Top Python Jobs in London

Own customer production readiness and activation for Temporal deployments, establish reliability and operational standards, resolve complex technical issues, and lead KPI-driven technical programs. Guide customers through architecture, migrations, scaling, observability, upgrades, and production certification while enabling developers and architects through training and documentation. Partner cross-functionally to drive adoption, renewals, and growth.

Deliver and support enterprise identity and access management capabilities, including JML lifecycle processes, application onboarding, provisioning, RBAC, access governance, authentication, and directory integrations. Troubleshoot identity issues, develop API-based integrations, support testing and deployment, document technical procedures, and collaborate with security, infrastructure, application, and business teams. Contribute to IAM automation, optimization, and continuous improvement.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports and content notes, communicate findings to clients, and improve research processes and data quality. The role requires strong finance and capital markets interest, analytical thinking, attention to detail, clear communication, and the ability to work under time pressure with incomplete information.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Produce accurate summaries, auditable calculations, scenario analyses, and concise research notes for professional audiences. Validate internal tools and workflows, identify errors and missing assumptions, and help improve research processes, templates, and data quality. The role requires strong analytical judgment, quantitative fluency, attention to detail, and a strong interest in financial markets.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports, communicate findings to clients, and improve research processes and data quality. The role requires finance and capital markets interest, Python and Excel experience, strong analytical and written communication skills, attention to detail, and the ability to prioritize effectively under time pressure.

Own AWS infrastructure, Microsoft 365 and Entra ID, Windows and macOS endpoint management, internal networking, automation, backups, disaster recovery, and support operations. Manage Jira tickets, access requests, joiner-mover-leaver processes, documentation, and service-level agreements. Lead assigned security and compliance controls across ISO 27001, Cyber Essentials Plus, NHS DSPT, and DTAC, support audits and remediation, handle security questionnaires, and participate in incident response.

Generate actionable insights from complex customer, behavioral, lifecycle, and product data. Collaborate with product, commercial, CRM, content, and leadership teams to define analytical questions, test hypotheses, measure business impact, and support evidence-based decisions. Present clear data stories, challenge assumptions, promote data-driven decision-making, and automate recurring reporting and analysis.

Supports daily PMO operations by consolidating project updates, maintaining RAID logs, building portfolio metrics and dashboards, and coordinating governance forums. Automates PMO workflows across Jira and Confluence using Python, develops lightweight internal tools, and manages documentation quality. Owns selected small-to-medium projects, coordinating stakeholders across engineering, business, and operations while tracking risks, dependencies, milestones, and delivery progress.

Build and maintain reliable financial datasets for quantitative researchers and traders. Responsibilities include extracting, cleaning, aggregating, and onboarding data from diverse sources; developing robust extraction processes; investigating data quality issues; and improving onboarding tools. The role requires close collaboration with researchers, traders, engineers, management, and external data providers in a fast-paced quantitative investment environment.

Develop and optimize high-frequency, low-latency cryptocurrency trading systems. Implement alpha and trading algorithms, encode market-specific rules, and collaborate with traders and quantitative researchers to build efficient research platforms and tools. The role requires robust C++ development on Linux, cloud-based HPC familiarity, Python skills, technical problem-solving, and effective communication in an international environment.

Design, build, and maintain backend services and APIs for a multi-tenant SaaS cash forecasting platform. Own PostgreSQL schemas, query performance, data integrity, testing, deployments, automation, observability, and performance optimization. Contribute to React frontend work, collaborate on technical solutions, participate in code reviews and on-call rotation, and use AI tools to improve development productivity.

Leads Babyzone’s data, impact measurement and evaluation strategy across its national hub network. Builds end-to-end data infrastructure, longitudinal outcome tracking, dashboards and trusted reporting systems; operationalises evaluation measures including the Parent Confidence Index and Good Level of Development analysis. Designs hands-on AI and automation workflows, ensures data protection and ethical governance, works with academic partners, supports policy influence, and builds organisational data capability through team leadership and frontline engagement.

Research and live-trade systematic alpha signals across futures and FX markets. Responsibilities include managing the research pipeline from data acquisition and signal construction through robustness testing, monetization, and post-live analysis. The role also involves portfolio construction, risk analysis, large-scale data handling, collaboration with researchers, technologists, traders, and stakeholders, and mentoring junior researchers.

