Top Python Jobs in London

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.

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.

Drive product decisions for Wise’s regional expansion by developing KPIs, analyzing product launches, forecasting, running experiments, and creating data assets. Partner with product managers, engineers, and analysts to identify growth opportunities, translate data into compelling narratives, and improve customer and product outcomes across international payments.

Leads and develops a team of Forward Deployed Engineers delivering complex enterprise implementations across EMEA. Oversees technical discovery, architecture, custom code, AI agents, integrations, automations, data pipelines, migrations, launches, and customer handoffs. Advises senior customer stakeholders, manages delivery risks and staffing, partners with Sales, Product, CX, and Engineering, and establishes scalable delivery standards, hiring practices, quality processes, and reusable technical assets.

Configure and script software applications, translate business requirements into technical solutions, troubleshoot implementation issues, collaborate with solution architects and business analysts, and document customer requirements for enterprise CPQ and e-commerce solutions.

Leads risk and performance attribution implementation and client onboarding projects for financial services clients. Responsibilities include ETL design, solution architecture, technical requirements translation, stakeholder management, project documentation, delivery coordination, and mentoring junior consultants. The role partners with product, engineering, operations, sales, and pre-sales teams while contributing to SimCorpOne analytics integration strategy.

Build and scale compute infrastructure for AI workloads across large GPU clusters. Responsibilities include cluster orchestration, workload scheduling, resource allocation, quota management, topology-aware placement, runtime initialization, fault recovery, observability, and utilization optimization. The role partners with researchers and model-development teams to deliver reliable infrastructure for distributed training and inference.

Own data science projects supporting partner lending decisions, with a focus on experiment design, causal inference, model building, and funnel analysis. Translate ambiguous commercial questions into actionable analyses, collaborate with product, commercial, strategy, engineering, and design teams, and communicate findings clearly. Help establish analytical methods, evaluate customer journeys and offers, and use AI tools responsibly to accelerate analysis and prototyping.

Leads a global data engineering team and drives delivery of the data roadmap. The role combines people management with hands-on work integrating local systems into global data solutions. Responsibilities include coaching engineers, ensuring high-quality delivery, evolving data architecture, and collaborating with engineers and stakeholders. Required expertise includes AWS services, data warehousing platforms, ETL tools, Python, and data modeling.

Build and ship full-stack product features in a regulated healthcare AI environment. Collaborate with product and design, apply distributed-systems patterns, consume cloud infrastructure, and contribute to engineering quality and ISO 27001 and ISO 13485 compliance. The role involves React and TypeScript frontend development, Node.js/NestJS or Python/FastAPI backend work, production delivery, and event-driven architectures. Healthtech, healthcare integrations, Terraform, and infrastructure-as-code experience are advantageous.

Design, train, and deploy large language models from scratch; convert business requirements into technical specs; collect and process pretraining/fine-tuning datasets; run distributed training on large GPU clusters; support and improve production ML subsystems and tooling.

Apply population and comparative genomics to non-model organisms: build and run pipelines (variant calling, selection scans, phylogenomics), analyze organellar variation, assemble and annotate genomes and pan-genomes, integrate multi-omic data, apply machine learning where useful, collaborate with wet-lab teams, write reproducible code, present results, and mentor teammates.

Build and own full-stack AI platform systems: backend services, data pipelines, frontends, and cloud infrastructure. Integrate LLM agents with lab data, instruments, and databases; prototype and harden agentic workflows; write well-tested code; mentor teammates and drive engineering best practices in a research-focused environment.

Own customer-facing platform implementations from discovery through production. Translate business requirements into workflows, configurations, integrations, tooling, and scalable technical solutions using Python, TypeScript, React, APIs, SQL, and related technologies. Design automated testing, manage GitHub Actions deployment pipelines, troubleshoot technical issues, support customer demonstrations and UAT, and collaborate with Product and Engineering to improve platform capabilities and delivery standards.

Supports pricing of portfolio insurance deals across the lifecycle by preparing data, running models, reviewing outputs, evaluating deal structures, and identifying sensitivities. Performs portfolio monitoring, maintains benchmarks and metrics, develops pricing assumptions and expected loss ratios, and contributes to pricing tools, business planning, and cross-functional initiatives. Provides informal guidance to junior analysts and collaborates with underwriting, reserving, capital modelling, finance, and analytics teams.

Deliver end-to-end Palantir Foundry solutions, including data pipelines, transformations, ontology models, integrations, and production deployments. Translate client requirements into scalable, governed, high-performance data applications using Python, SQL, and PySpark. Collaborate with business and technical stakeholders, lead solution design and implementation, support adoption, and provide technical guidance. The role also contributes to data architecture, testing, CI/CD, data quality, security, and platform engineering best practices.