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.

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 implement AI infrastructure for cross-border e-commerce: optimize GPU scheduling on Kubernetes or Ray, improve cluster high-availability and fault tolerance, build efficiency evaluation models, and introduce cutting-edge AI infra technologies.

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.

Build rapid prototypes and automation tools to remove operational bottlenecks across the MFG team. Design improved workflows, develop POCs and internal products, integrate with platform APIs (Google Ads, DV360, CM360, BigQuery), deploy solutions on GCP, and create diagnostic/tracking systems while enabling teams and championing automation 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.

Hands-on senior developer role building and enhancing low-latency, server-side Java pricing components for Rates and FX electronic trading. Work with quants and traders to integrate models and market data, develop pricing controls, build simulation/back-testing, perform automated testing, and deploy to development/test/pre-production environments while supporting CI/CD and operational support rotas.

Coordinate and improve ArchiCAD-based BIM workflows across projects, enforce UK BIM Framework/ISO 19650 standards, perform clash detection and QA, manage CDE file exchanges, develop templates/libraries, provide training and technical support, and identify workflow efficiencies across RIBA stages.

Operate and improve production systems to ensure reliability and performance. Maintain monitoring, alerting, and observability (Splunk, CloudWatch, Grafana); automate repetitive tasks with scripting and Terraform; support incident response and on-call rotation; troubleshoot distributed systems across application, infrastructure, and network layers; assist scalability, performance tuning, and CI/CD improvements.

Lead SRE responsible for reliability across customer-facing systems using SLOs/SLIs/error budgets. Own incident command and on-call, drive automation (Terraform, CI/CD), transition from ECS to EKS, optimise capacity and performance for high-concurrency events, implement observability (Splunk, CloudWatch, Grafana, Quantum Metric), prioritise SRE backlog, and mentor teams while reporting reliability metrics to leadership.

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.

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 development of measurement methodologies and causal inference for product and commercial decision-making. Design experiments and quasi-experimental approaches, prototype statistical and ML solutions, embed best practices into platforms, mentor data scientists, and influence senior stakeholders to scale evidence-based decisions across PlayStation.

Design, build and maintain BigQuery-backed marketing and sales dashboards in Looker Studio; perform marketing, retail and customer experience analysis; define data models and KPIs (uplift, baseline, market share, halo); combine sell-out, market and campaign datasets; deliver insights and presentations to stakeholders; support onboarding, promotions, and persona development using platforms like GWI.

Design, develop and automate data pipelines ingesting transactional, social and geographic data. Build crawlers and APIs, develop algorithms and statistical models (including clustering) for large-scale graph data, and improve infrastructure and internal tools.

Design and deliver marketing measurement using Python, causal inference and geo-experiments. Combine multiple data sources, translate findings into commercial recommendations, manage simultaneous projects, and partner with marketing and analytics to improve measurement capability.

Design, prototype and deploy scalable ML solutions (recommendation, search, audio models) using GCP tooling. Collaborate with engineering, data engineers and product to productionize models, maintain ML APIs, and improve MLOps, CI/CD, and data architectures to deliver real-time ML features.

Design, operate, and scale highly available distributed systems for telemetry ingestion. Automate reliability, participate in on-call incident management, evaluate resilience and DR, collaborate with app teams, and use AI tooling to reduce toil.

Partner with customers, sales, and engineering to design, run, and analyze A/B tests and experimentation programs. Advise on experimental design, statistical methodology, measurement frameworks, and infrastructure. Create repeatable frameworks, technical content, and enablement while influencing product and platform roadmap. Provide hands-on technical consulting and education to scale trustworthy experimentation practices.

Lead data product strategy for Global Markets, defining semantic layers and data products across client, trade, market and risk domains. Drive adoption of governed data, partner with stakeholders to set roadmaps and OKRs, translate business needs into production-grade data, analytics and AI solutions, and ensure governance, lineage, quality and regulatory compliance.

Lead design, build, and productionalisation of AI and intelligent automation across Microsoft low-code and pro-code stacks. Deliver Copilot/agent experiences, Power Platform solutions, and Azure AI Foundry models. Own integrations, MLOps/LLMOps, governance, Responsible AI, technical leadership, mentoring, and driving enterprise adoption of agentic solutions.

Partner with business functions to design, build, and deploy AI-powered low-code solutions (Copilot, Claude). Lead end-to-end delivery, integrations, reusable components, compliance (EU AI Act, GDPR), adoption, and proof-of-concept assessments.

Own and build the KYC customer verification product: define vision and roadmap, lead engineers and cross-functional teams, translate regulatory and risk needs into product specs, track KPIs, optimize verification journeys, and continuously improve onboarding and due diligence.

Design, build, and maintain data pipelines, warehouses, and automations using Microsoft Fabric and Azure. Ingest and transform data via APIs and ETL/ELT, create test plans, implement security models, optimize performance, support business adoption, and document solutions while collaborating with stakeholders and development teams.