Top Python Jobs in London

The Senior Site Reliability Engineering Manager oversees SRE teams across regions, ensuring high availability of trading platforms, leading projects, and managing incident responses.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design decisions, implements data pipelines, integrates ML/AI models, collaborates cross-functionally, delivers technical projects, embeds with customer teams, and contributes reusable assets to scale impact.

Lead design, deployment, and operation of scalable Kubernetes and cloud infrastructure. Own infrastructure-as-code, automation, and self-service tooling. Drive incident response, platform reliability, and cross-team collaboration while mentoring engineers and partnering on multi-org platform standards.

Design, build, and operate internal developer platforms and production-ready infrastructure. Manage Kubernetes clusters, IaC (Terraform/Pulumi/CDK), CI/CD pipelines, secrets management (Vault), and SRE/security practices. Support AI/ML platform needs (GPU scheduling, model serving, MLOps, vector DBs) and lead client-facing technical discovery, documentation, and coaching.

Build and maintain React front-end components and responsive UIs for a control plane; orchestrate agentic harnesses (Claude) to generate, validate, and test code; contribute to Python/FastAPI back-end APIs; create templated archetypes and golden-path tooling; collaborate with UX; ensure performance, security, and testing-first maintainability.

Lead an engineering function to build, test, and ship software, driving CI/CD and automated deployments (AWS, containers), trunk-based development, TDD/BDD and pair programming. Automate Salesforce regression testing, enable push-to-production workflows, review AI-assisted coding practices and IDE/model choices, benchmark engineering tooling, and influence stakeholders to drive engineering change.

Design, build, and operate DeepL’s Databricks-based lakehouse and ingestion infrastructure (Kafka, dlt). Enable AI-powered data workflows via connectors and integrations, implement data observability and quality frameworks, and steward infra-as-code, CI/CD, access, security, and governance to provide a reliable, scalable data platform.

Lead and hands-on engineer responsible for designing, building and maintaining public markets operations applications. Guide cross-team delivery, set engineering standards, mentor engineers, manage technical debt, write infrastructure-as-code for CI/CD, collaborate with stakeholders and architects, and ensure operational stability, security and testability across the application estate.

Validate, challenge and enhance firmwide risk and quantitative models across asset classes; produce validation reports; present findings to governance committees; support model development and ML model monitoring; design automation and tools to improve risk processes and monitor business-critical tool performance.

As an Advisory Systems Engineer, you will advise clients on maximizing their Arista investments, focusing on operational optimization and driving technology adoption while building strategic customer relationships.

The Network Systems Engineer provides pre-sales technical support, architects networking solutions, conducts presentations, and leads RFP responses for Public Sector customers.

Design and deliver enterprise-level data solutions using Azure tools and SQL analytics, focusing on data insights and customer satisfaction.

Design and backtest ESG, climate, and sustainability-focused index methodologies. Conduct quantitative research, manipulate large datasets, and support index construction using Python and SQL. Collaborate with data, product, and sales teams, participate in client projects to refine methodology, and contribute to new product development and sustainability research.

Lead portfolio management for a growing unsecured lending product (Flex), building forecasting and monitoring frameworks, risk-based pricing, lifecycle engagement and loss-mitigation strategies. Manage and grow a team of credit analysts, collaborate across product squads, and partner with Legal, Compliance and 2nd Line Risk to scale the portfolio safely while driving commercial outcomes.

Design and build network automation frameworks, IaC solutions, CI/CD integrations, APIs and observability for large-scale network provisioning and lifecycle management. Partner with Network, Platform and Security teams to ensure reliability and support incident response.

Operate and evolve foundational infrastructure services including Terraform Enterprise, Active Directory, Jenkins and self-hosted platforms. Automate provisioning and lifecycle management, ensure monitoring, backups and recoverability, collaborate with platform and application teams, and participate in on-call incident response and continuous improvement.

Lead design and implementation of secure, scalable cloud data architectures; drive adoption of AWS/Azure/GCP services; collaborate with data engineers to deliver data for analytics; assess data management technologies, promote data governance, mentor staff, and articulate architectural trade-offs to improve data quality and delivery supporting business roadmaps.

Design and build rules-based indices and custom benchmarks, perform quantitative backtesting, author methodology rulebooks, engage clients, and coordinate cross-functional operational integration to launch tradable index products.

Engineer resilient Inter-Office trading integrations and automated workflows for LMEsmart. Develop and evolve automated test tooling, frameworks, and test suites; manage test environments; optimise JVM performance and low-latency, high-throughput services; provide MI/reporting and collaborate with IT and business stakeholders to improve compliance, recovery automation and matching performance.

Provide on-site IT support on a live trading floor: triage incidents, desktop and multi-monitor workstation setup (Windows and Unix/Linux), manage Hybrid AD/Entra ID onboarding/offboarding, administer Atlassian/Teams/Slack, troubleshoot hardware/software/networking, automate repetitive BAU via PowerShell/Bash/Python, maintain automations, update runbooks, participate in shift rota and office moves.

Support, configure and maintain desktop, server and network systems across Windows, Linux and macOS environments. Troubleshoot end-user issues, manage Windows domain infrastructure (AD, Group Policy), support MDM (Workspace ONE/Jamf), monitor critical systems, and build automation (PowerShell/Bash/Python) to reduce manual toil and scale IT operations.

As a Senior Quantum Algorithm Researcher at NVIDIA, you will lead projects on AI methods for quantum algorithm discovery and develop hybrid quantum-classical applications, collaborating with supercomputing centers and industry partners to drive innovation and customer adoption.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Provide real-time, text-based mentoring and feedback for middle and high school students preparing for math contests and STEM classes. Answer questions, give hints, and encourage students during live weekly classes (Sundays 7:20–9:00 pm ET). Assist with contest-focused and regular subject classes in math, Python, physics, and chemistry.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.