Top Python Jobs in London

Leads the architecture and delivery of enterprise data platforms and analytics solutions. Designs cloud-native warehouses, lakes, lakehouses, semantic layers, integration patterns, governance frameworks, and modern data stack capabilities. Guides technology selection, roadmaps, technical workstreams, proposals, and client engagements while mentoring engineers and establishing standards for security, quality, DataOps, CI/CD, observability, and Infrastructure as Code.

Provides eDiscovery consulting and project delivery for investigations, litigation, disputes, and business issues. Designs workflows for search, review, analytics, processing, productions, and data reduction across complex unstructured datasets. Coordinates with clients and internal teams, performs quality control, interprets requirements, develops innovative data solutions, and supports pitches, training, and business development. Requires strong analytical, research, communication, organizational, and technology skills, along with familiarity with eDiscovery, forensic, database, programming, email, and systems administration tools.

Supports technology, data, automation, and AI audits by assessing governance, controls, model risks, cybersecurity, data quality, and regulatory compliance. Designs analytics, automated testing, dashboards, and AI-enabled tools to improve continuous assurance and audit efficiency. Partners with technology and data teams, translates technical risks into business conclusions, advises auditors, and contributes to internal audit innovation and technology roadmaps.

Build and maintain production-quality data models and reusable analytical datasets using SQL and DBT. Collaborate with product, engineering, operations, and client-facing teams to translate business needs into scalable data solutions. Define metrics and modelling standards, improve documentation and data self-service, and support real-time and incremental processing using Kafka, AWS MSK, MongoDB change streams, and related technologies.

Own and evolve ASOS’s data warehouse, ERP-to-warehouse synchronization, data pipelines, reconciliations, and Power BI reporting. Mentor BI engineers, set technical standards, prioritize team delivery, and build complex solutions using Python, PySpark, Delta Lake, Databricks, Azure, SQL, and dimensional modeling. Partner with Finance, Commercial, Buying, Product, Architecture, Security, and Risk stakeholders while improving platform cost, performance, reliability, governance, and data quality. Support a potential migration from Databricks to Microsoft Fabric.

Lead architecture across multiple corporate and health product teams, designing scalable, secure, cloud-native SaaS and internal platforms. Translate product strategy into practical technical direction, establish reusable architectural standards, guide architecture reviews, and validate decisions through coding and prototypes. Design distributed systems, integrations, APIs, data-intensive solutions, and secure platforms while balancing delivery speed, reliability, performance, and cost. Mentor senior engineers and technical leads and influence execution across teams.

Leads the strategy, architecture, and delivery of scalable analytics engineering capabilities across pricing, risk, derived metrics, and predictive analytics. Oversees distributed systems, real-time and batch computation, AI/ML productionisation, engineering standards, and technical roadmaps. Partners with Product, Research, Commercial, and engineering teams while applying fixed income and derivatives expertise. Builds and scales a high-performing engineering organisation and drives enterprise-wide alignment and innovation.

Develop and test full-stack cloud applications and prototypes using Java, Spring Boot, Python, TypeScript, and Angular. Build REST APIs, integrate microservices and event-driven systems, and create accessible, responsive user interfaces. Work with Azure services, CI/CD pipelines, automated testing, secure coding, and identity management. Collaborate with architects, data engineers, and UX designers during discovery and alpha projects, contributing to sprint planning, code reviews, documentation, and technical validation.

Develop and manage systematic trading strategies across global energy markets. Generate signals using fundamental market data, weather, supply and demand dynamics, physical flows, and alternative datasets. Build predictive models, design new signals, and improve portfolio construction, risk allocation, and execution. Manage the full research lifecycle from idea generation through live deployment and monitoring while collaborating with quantitative researchers, engineers, and data specialists.

Develop and optimize algorithms for cancer genomic variant prioritization and classification. Analyze whole genome and NGS data across the complete workflow, from sequencing quality control through annotation and variant prioritization. Apply statistical and machine learning methods, evaluate analytical tools, and produce reusable, high-quality code using Python, R, Git, and CI/CD practices within a multidisciplinary team.

Design and develop scalable full-stack software, data ecosystems, interactive drug discovery tools, and AI-enabled platforms for scientific research. Lead cloud-native architecture using microservices and event-driven patterns, integrate scientific data and computational workflows, establish engineering excellence across the SDLC, collaborate with research scientists, and mentor developers. The role requires deep backend, frontend, data engineering, cloud, and AI-assisted development expertise.

