Top Python Jobs in London

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

The Senior Data Scientist will lead the delivery of data science solutions, mentor teams, and develop ML models to address business challenges.

Customer-facing consultant delivering advisory and technical Nexthink services: design outcome-driven use cases, implement and configure products, build dashboards/alerts/automations, integrate via scripting/APIs, analyze endpoint data, troubleshoot, drive adoption, and document solutions to achieve measurable business outcomes.

Designs, builds, maintains, and improves Windows, virtualization, cloud, data center, identity, and access infrastructure. Responsibilities include automation, infrastructure as code, security hardening, patch remediation, monitoring, performance tuning, technical documentation, mentoring junior staff, and on-call support.

Integrate third-party systems, internal applications, SharePoint, and Microsoft 365 with Databricks. Build reusable data products, internal applications, and AI-enabled workflows for fund management, asset management, and finance. Establish access, security, cost-management, deployment, and documentation standards while consolidating legacy workflows and partnering with central data platform teams.

Develop and deliver portfolio risk analytics for asset-backed finance strategies, including exposure, concentration, performance tracking, stress testing, monitoring, and reporting. Build production-ready analytics code, document models, improve data quality and reconciliation, and support regulatory, audit, and governance reporting. Translate risk and business requirements into actionable insights for investment, portfolio management, capital markets, and investor relations stakeholders.

Develop and deliver portfolio risk analytics for asset-backed finance strategies, including exposure analysis, concentration monitoring, performance tracking, stress testing, outlier investigations, and reporting. Build production-ready Python analytics, improve data quality and scalability, reconcile heterogeneous datasets, and automate reporting. Collaborate with Risk, Investment, Technology, Capital Markets, and Investor Relations teams while supporting portfolio construction, regulatory reporting, audits, and governance processes.

Deliver hydraulic modelling and flood risk projects from inception through completion. Build and interrogate 1D and 2D models using Flood Modeller and TUFLOW, prepare technical reports and Flood Risk Assessments, conduct site visits, liaise with clients and regulators, and support project planning and quality assurance. The role also contributes to multidisciplinary water environment projects and develops the organization’s hydraulic modelling capability.

Serve as Datadog expert for partner channel: onboard, train, and enable partner technical teams; support migrations, modernization, demos, proofs of value; advocate partner technical needs internally; collaborate with product, engineering, and partners to drive adoption and prioritize features.

Build and maintain the Linux distribution foundation for Graphcore platform releases: develop automated pipelines, run and diagnose Linux test suites, create system images, and validate upstream software changes to produce production-ready releases.

Serve as a technical advisor on Apple device management for prospects, customers, and internal teams. Deliver product demonstrations, technical deep-dives, onboarding support, troubleshooting, and escalations. Collaborate with Sales, Support, Success, Product, and Engineering; create technical resources and training materials; relay customer feedback to influence the product roadmap; and maintain expertise in MDM standards, networking, directory services, security, and SSO integrations.

Leads the design and delivery of secure, scalable, LLM-enabled applications spanning APIs, user interfaces, orchestration pipelines, vector databases, and enterprise integrations. Builds reusable AI tooling, SDKs, and governance processes; deploys solutions across cloud environments; ensures observability, operational excellence, and responsible AI compliance. Partners with business stakeholders, architects, security teams, and strategic vendors to prioritize high-value use cases, guide platform strategy, and deliver production-ready systems.

Analyze and price non-life reinsurance transactions across the full lifecycle, including data review, modelling, execution support, and portfolio monitoring. The role partners with underwriters and senior actuaries and requires reserving, pricing, or portfolio analysis expertise, strong communication skills, and advanced Excel capability. Python or R experience is advantageous.

Supports enterprise sales by delivering technical presentations, product demonstrations, workshops, RFP responses, and proof-of-concept implementations. Translates customer requirements into practical observability solutions, positions products against competitors, supports sales teams throughout the sales cycle, and provides technical account management for key accounts. Requires experience with APM, AIOps, monitoring tools, system administration, scripting, networking, and databases. Regional travel is required for client meetings and events.

