Top Python Jobs in London

As a Principal Data Scientist, you will lead complex data science initiatives, mentoring junior colleagues and collaborating with cross-functional teams to enhance business value through data-driven solutions.

As a Senior kdb+ Engineer, you'll design and implement kdb+ architectures, mentor developers, and lead projects for financial institutions, ensuring high-performance solutions.

As a Senior kdb+ Engineer, you will deliver high-performance solutions for financial institutions, lead technical projects, design robust architectures, mentor developers, and drive innovation in kdb+ and time-series data handling.

Collaborate with users to define application requirements, develop and test code, support project delivery, analyze time-series data, and mentor juniors.

As a Senior Site Reliability Engineer, you'll develop automated infrastructure solutions for law enforcement systems, focusing on cloud platforms and coding best practices while collaborating with engineering teams.

The role involves architecting 3D object detection models, managing data pipelines, developing datasets for training, and mentoring junior engineers.

Design, build, and support ETF platform capabilities for portfolio construction, trading, analytics, and operations. Develop Python-based services, SQL ETL and tuned queries, event-driven architectures (Kafka), and cloud-native AWS applications. Implement CI/CD, ensure data quality, observability and lineage, partner with investment teams, institutionalize AI-assisted development, and participate in production support and on-call rotation.

Lead and manage client onboarding and configuration of PlexTrac, develop tailored implementation plans, configure the platform, deliver training and documentation, manage timelines and risks, troubleshoot implementation issues, and liaise with cross-functional teams to drive successful adoption.

The Senior Product Engineer will develop back-end services in Python and PHP, manage large technical projects, ensure code quality, and mentor junior engineers while collaborating within the team.

Administer and optimize private cloud virtualization platforms (VMware, Nutanix, Hyper-V); perform maintenance, patching, vulnerability remediation; troubleshoot Windows and Linux; collaborate with networking and security teams; develop automation (PowerShell/Bash/Python); maintain documentation; participate in shift rotations and 24/7 on-call support to improve platform reliability and performance.

Lead design and operation of production-grade CI/CD and developer-facing delivery infrastructure. Contribute hands-on in Go and Python, improve pipeline reliability and speed, define paved paths and self-service Internal Developer Portal, champion progressive delivery (canaries, automated rollbacks), embed AI tooling into SDLC, and collaborate with cloud platform and engineering teams globally.

Lead a cross-functional engineering team across frontend, mobile and backend; own software architecture area; run development processes, incident response, on-call rotation; grow engineers via feedback and performance management; collaborate with product on scoping and prioritization; define metrics and drive system reliability improvements.

Lead customer engagements to design, prototype, and deploy agentic AI-powered CX solutions. Drive discovery, define architectures, implement POCs/MVPs, integrate with CRM/ERP, build evaluation pipelines, apply governance and responsible AI, mentor teams, and codify reusable frameworks to scale AI orchestration across enterprise accounts.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Senior Software Engineer contributing across the full stack within a product-focused, cross-functional team. Build, deploy, and support scalable cloud-native services using event-driven architectures, improve observability and test automation, collaborate with product and customers, and champion engineering best practices to deliver high-value features.

Develop and implement quantitative algorithms and statistical models to produce and publish forward pricing curves for illiquid commodity markets using Matlab, SQL and Excel; monitor curve performance daily, respond to client requests, update documentation, and collaborate with sales, product and editorial teams.

Lead and enhance SPIVA® Scorecards analytics: build scalable data pipelines, validate and analyse large financial datasets, improve data quality and reproducibility, conduct original research, partner with cross-functional stakeholders, and deliver clear internal and external research outputs while owning sustainable operating models.

This role involves building and operating a data platform, delivering reliable data products, and improving engineering workflows with AI and automation while mentoring junior team members.

As a DevOps Engineer, you'll enhance systems delivered in AWS, automate and monitor infrastructure, and collaborate closely with software teams to ensure operational efficiency.

Own and evolve Xantura's text analytics platform: build NLP pipelines, LLM-based extraction and RAG, manage embedding models and vector DBs, maintain classical NLP components, and design agentic AI while ensuring explainability and Responsible AI for sensitive health and social care data.

Serve as the regional expert for endpoint (macOS, iOS, Windows) platform engineering across the Americas, supporting MDM, Intune/Autopilot, zero-touch deployments, scripting automation, lifecycle management, security integration with Entra ID/Azure AD, monitoring, and cross-functional escalation to global teams.

As an MLOps Engineer, you will build and maintain ML pipelines, develop APIs, collaborate with teams, and enhance AI infrastructure.

Design, build, and maintain scalable, secure full-stack applications using Java and Angular. Lead integration and deployment of agentic AI, implement microservices and event-driven architectures, collaborate with data scientists, and promote CI/CD, testing, security, and best practices. Mentor developers and support the full software lifecycle in a hybrid enterprise environment.

The Quantum Algorithms Engineer will implement and evaluate advanced quantum and classical algorithms, collaborating with a team and supporting Phasecraft's growth.

Build production-grade trading analytics, real-time pricing/risk systems, backtesting/simulation frameworks, and data pipelines for equity derivatives. Partner with traders, quants and structurers to productionise models, deliver desk tooling, and improve performance, scalability and reliability of quantitative applications.