Top Python Jobs in London

Lead end-to-end development of reusable analytical products, translating ambiguous commercial questions into decision-support tools for senior leaders and clients. Build maintainable Python-based products, frameworks, libraries, and templates; support production deployment and ongoing changes; work within software development governance; and review and develop colleagues’ technical work. The role requires consulting skills, clear communication with technical and non-technical stakeholders, ownership, adaptability, and experience delivering analytical products into sustained use.

Supports live analytical products, serves as the first point of contact for users, manages the team backlog and governance process, maintains delivery documentation, and contributes to new product development and deployment platforms. Works directly with consultants and client directors while using Python and related analytical technologies including Shiny, Quarto, Git, and Azure DevOps.

Own analytical products end to end, translating commercial questions from senior leaders into reusable, production-ready solutions. Build Python-based analytics products, frameworks, libraries, and templates; ensure documentation, maintainability, governance, and hand-off. Collaborate with business and client-facing teams, support technical development through code reviews, and adapt delivery to changing priorities. The role requires consulting judgment, strong communication, independent coding, and experience taking analytical products from incomplete briefs through sustained use.

As a Lead Solutions Architect, you'll drive organizational transformation through Data & AI, engage with executive leaders, and mentor teams.

Leads and grows a data science team while remaining hands-on with coding, machine learning, data collection, clustering, attribution, heuristics, and model governance. Defines research direction, hires and develops scientists, builds scalable datasets, ensures model validation and monitoring, and partners across Intelligence, Product, and Engineering. Requires strong Python and SQL skills, modern cloud data-stack experience, AI fluency, technical leadership, and the ability to work with large behavioral or transactional datasets.

Build and maintain data models, ETL/ELT pipelines, schemas, and reporting layers for rights, royalties, and catalogue data using AWS and Snowflake. Investigate revenue discrepancies, support audit and revenue assurance activities, develop SQL and Python transformations, and maintain dashboards in Power BI, Tableau, or Looker. Translate technical data into business insights, assess downstream impacts of system changes, and collaborate with technical and non-technical stakeholders.

Build and maintain Python-based forecasting models for electricity demand, renewable generation, and energy prices in the GB intraday power market. Develop data pipelines, identify novel data sources, automate forecasting processes, and create monitoring checks and alerts. Collaborate with trading, renewables, and flexibility teams while developing software and front-end systems. Apply classical forecasting and machine learning techniques to support real-world energy trading and Net Zero objectives.

Leads support for an Azure-based AI platform, monitoring AI services, model endpoints, infrastructure, and LLM workloads. Responsibilities include incident response, root-cause analysis, on-call support, observability, deployment pipelines, vector databases, data ingestion, automation, runbooks, client onboarding, and escalation management. The role also feeds platform improvements to engineering and product teams while supporting reliable production operation of models, agents, prompts, and RAG components.

Own and develop production-test capability for high-power Hybrid Intelligent Transformers, including test strategy, fixtures, instrumentation, automation, safety controls, data traceability, fault diagnosis, configuration control, and manufacturing transfer. Collaborate with engineering, manufacturing, quality, technicians, and contract manufacturers to validate reliable, repeatable tests, improve throughput and yield, and support safe production of grid hardware.

Build and operate scalable, multi-tenant data infrastructure for millions of Lovable applications. Responsibilities include ingestion, analytical storage, schema management, partitioning, compaction, query performance, isolated agent-written connectors, scheduling, retries, metering, workload isolation, observability, freshness, and recovery. The role requires production ownership across data platform layers while controlling tenant costs and protecting workloads from untrusted or noisy producers.

Define enterprise data architecture, strategy, migration, integration, models, and distributed storage solutions for government and private-sector clients. Provide technical leadership, govern delivery, establish architecture standards, investigate existing systems, and design structured and unstructured data solutions using cloud, big-data, and microservices technologies. Lead, mentor, and develop engineering and architecture teams while communicating solutions to technical and non-technical stakeholders.

Senior Portfolio Accounting Analyst responsible for researching and resolving reconciliation differences between Wellington and banks, custodians, prime brokers, and accounting agents. The role analyzes position, cash, and market value data; identifies break patterns; maintains audit documentation; improves reconciliation processes and controls; and guides outsourced team members. Strong investment accounting knowledge, particularly for fixed income and equities, along with communication, investigation, and data analysis skills, is required.

