Top Python Jobs in London

Develop and apply sequence‑modelling ML techniques to DNA to interpret variants, discover genes, and model regulation. Train, fine‑tune and evaluate models, collaborate with computational and experimental teams, leverage large-scale datasets, design robust biological evaluations, and integrate ML advances into translational target discovery.

Design, build, and maintain scalable data infrastructure and pipelines to support BI/MI workloads. Manage ETL/ELT processes, optimize performance and availability, resolve data quality issues, enforce security and governance, conduct code reviews, mentor engineers, and collaborate with product, data science, platform, and business teams.

Build, operate, and automate large-scale GPU/compute infrastructure for ChatGPT. Design platforms for capacity planning, scheduling, fleet health, observability, incident response, and AI-powered operational tooling to improve reliability, utilization, and developer productivity across thousands of GPUs.

Build, maintain, and improve Depop's core backend platform services. Design scalable, reliable systems; own features end-to-end; improve observability, deployments, and operational safety; collaborate across engineering, product, security, and data; mentor peers and contribute to long-term architecture.

Develop and deploy credit risk and behavioural models for US unsecured loans and credit cards using machine learning. Translate business problems into data questions, run experiments, implement models, monitor performance, and communicate results to stakeholders.

Lead and deliver high-impact AI projects for life-sciences clients: define data science approaches, design robust software architectures, mentor junior data scientists, manage project delivery, build client relationships, and contribute to thought leadership.

Build and deploy production-grade ML software, tools and infrastructure; create reusable, scalable ML solutions; collaborate with engineers, data scientists and commercial leads; lead technical scoping and architecture; define deployment standards; advise clients and stakeholders on ML feasibility and delivery.

Design, develop and deploy machine learning models for large-scale demand forecasting. Improve accuracy, robustness and explainability; evaluate offline and online performance; collaborate with engineers to productionise models; prototype new modelling approaches and contribute to scientific direction and knowledge sharing.

Build and maintain Ebury's AML platform, delivering high-reliability, low-latency services for real-time sanctions screening and transaction monitoring. Design event-driven systems, own features from discovery to delivery, ensure observability and resilience, write testable code with CI/CD and Terraform deployments, mentor engineers, and collaborate with product and compliance for audit-ready solutions.

Build and own the user-facing Aura Graph Analytics experience: design accessible React/Tailwind UIs, create backend APIs, implement data persistence, integrate third-party services, improve internal support tooling, and collaborate with product, design, backend, and SRE to deliver scalable, reliable graph-analytics features.

Lead and execute Technology Resilience and Production Operations strategy, build a Centre of Excellence, manage incident/problem/change/release processes, ensure service continuity and regulatory compliance, run disaster recovery exercises, deliver dashboards and MI, manage vendors and budgets, and lead a global team to improve stability, security and operational performance.

Lead global pricing strategy and modernization for wholesale and specialty insurance, driving analytics, AI/ML integration, pricing model governance, catastrophe and transaction-level pricing support, and talent development to improve underwriting performance and return on capital.

Evaluate and onboard cross-asset market data feeds, maintain and enrich reference databases, improve data QA, liaise with vendors, produce analytics and reporting, support product development and client requests across TCA, venue analytics and trade surveillance.

Design and optimise global credit decisioning and pricing strategies using data and predictive models. Collaborate with Risk, Product, Commercial and ML teams to monitor models, propose features, and deliver commercial insights to maximise customer funding within risk appetite.

Partner with GTM leadership to turn GTM data into actionable insights and influence pipeline, conversion, and campaign ROI. Build and maintain analytics foundations (SQL, dbt, Snowflake), enable AI-driven self-service (text-to-SQL, semantic models, Cortex Analyst), ensure data quality across Salesforce/Marketo pipelines, and present findings to executive stakeholders.

Work with power market data to build and deploy BESS revenue modelling features, maintain forecasts and data feeds, coach an AI analyst (Ko), and manage end-to-end product releases for regional customers.

Lead advanced statistical and machine learning analyses to generate actionable business insights; partner with cross-functional teams to design data-driven solutions; manage large datasets with strong governance; develop and maintain predictive models to forecast trends; communicate findings to stakeholders and stay current on industry technologies.

Lead first-line risk and controls for Global Payments & Trade: deliver executive reporting and governance, manage escalations and remediation, identify emerging risks, enhance controls and processes, ensure audit/regulatory readiness, and partner across business, compliance, legal and audit while mentoring the team.

Provide Level 2 technical support for enterprise market-data and infrastructure products; perform root-cause analysis, escalate to engineering, own customer technical inquiries, contribute to support tooling and knowledge management, and participate in scheduled on-call rotations for a global client base.

Design, implement and extend high-performance C++ functionality for pan-European equities trading systems. Own features end-to-end, ensure quality and production readiness, diagnose and resolve production issues, mentor engineers, interview candidates, and provide out-of-hours support as needed.

Lead and deliver audience research and insight projects end-to-end for global clients, producing questionnaires, managing suppliers, analysing datasets, and presenting actionable findings. Support strategy, tech integration, and new-business pitches while collaborating with data technology teams to operationalise audience data into WPP platforms.

Lead design, quantization, and deployment of edge-native SLMs and knowledge analytics to air-gapped, bandwidth-constrained tactical hardware. Ensure JSP 936 Dependable AI compliance, build on-device graph/datapipelines, reproducible MLOps for low-bandwidth environments, and advise MoD stakeholders.

Lead development of secure, resilient web applications, APIs, and microservices for MoD programmes while integrating native Android (Kotlin/ART) background services, IPC/AIDL, and tactical data routing (CoT). Ensure Secure by Design and Def Stan compliance, automate CI/CD/DevSecOps pipelines for cloud and air-gapped environments, and mentor mid-level engineers during Agile client delivery.

Support exposure management and risk aggregation processes by preparing, analyzing, and delivering aggregated and modeled exposure data. Assist regulatory reporting, syndicate roll-ups, analytics, automation of processes, and stakeholder reporting while collaborating with underwriting, actuarial, and capital modelling teams to monitor limits and inform risk decisions.

Lead commercial and analytical interpretation of growth models to guide marketing investment, forecasting, elasticity, and portfolio trade-offs. Drive cross-functional alignment among Marketing, Product, Finance, Analytics and game teams, improve model governance, coach analytics teams, and translate complex model outputs into clear recommendations for senior stakeholders to inform growth decisions.