Top Python Jobs in London

Develops quantitative investment strategy and index products across asset classes, integrating derivatives-based data and risk premia. Responsibilities include index construction, research white papers, methodologies, client collaboration, business planning, and marketing support. The role also partners with IT on front-to-back architecture and builds scalable Python backtesting, validation, calculation, and publication capabilities while optimizing existing code.

Conduct research on real-world BGP usage and Internet routing behavior using large-scale data, statistics, data science, and AI/ML techniques. Analyze routing dynamics and Internet topology, prototype algorithms and tools, collaborate with researchers, engineers, and product teams, and contribute to production systems, technical reports, and research publications.

Own the availability, performance, reliability, automation, monitoring, and incident response of production SaaS applications across Azure multi-cloud and multi-region environments. Troubleshoot infrastructure and application issues, improve disaster recovery and failover, conduct post-incident reviews, build automation, and implement observability and performance improvements. Participate in weekend on-call rotations and communicate incident updates to customer-facing stakeholders.

Design, build and maintain backend services for real-time and analytical data processing. Own features end-to-end, optimise for low latency and high throughput, ensure observability and incident response, contribute to design reviews, and collaborate cross-functionally to maintain service health and scalability.

Maintain cluster health and service availability for a large-scale data analytics platform. Provide rotational 24/7 support, troubleshoot distributed systems, databases, performance issues, and server hardware, and develop scripts and tools to resolve customer issues and improve support infrastructure. Help establish and grow the European support team while collaborating cross-functionally and maintaining strong customer satisfaction.

Design, build, and deploy reliable LLM-powered agents and agentic workflows for enterprise customers. Translate ambiguous business problems into measurable AI solutions, integrate agents with tools, APIs, and sensitive data, and ship features for Cohere’s North platform. Develop evaluation frameworks for accuracy, safety, and latency; contribute to shared AI engineering standards; collaborate with customer engineering teams; and travel 20–40% for on-site customer and partner work.

Lead whole-body control development for a wheeled humanoid platform, coordinating base, torso, and arms through optimization-based control. Own QP architectures, constraints, feasibility recovery, dynamics modeling, compliance, payload estimation, force control, and predictive MPC evolution. Integrate controls with safety systems, define evaluation metrics, ensure production reliability, and mentor control engineers while collaborating with hardware teams.

Curate and interpret drug discovery data from scientific papers, patents, and other disclosures. Responsibilities include interpreting chemical structures and biological data, building and maintaining databases, researching biopharmaceutical R&D, and surfacing accurate insights for scientific and industry audiences. The role requires strong data curation, patent literature, chemoinformatics, scientific communication, and attention to detail skills.

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

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

Lead and shape the Adversary Emulation (internal Red Team) programme: plan and run complex offensive security operations, provide technical leadership and stakeholder reporting, develop tooling and team capabilities, and coach team members to improve organisational security outcomes.

Join a small founding engineering team to design, build, and maintain scalable backend services and APIs for an FCA-regulated trading platform. Take end-to-end ownership of features, contribute to system design and architecture, maintain high code quality and testing standards, monitor and improve reliability, and participate in on-call production support. Work across the stack to ship secure, performant software and help shape the engineering culture as the company scales.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

Lead Site Reliability Engineering for Azure cloud platforms: define SLOs/SLIs, improve observability, drive automation, manage incidents and root-cause analysis, collaborate with engineering and product teams to ensure scalable, reliable deployments and operational excellence.

The GenAI Engineer will design and develop AI agents, enhance existing ML systems, manage cloud infrastructure, collaborate on features, and present to stakeholders.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

Lead data modelling strategy and standards, design and implement data models (star schemas), build scalable transformations using SQL, dbt, Python/PySpark, mentor engineers, co-own backlog, and translate business needs into technical solutions including custom AI and automation.

Lead investigation and resolution of broker margin data discrepancies by validating Python pipeline outputs against internal sources. Debug raw broker files, document margin calculation logic across account types, work with Data Engineering to translate business rules into Python, escalate structural data gaps, liaise with brokers and SMEs, and maintain mapping and audit documentation.

The High-Touch Execution Strategist will manage execution processes, analyze market microstructures, and collaborate with traders to enhance trading practices.

Design, build and deploy end-to-end ML pipelines for UK property transaction data. Own model lifecycle (evaluation, deployment, monitoring, retraining), establish MLOps standards, collaborate with product and engineering, ensure data quality for features, and drive ML-driven product opportunities.

PhD graduate embedded in a quantitative research team to develop, implement and test systematic investment strategies. Analyse large financial datasets, design statistical models in Python, document results, and present findings to senior researchers and portfolio managers.

Jack & Jill seeks a Founding Engineer to develop AI tools for recruitment, focusing on candidate and company connections and enhancing job finding experiences.

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.

Manage the firm's capital usage, cost allocation, and position management systems; reconcile margin and billing models; execute funding and financing trades; build automation, monitoring, and visualization tools; identify and remediate financing inefficiencies; collaborate across teams and external counterparties.

Lead and grow engineering teams building a broker platform. Drive technical strategy, deliver microservice-based features, advocate Agile/Lean practices, recruit talent, measure team impact, and collaborate with senior stakeholders and CTO on architecture and infrastructure.