Two-year cybersecurity graduate scheme with three rotations across information protection, technology strategy and assurance, and cybersecurity services delivery. Participants gain experience in governance, risk and compliance, security consulting, technology assessment, stakeholder engagement, and operational delivery, with potential international rotation. The programme includes professional development, recognized qualifications, project work, and exposure to AI-enabled security tools, automation, and emerging AI security risks.

Investigate a next-generation AI computing architecture across rack and data-centre scales. Design experiments, benchmark AI workloads, analyse hardware-software interactions, and evaluate system performance, scalability, and reliability. Develop automation and tooling to collect, analyse, and visualise system metrics, communicating findings with clear, reproducible evidence while collaborating across engineering teams.

Develop and deploy scalable machine learning models and intelligent systems that improve ASOS decisions, customer experiences, and business outcomes. The role involves applying ML, statistical, and optimization techniques; designing experiments and evaluation frameworks; partnering with engineers to productionize models; and collaborating with product and business stakeholders. The Applied Scientist will also contribute to applied research, technical direction, MLOps practices, code reviews, and organizational knowledge sharing.

Investigate malware and adversary TTPs, hunt for emerging threats, produce threat intelligence reports, develop data-driven detection methods, present findings, and collaborate with product and research teams to improve detection capabilities.

Deploy and operate production AI and machine learning architectures, including batch processing systems, real-time microservices, continuous retraining, and observability. Design sustainable machine learning solutions across the full lifecycle using Python, SQL, modern modeling frameworks, cloud platforms, containers, and deployment pipelines. Apply generative AI and LLM tools while communicating technical trade-offs to technical and business stakeholders.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Leads tax data engineering by gathering requirements, designing and operating scalable ETL/ELT pipelines, developing data models and warehouse structures, and ensuring data quality and observability. Partners with Tax, Analytics, Data Science, and business teams to validate data sources, support new initiatives, document systems, and automate recurring tasks using AI-assisted tools. The role also contributes to project planning, data tooling decisions, issue resolution, and engineering best-practice sharing.

Lead wastewater and urban drainage modelling services for UK water-sector clients. Develop, verify, calibrate, and review InfoWorks ICM models; advise on asset investment, optioneering, detailed design, flood risk, and sustainable drainage solutions. Mentor colleagues, oversee deliverable quality, manage projects, provide client and technical advice, support tenders and business development, and collaborate with multidisciplinary teams across the UK, Ireland, and France.

Lead wastewater and urban drainage modelling services for UK water-sector clients. Develop, verify, calibrate, and review InfoWorks ICM models; advise on sustainable drainage and blue-green infrastructure; manage projects; provide technical client advice; mentor colleagues; support tenders and business development; and contribute to innovative hydraulic modelling tools and services.

Lead wastewater and urban drainage hydraulic modelling for UK water companies, developing and reviewing InfoWorks ICM network models, supporting optioneering and detailed design, and advising clients on asset investment. Promote SuDS and blue-green infrastructure, mentor colleagues, assure deliverable quality, manage projects, support bids and business development, and collaborate across international teams. The role also involves stakeholder engagement, industry representation, and developing automated modelling tools and innovative services.

Lead wastewater and urban drainage modelling services for UK water-sector clients. Develop, verify, calibrate, and review InfoWorks ICM models; advise on hydraulic modelling, hydrological assessment, flood risk, and sustainable drainage solutions. Mentor colleagues, oversee deliverable quality, manage projects, support tenders and business development, and provide technical advice to clients and stakeholders. Contribute to innovative digital tools, automation, and multidisciplinary delivery across the UK, Ireland, and France.

Leads credit and fraud decisioning strategy for consumer lending products, optimizing financial outcomes across unsecured loans and point-of-sale finance. Responsibilities include portfolio optimization, quantitative analysis, KPI forecasting, credit and fraud management information, cross-functional stakeholder engagement, and operationalizing strategy changes with engineering and product teams.

Build and improve the Perch camera system across platform, perception, and ML systems. Design tracking, segmentation, and motion-recognition algorithms; train and deploy ML models to edge devices; develop reliable customer-facing services; analyze production data; and optimize inference performance. The role requires hands-on Python and C++ development, strong backend engineering, distributed or data-intensive systems experience, and exposure to computer vision, ML infrastructure, signal processing, or real-time systems.

Develop production-grade quantitative trading applications for equity derivatives desks. Responsibilities include building real-time pricing and curve-marking tools, reusable libraries, APIs, AI agents, backtesting capabilities, risk analytics, signal-generation systems, and desk workflow tooling. The role partners closely with traders, quants, sales, and technology teams to deliver cloud-hosted, mission-critical solutions supporting pricing, trading, and revenue generation.