Top Python Jobs in London

Senior quant role to develop, deploy and monitor eFX market-making and HFT strategies. Own algorithm portfolio, lead and mentor quants, drive research to production, backtest, and partner with trading, technology and risk in a low-latency environment.

Build and maintain Freetrade's platform: cloud infrastructure (GCP/AWS/Azure), Kubernetes/serverless, Terraform, CI/CD pipelines, monitoring/observability and security guardrails. Partner with product and engineering teams, deploy and operate platform services, and help integrate AI into engineering workflows.

Lead design and enablement of enterprise corporate systems architectures (Finance, Risk, Actuarial, HR, Legal). Define reference models, roadmaps, and standards; drive modernization, integration, cloud adoption, resilience, reuse and governance; enable AI-SDLC and Architecture-as-Code; collaborate with delivery and support teams to implement scalable solutions.

Build, operate and improve a unified engineering platform (PaaS) used by product teams. Deliver automation, self-service tooling, Kubernetes cluster management, CI/CD and observability, provide technical support to product teams, and treat platform components as products to accelerate secure, standardised delivery.

Hands-on engineering leader responsible for designing, building, and operating cloud-native, event-driven platforms and user interfaces. Lead backend microservices (Java/Spring, Python), real-time data pipelines (Kafka), APIs (REST/OpenAPI/GraphQL/gRPC), and frontend components (Angular/React). Own end-to-end delivery, production support, CI/CD, observability, and mentor engineers while partnering with product and business stakeholders.

Lead deployment of production ML systems for physics-based engineering: design scalable training/inference pipelines, work with 3D point-clouds and mesh data, collaborate with customers onsite, mentor engineers, define architecture and success metrics, and deliver robust cloud and on-prem ML solutions.

Analyse catastrophe exposure and outwards reinsurance across Lloyd's syndicates, support in-house catastrophe model development, monitor and report market risk, benchmark exposures, assess reinsurance arrangements, and build analytical tools and data-driven solutions for stakeholders and regulators.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Own and extend simulation tooling for autonomy: integrate simulators with the production autonomy stack, ensure determinism and reproducibility, run large-scale cloud scenario execution, build evaluation and triage tooling, author scenarios, and maintain pipeline performance and coverage for V&V and release gating.

Lead a platform team owning shared backend services and frameworks used across engineering. Balance hands-on development, architectural ownership, roadmap delivery, and line management to improve developer experience, service health, and reliability.

Lead and grow the telematics data science team, define technical roadmap, and develop novel ML and signal-processing models (on-device and cloud) to predict driving behaviour, crashes, and risk. Integrate telematics with pricing and products, measure real-world model impact, ensure fairness in pricing, and represent telematics science to senior leadership and partners.

Serve as ELN subject-matter expert: configure and administer ELN (primarily Benchling), gather stakeholder requirements, build templates/workflows, support integrations and dashboards, maintain TD data repository, write SQL to extract/validate data, ensure data integrity and regulatory compliance, provide training and support to users.

Act as the primary technical expert and trusted advisor for the Cyera platform, driving customer onboarding, adoption, training, troubleshooting, and expansion. Design custom use cases, monitor health and usage, conduct QBRs, document best practices, and advocate customer feedback to influence product roadmap.

Provide first-line support for electronic trading and front-office operations: troubleshoot production issues, maintain trading static data, monitor connections, run start/end-of-day checks, liaise with traders, exchanges, Compliance, Risk and IT, and support projects to improve controls, reporting and trading platform stability.

Design, develop, and execute verification and validation test protocols across hardware, firmware, software, and system levels for a regulated medical device. Develop and qualify test methods and equipment, analyse results, author regulatory-grade test reports, maintain requirements traceability, support integration testing, and contribute to risk management and test infrastructure.

Build and own backend systems for sensor integration: distributed storage, stream processing, APIs, data pipelines, and platform primitives in a Rust stack (with Python at API boundaries). Design scalable, reliable systems (petabyte ambitions), operate production services, make architectural decisions, and collaborate across teams.

Lead design, build and deploy enterprise-scale AI products: agentic workflows, RAG, LLM integrations, vector DBs, APIs and microservices. Define architecture, reliability, observability and governance, mentor engineers, partner with product and data teams, and drive AI platform adoption and measurable business outcomes.

Design, develop, and maintain matching engines, FIX gateways, and low-latency trading applications using Java and C++. Implement efficient in-memory data structures, optimize networking and concurrency, troubleshoot production issues, and collaborate with trading, product, and infrastructure teams across the full software development lifecycle.

Lead the data platform's technical strategy and architecture, design analytics/semantic/AI data layers, set modelling and reliability standards, drive observability and data quality, mentor senior engineers, and coordinate cross-team modernization and incident response.

Support ESG analysis for public and private portfolios: run monthly ESG analytics, deliver client and investment-team reporting, build ESG portfolio overlays, develop dashboards and automation, liaise with data vendors and internal stakeholders, and contribute to client presentations on ESG capabilities.

Perform noise and vibration surveys, carry out calculations and assessments, prepare technical reports and proposals, support mitigation and monitoring for infrastructure, rail, energy, data centres and residential projects, and collaborate with multidisciplinary teams.

Lead development and productionization of large-scale ML and GenAI products. Own end-to-end data science lifecycle: prototyping, model development, benchmarking, deployment, monitoring, and stakeholder communication. Collaborate with domain experts to define metrics, optimize models (including LLM fine-tuning and embedding retrieval), and build scalable pipelines and integrations (OCR, table extraction, multimodal and GNN solutions).

Design, build, and operate scalable production data pipelines and storage. Model analytics and semantic layers, ensure data quality and observability, enable self-service, mentor engineers, and collaborate across engineering, product, and design.

Design and implement end-to-end data solutions using Microsoft Fabric, Azure, Databricks and Spark; build ETL/ELT pipelines, data models and Power BI dashboards; ensure data governance, quality, performance tuning, and translate business needs into technical specifications while supporting public-sector clients and undergoing required security clearance.

Hands-on senior SRE owning parts of a reliability platform across a hybrid AWS/Nomad estate. Implement observability with OpenTelemetry, define SLOs/error budgets, build CI/CD and safe release patterns, design self-healing and chaos experiments, run incident response and PIRs, mentor engineers, and author SRE standards to embed reliability across teams.