Own and evolve HPC infrastructure supporting CPU- and GPU-intensive engineering simulations, including cluster administration, scheduling, performance tuning, and capacity planning. Provide escalated IT support, administer identity and access controls, support developer tooling and cloud environments, and implement zero-trust and compliance practices. The role also requires strong networking, automation, scripting, troubleshooting, mentoring, and process-building skills in a scale-up environment.

Partner with sales teams to guide customers through technical discovery, solution validation, demonstrations, proofs of concept, and technical wins using the Auth0 Identity Platform. Explain identity, security, and application technologies to audiences ranging from developers to executives, maintain deep product knowledge, support sales and marketing events, and build customer relationships. The role is hybrid in London, with regular customer and office engagement.

Support the design, build, maintenance, and automation of Boku’s Azure-based enterprise infrastructure. Responsibilities include Infrastructure-as-Code with Terraform, identity and access management, networking and firewall administration, PAM, Power Platform automation, Python and PowerShell scripting, endpoint management with Intune and Kandji, SaaS administration, compliance hardening, documentation, and change control. The role also contributes to AI-driven operational tooling while collaborating with senior infrastructure engineers and cross-functional teams.

Performs business-focused data analysis, SQL reporting, dashboard development, root cause investigations, data profiling, and proof-of-concept analytics. Partners with stakeholders, customers, BI, data engineering, and product teams to translate business needs into technical solutions. Uses Azure data platform technologies, Python, and Power BI to develop insights, improve reporting, support data governance, and influence data-driven decisions.

Develop and support enterprise quantitative engineering platforms for energy trading risk, positions, and valuations. Build scalable backend services, APIs, desktop tools, and cloud-based solutions; integrate quantitative models; improve architecture, performance, testing, and deployment processes; and provide production support. Partner closely with traders, front-office users, quantitative developers, and analytics teams to gather requirements, resolve complex issues, and deliver reliable technology solutions in a fast-paced trading environment.

Build, operate, and scale CrowdStrike's global backbone and hybrid cloud networks. Design and implement IP and optical solutions, drive capacity planning, evaluate technologies, automate with IaC and CI/CD, support cloud networking, lead projects from ideation to implementation, and participate in 24x7 on-call rotation.

Design, operate, and scale large distributed systems for telemetry processing. Build automation, use AI tooling to reduce toil, ensure availability and disaster recovery, participate in on-call incident response, troubleshoot production AWS/Kubernetes environments, and collaborate with application teams to meet SLOs/SLAs.

Build production-grade agentic AI infrastructure for operational automation, including memory, context management, tool-calling, orchestration, evaluation, observability, and feedback loops. Develop reliable LLM workflows, coding-agent systems, and multi-agent architectures while partnering with operational and product teams to automate complex workflows across acquired agencies. Influence architecture, engineering standards, and reusable AI primitives in a remote, early-stage team.

Build and maintain backend services and APIs for a fintech platform using modern Python tools. Design scalable, secure systems, integrate third-party services, implement async and event-driven workflows, investigate distributed system issues, contribute to architecture and code quality, and mentor peers in a collaborative product team.

Own end-to-end underwriting strategy for non-prime and near-prime unsecured lending. Design and optimize application scoring, affordability, pricing, credit lines, decisioning rules, and portfolio monitoring. Present recommendations to leadership, Credit Committee, the Board, and regulators while partnering with Finance, Fraud, Collections, Marketing, and Product. Use SQL or Python to analyze performance, identify risk trends, source better data, and rapidly implement evidence-based strategy changes.

Design, build, deploy, and optimize distributed big-data ingestion, standardization, and ML pipelines at scale. Support platform reliability, cost controls, security accreditations, and customer integrations. Serve as technical lead in client meetings, mentor engineers, and recommend tools and best practices for data pipeline development and deployment.