Analyze Spotify’s planning and execution data to develop hypotheses, statistical and machine learning models, data pipelines, dashboards, and actionable recommendations. The role translates complex operational and strategic information into narratives, reports, and decision frameworks for leaders. It also explores AI and automation for faster insight generation and collaborates with data scientists, engineers, product managers, and business partners across the company.

Develop and maintain Python applications, services, data processing solutions, and scalable ETL/ELT pipelines. Integrate structured and unstructured data from APIs, databases, files, and streaming systems while ensuring quality, performance, reliability, and security. Collaborate with engineering and architecture teams, contribute to data platform design, implement testing and monitoring, and support technical documentation and engineering standards.

Prepare daily P&L and risk reports, analyze commodity trading risk drivers, monitor limits, support new product approvals, develop forward-curve methodologies, reconcile with accounting teams, contribute to risk committees, review Endur changes, and ensure trading control compliance across LNG, power, and emissions markets.

Lead the architecture and technical standards for production GenAI systems, including retrieval, evaluation, data pipelines, agentic workflows, reliability, cost, and latency. Build the most complex components, approve high-risk AI systems, establish shared engineering foundations, and mentor senior engineers. The role partners with engineering and product leadership, influences hiring and reviews, and translates emerging industry developments into practical architecture decisions.

Build and lead production-grade Generative AI software for document extraction, classification, translation, fraud detection, and workflow optimization. Own architecture, technical roadmaps, scalable services, model and prompt evaluation, testing, code reviews, and regulatory requirements including resilience, explainability, and auditability. Mentor engineers and collaborate with Risk, AI platform teams, and senior stakeholders in a regulated banking environment.

Design, develop, and maintain embedded software for low-power microcontrollers and Linux-based detection systems. Lead technical investigations, define requirements and interfaces, contribute to architecture, perform testing and code reviews, and collaborate across hardware and systems teams. Own software work packages, support Agile delivery, improve engineering practices, and mentor junior engineers. The role focuses on mission-critical chemical and explosive trace detection technology.

Leads data analytics consulting projects, develops global analytics and technology offerings, and provides thought leadership for regulatory, compliance, investigations, and business matters. Designs data models, dashboards, statistical analyses, and risk-based methodologies; manages client requirements, proposals, budgets, timelines, and delivery. Supports business development, mentors junior staff, communicates with stakeholders, and advises on complex, multi-jurisdictional engagements. International travel may be required.

Provide end-to-end internal IT support, managing Jira tickets, SLAs, access requests, Microsoft 365 and Entra ID administration, and Windows/macOS device lifecycles. Provision and maintain endpoints using Intune and Kandji, manage joiner/mover/leaver processes, and maintain asset and patch records. Support security, compliance, audits, questionnaires, and incident response. The role offers progression into systems administration, including automation, identity and access management, AWS infrastructure, resilience, and compliance ownership.

Build and steward Databricks lakehouse solutions across EMEA and APAC, including agentic workflows, AI governance, semantic models, data models, and automated ingestion pipelines. Troubleshoot production failures, optimize performance, resolve data quality issues, and improve reporting. The role requires advanced SQL, Python, PySpark, Databricks, Azure, data modeling, and systems thinking, with opportunities to work on geospatial processing, master data management, and AI-amplified engineering practices.

Designs, builds, and maintains scalable AWS data platforms, ETL/ELT pipelines, data models, and processing workflows. Uses Python, SQL, infrastructure-as-code, CI/CD, monitoring, and data quality practices to deliver secure and resilient solutions. Collaborates with architects, security specialists, and clients; troubleshoots complex issues; establishes engineering standards; and mentors other engineers. The role also requires technical ownership and consideration of governance, access control, and regulated-environment requirements.

Lead the design, delivery, and operation of secure AWS cloud infrastructure, infrastructure-as-code, CI/CD pipelines, containerized workloads, and DevSecOps practices. Own Terraform-based automation, monitoring, observability, troubleshooting, and technical decisions across client engagements. Collaborate with architects, security specialists, and clients while establishing engineering standards, mentoring engineers, and improving reliability and delivery efficiency.

Design and run experiments assessing AI control measures, build adversarial attacks against monitors and sandboxes, and conduct security analyses of frontier AI deployments. Develop reusable ML tooling, automate attack and evaluation loops with LLMs, operate model-training and serving infrastructure, and produce rigorous research and decision-relevant reports for industry and government.