Design and deliver custom, production-grade full-stack applications and data and AI solutions for strategic Databricks customers. Own architecture, develop backend and frontend systems, integrate data pipelines and AI models, collaborate with customer stakeholders and internal teams, and create reusable accelerators. The role requires strong software engineering across multiple languages and technologies, customer-facing communication, adaptability, and travel to client sites up to 50% of the time.

Partners with global stakeholders to deliver reporting, automation, forecasting, machine learning, and LLM-based solutions. Builds data pipelines, dashboards, and analytical models using SQL, Python, Databricks, and Power BI. Translates complex data into actionable insights for executives and commercial leaders, supporting growth, retention, client experience, and business decisions. Manages multiple projects, communicates findings clearly, and adapts quickly to new data sources and systems.

Engineer and maintain Db2 infrastructure for z/OS, delivering secure, resilient, observable, and sustainable self-service platforms. Responsibilities include infrastructure as code, automation, CI/CD enablement, database design and administration, SQL optimization, DDL deployment, backup and recovery strategy, operational support, observability, and collaboration with stakeholders and users. The role also advises on Db2 projects, resolves production issues, and promotes DevOps and Agile engineering practices.

Manage PostgreSQL and EDB database services across on-premises and cloud environments. Responsibilities include high availability, backup and recovery, replication, monitoring, performance tuning, security, migrations, automation, documentation, incident response, and on-call support. The role requires extensive production PostgreSQL administration, strong Linux and cloud skills, infrastructure-as-code and version-control experience, and expertise with EFM, Barman, PEM, TPA, PgBouncer, and PostgreSQL recovery technologies.

Build and scale reliable, API-driven global payment systems integrating with banks and payment gateways. Translate requirements into maintainable, tested software; collaborate cross-functionally; resolve performance and usability issues; participate in code reviews; manage technical debt; and support operational health and high service-level availability.

Leads systems engineering for autonomous defense systems, translating mission and customer needs into requirements, architectures, interfaces, and verification strategies. Collaborates across autonomy, software, avionics, hardware, and testing teams; develops C++ and Python tools and prototypes; investigates system behavior using simulation, logs, telemetry, and engineering data; and supports integration across software-in-the-loop, hardware-in-the-loop, ground, and flight testing.

Lead research, design, and evaluation of large-scale detection models for automated, fraudulent, and malicious activity. Define measurement frameworks for noisy or incomplete ground truth, mentor data science practitioners, advance AI/ML techniques, and shape long-term detection strategy. Partner with ML Engineering, Data Engineering, and Product teams to influence roadmaps and protect Cloudflare customers from evolving threats.

Provide end-to-end trade and funding operations support for trading desks, including bookings, reconciliations, P&L attribution, risk monitoring, settlement checks, and account setup. Troubleshoot trade lifecycle issues, coordinate with Treasury and brokers, and develop standardized onboarding procedures. Use Python, AI tools, scripts, macros, and RPA to automate manual processes, improve controls, and enhance trading infrastructure.

Designs, develops, and maintains Python-based automated test frameworks, scripts, tools, and reusable test suites for software and hardware products. Integrates automated testing into CI/CD pipelines, performs manual testing, troubleshoots automation issues, documents test plans and results, and collaborates with developers and product teams to improve coverage, stability, and product quality.

Design and maintain Python-based automated testing frameworks for real-time trading systems. Develop test scenarios, documentation, defect investigations, and root-cause analyses while supporting stable test environments and CI pipelines. Act as London’s build and release engineering contact, improving global build processes, release automation, configuration management, and delivery roadmaps. Collaborate with engineering, business, and trading teams across global locations.

Leads and develops a customer-facing Forward Deployed Marketing Engineering team. Responsibilities include hiring, coaching, managing performance, leading onsite customer engagements, setting delivery standards, building partner capability, coordinating account delivery, collaborating with Product and Engineering, and turning successful marketing workflows into repeatable templates and playbooks.

Designs end-to-end network automation and OSS architectures across IP, optical, mobile, SD-WAN, and cloud domains. Creates reference architectures, HLDs, LLDs, APIs, data models, orchestration workflows, inventory models, and observability strategies. Leads Infrastructure as Code, GitOps, Kafka, AIOps, intent-based networking, and closed-loop automation initiatives. Collaborates with technical stakeholders, guides development teams, evaluates tools, and supports standards alignment and implementation.

Join the Data Strategy team to design, build, and maintain cloud-based ETL/ELT pipelines and data services using Python, SQL, Spark, and Databricks. Integrate heterogeneous data sources, prepare curated datasets, support production operations, and contribute to migration and platform modernization efforts for analytics and downstream consumers.