gating, immutable audit trails, and compliance evidence. Partner with platform, security, and application engineering teams to improve release reliability, testing, versioning, rollback, and deployment automation.

Build and own a full-stack international tax platform with a strong frontend and UI focus. Translate complex transfer-pricing concepts into intuitive, data-dense interfaces, including entity graphs, intercompany flows, compliance views, and documentation. Collaborate with tax specialists and finance leaders, develop features end to end, maintain the design system and component library, write SQL and backend changes, and proactively improve customer experience while shipping quickly.

Own the architecture and delivery of fiat-to-crypto payment infrastructure, including bank and card integrations, payment orchestration, risk and compliance decisioning, double-entry ledgers, reconciliation, wallet operations, and reliable blockchain transactions. Build fault-tolerant APIs, webhook systems, event-driven services, observability, and operational safeguards for a 24/7 platform. Collaborate with Product, Mobile, Compliance, Risk, and Finance teams while participating in production on-call.

Own and deliver large-scale backend infrastructure projects end to end, including architecture, deployment, monitoring, and impact measurement. Build reliable distributed systems, performant APIs, database and processing systems, and production services that operate under heavy load. Contribute to code reviews, testing, rollouts, and mentoring while solving complex problems autonomously and planning for significant future scale.

Supports Emerging Markets Equities product management by preparing client presentations, pitch decks, reports, marketing collateral, investment commentary, RFPs, RFIs, DDQs, and ESG questionnaires. Performs portfolio and market analysis covering performance, attribution, risk, macroeconomic data, and trends. Maintains product data and messaging across systems, responds to client queries, and contributes to product development, competitor analysis, process improvement, automation, and strategic initiatives.

Manage and evolve AWS and secure on-premise platforms, provide L3 production support and 24/7 on-call coverage, maintain CI/CD pipelines, and build infrastructure across Kafka, databases, identity, caching, and replication services. Improve automation, observability, testing, security compliance, and service resilience while supporting deployments and ITIL-aligned incident, problem, and change management in secure government environments.

Lead complex data and analytics workstreams while designing scalable solutions with SQL, dbt, Python, and modern data platforms. Drive data modeling, testing, CI/CD, documentation, reliability, and incident resolution. Partner with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products, reporting, and commercial insights. Mentor engineers, delegate effectively, influence stakeholders, and help shape technical strategy and roadmaps.

Own the UK and EU analytics strategy, reporting ecosystem, and operating model. Lead a team of analysts, partner with senior leaders, establish trusted metrics and dashboards, build scalable data models and self-service capabilities, and translate performance data into commercial, product, and operational recommendations. The role also supports international growth, aligns with global data teams, improves prioritization, and uses AI and automation to increase analytics impact.

Infrastructure Engineers will join a newly formed infrastructure engineering team. Responsibilities require production experience with AWS or configuration management tools, scripting in Go, PHP, Bash, or Python, and running Docker in production.

Secure products and cloud infrastructure through threat modeling, security reviews, vulnerability management, detection and response, secure cloud and Kubernetes baselines, policy-as-code, automation, and software supply-chain controls. Partner with engineering and operations teams to implement secure-by-design solutions and influence the product roadmap.

Investigate autonomous vehicle issues across hardware, software, models, and robotic systems. Analyze on-road fleet data, identify root causes, reproduce issues through simulation and offline testing, and develop automated investigation workflows. Collaborate with engineering, operations, safety, and model development teams to resolve incidents, improve AV performance, and strengthen safety practices. Communicate findings through dashboards, visualizations, and clear technical explanations.