Top Python Jobs in London

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Build and improve Mozilla’s Add-ons platform, including Python/Django applications, automated moderation pipelines, reviewer tools, DevHub, internal developer platforms, and CI/CD systems. Establish engineering standards, observability, safe deployment practices, documentation, and incident response processes. Debug complex production systems, improve reliability, collaborate across distributed teams, mentor peers, and contribute to open-source development.

Designs, builds, and maintains platform software and deployment tooling across desktop, on-premise, cloud, and air-gapped environments. Responsibilities include production container images, stateful distributed-system upgrades, CI/CD pipelines, infrastructure self-service capabilities, deployment instrumentation, testing strategy, application security, and customer releases. The engineer contributes to architecture, validates specifications, and oversees the quality of AI-generated code while collaborating with engineers, architects, designers, product managers, and stakeholders.

The Senior Data Scientist transforms ambiguous business questions into actionable insights using Python, SQL, statistical methods, forecasting, regression, classification, segmentation, and machine learning. The role involves analyzing complex datasets, validating models, engaging stakeholders, communicating findings to senior audiences, and translating analysis into commercial decisions. Desirable experience includes time-series modeling, churn and propensity models, cloud data platforms, Streamlit, Power BI, and financial services.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

As an Enterprise Sales Engineer, you'll provide technical support during sales processes, deliver presentations to clients, and engage with customers to ensure successful technical evaluations and product integration.

Serve as the technical lead for a portfolio of customers, designing and delivering SaaS integrations, driving adoption and measurable business outcomes, building reusable AI-first delivery artefacts, managing delivery scope and risks, and sharing best-practice patterns across the team.

The Senior Forward Deployed Engineer will lead the technical design and implementation of AI solutions, manage projects end-to-end, and collaborate with teams to ensure successful deployments.

Deliver platform transformation programmes for wealth, asset and banking clients. Lead implementation, integration, migration, testing and deployment activities. Gather and document business and technical requirements, optimise operating models and workflows, support data migration and system integration, and act as trusted advisor to stakeholders, vendors and project leadership.

The role involves driving transformation across investment platforms using Aladdin, supporting implementation, integration, and data migration, collaborating with stakeholders, and optimizing workflows.

The role involves developing cloud platforms, deploying AI services, maintaining systems, and integrating third-party products in cloud environments.

The Product Analytics Manager will own liquidity management, perform stress testing, optimize tradeoffs, and define the risk strategy for Wise's product portfolio while partnering with senior stakeholders.

Develop and support Python microservices, web applications, APIs, integrations, and internal tools. Design reliable, secure, observable distributed systems and deploy services across Kubernetes environments. Collaborate with stakeholders and DevOps engineers on architecture, roadmaps, and delivery while protecting customer data. Investigate complex issues, improve data and automation workflows, and mentor junior engineers in a remote-first team.

Senior Fullstack Engineer responsible for evolving web platforms across MarineTraffic and Kpler Terminal. The role includes migrating applications to a shared Vue and React design system, building BFF layers and microservices, improving monorepo tooling and CI, integrating AI-assisted development tools, and applying resilient architectural patterns. The engineer will mentor teams, establish technical standards, and support platform capabilities used by approximately 20 feature teams.

Build and scale end-to-end web features for Kpler’s flagship products, spanning Vue or React frontend applications, Node.js backend services, and Backend-for-Frontend layers. Maintain shared component architecture and design systems, support micro-frontend platforms, improve developer tooling and CI pipelines, and collaborate on architecture, code reviews, and technical pairing. Use AI-assisted development tools while delivering performant experiences for global users.

Owns client incidents and technical requests throughout their lifecycle. The role triages complex application, infrastructure, and business-flow issues; advises clients on installation, configuration, deployment, connectivity, and product use; documents resolutions; escalates unresolved issues to engineering teams; and participates in a global 24x7x365 on-call rotation. Requires hands-on cloud, containerization, databases, networking, operating systems, blockchain, and application troubleshooting experience.

Lead end-to-end client implementations on the Xfuze platform, from requirements discovery and pre-sales through architecture, configuration, testing, release, and supportability. The role includes designing data and integration solutions, configuring connectors and workflows, developing plugins, extending data models, creating Power BI dashboards, reviewing technical designs, leading implementation engineers, managing stakeholders, and advising clients on best practices and platform capabilities.

Automate testing and quality assurance for cloud-native data platforms, including data lakehouses, pipelines, APIs, and front-end applications. Responsibilities include creating test plans, executing manual and automated tests, managing test data, defining acceptance criteria, reporting quality metrics, supporting UAT and SIT, and improving QA frameworks, onboarding, training, and SDLC processes within an agile cross-functional team.

Lead the technical strategy, architecture, and delivery of growth and engagement machine learning systems. Build production ML pipelines, real-time decisioning, recommendation engines, semantic search, lifecycle models, and experimentation frameworks. Partner with Product, Data Science, and Marketing to improve acquisition, retention, lifetime value, and engagement. Mentor senior engineers while establishing best practices for monitoring, feature stores, reproducible training, and data governance.

Design and deploy enterprise Amazon Connect contact center solutions across voice and digital channels. Build serverless AWS integrations, infrastructure-as-code deployments, contact flows, routing, IVR, WFM capabilities, reporting, and global rollout configurations. Partner with client and AWS teams on architecture, Agile delivery, technical workshops, documentation, and knowledge transfer. The role requires hands-on coding, cloud engineering, Amazon Connect implementation experience, and technical leadership across complex enterprise programs.

Design, implement, and maintain AWS cloud infrastructure, deployment architectures, CI/CD pipelines, high-availability systems, monitoring frameworks, and Kubernetes-based applications. Automate infrastructure with Terraform or CloudFormation, apply security best practices, optimize performance and scalability, and collaborate with development teams and clients to improve deployment workflows and deliver projects effectively.

Design, build, and operate enterprise-grade AI agents and agentic workflows. Integrate multi-provider AI platforms, implement orchestration, retrieval/RAG, observability, and IaC. Partner with clients to define use cases, run POCs, deploy scalable cloud-native systems, measure agent performance, and craft reusable patterns and documentation.

Build and mature security engineering capabilities for cloud-native, regulated trading systems. Design security controls, AI security guardrails, CI/CD and infrastructure-as-code checks, monitoring, incident response, resilience processes, and compliance documentation. Conduct risk assessments, remediate findings, support regulatory audits, and partner with engineering teams to embed security ownership. The role requires hands-on cloud, container, application security, automation, and DevSecOps expertise, with familiarity with CFTC safeguards expectations.

Develop and validate guidance, navigation, and control algorithms for unmanned aircraft systems. Responsibilities include designing controllers and state estimators, simulating navigation performance, calibrating sensors, analyzing flight-test data, executing algorithm evaluations, and collaborating with aerodynamics, flight mechanics, embedded software, hardware, and testing teams.

Build and maintain full-stack web applications and automations for Central Operations using Python, FastAPI, React, and Next.js. Deliver tools used by operations teams, improve workflows through intelligent automation, and collaborate with Product, Data Science, and Analytics. Contribute to technical direction, apply strong engineering practices, and explore generative AI and LLM solutions to improve customer support, fraud prevention, complaints processing, and operational efficiency.