Top Python Jobs in London

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.

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.

Lead and grow a DevOps/Platform team while hands-on engineering Kubernetes-based, multi-cluster, multi-region platforms. Drive GitOps, IaC, progressive delivery, zero-trust security, observability, SLO/resilience practices, and compliance automation. Collaborate with Security, Data, and AI teams to deliver AI gateway infrastructure, disaster recovery, and platform reliability across cloud environments.

Build and maintain production-grade data pipelines, design data models and infrastructure, enable API access, govern data assets, and collaborate with actuaries, data scientists, and engineers to support algorithmic underwriting and MLOps.

Middle-office role supporting trading desks: monitor trading activity, perform daily PnL reconciliation, investigate breaks, resolve trade issues, escalate pricing/risk problems, and drive data-driven process improvements and automation.

Set up and run flesh, hair, cloth and rigid-body simulations, develop and maintain animation rigs, debug rigs and simulation setups, and script tools/plugins. Collaborate with supervisors and team members, document workflows, and deliver VFX work for feature films.

Early-career role joining EMEA sales engineering to support InfluxDB customers: build demos, POCs, integrations and sample code; answer technical questions; contribute to RFx and content; learn enterprise sales and advocate customer needs to product and engineering teams. Work remotely in the UK with occasional travel.

Ensure reliability, performance, and resilience of Runware's distributed, GPU-backed production platform. Define SLIs/SLOs and observability, investigate incidents across services, databases, networking and queues, automate remediation and deployment safety, participate in on-call rotations, conduct RCA and implement long-term fixes, and collaborate on capacity planning and scaling.

Serve as the technical AI/ML lead in customer engagements: translate customer needs into robust solution designs, build stakeholder relationships, contribute to proposals and product roadmaps, prototype approaches, and ensure delivered ML systems are operationally valuable.

Deploy and maintain AI enablement infrastructure (MCP servers, AI agents, hosting) and cloud environments on AWS/GCP. Build IaC and CI/CD pipelines, monitor performance/cost, support containerized services, manage API keys and permissions, document runbooks, and collaborate with Security, Engineering, and stakeholders to improve cloud governance and AI tooling adoption.

Build and evolve a real-time AI tutoring system: design prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models with platform infrastructure, prototype production model interactions, ensure safety and observability, and collaborate with educators and product teams to translate pedagogy into technical solutions.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Develop and maintain OpenTelemetry SDKs, libraries and collectors; build instrumentation patterns for C# and Python across Kubernetes and non-Kubernetes workloads; embed observability standards; scale telemetry backends and pipelines; improve incident response through better telemetry and AI-assisted engineering; support platform and application teams and participate in on-call rotation.

The Senior Software Engineer will design and enhance data and infrastructure platforms, support systematic trading strategies, and collaborate with investment teams in a fast-paced environment.

Design and own machine learning platforms for pricing technology, streamline workflows, and ensure reliable model performance at scale.

Lead and verify hydrological assessments for flood risk, reservoir engineering and infrastructure planning. Provide technical review, mentor staff, engage clients, support business development, drive innovation (including AI), present thought leadership, and maintain industry guidance awareness.

Lead and verify flood hydrological assessments for flood alleviation, reservoir engineering and flood risk; review technical reports; mentor staff; support business development; collaborate with hydraulic modellers; maintain industry engagement and thought leadership; drive innovation including AI-enabled solutions.

Lead and verify hydrological assessments for flood risk, reservoir engineering and flood mapping. Provide technical review, mentor staff, engage clients, support business development, drive innovation (including AI enablement), present thought leadership, and collaborate across disciplines on UK and international water projects.

Serve as the technical lead for post-sale API customers: drive implementation, run architecture reviews and workshops, ensure API adoption and consumption, remove blockers, align technical strategy with CSMs, and build repeatable onboarding assets to scale Services.

Lead cost and commercial assurance reviews on NEC Option C/E projects, validate open-book costs, audit payroll/timesheets, test rates and invoices, review compensation events, assess commercial controls, produce findings and dashboards, and apply Excel/low-code tools to automate analytics.

Lead global pricing strategy and modernization for wholesale and specialty insurance, driving analytics, AI/ML integration, pricing model governance, catastrophe and transaction-level pricing support, and talent development to improve underwriting performance and return on capital.

Design and optimise global credit decisioning and pricing strategies using data and predictive models. Collaborate with Risk, Product, Commercial and ML teams to monitor models, propose features, and deliver commercial insights to maximise customer funding within risk appetite.

Lead advanced statistical and machine learning analyses to generate actionable business insights; partner with cross-functional teams to design data-driven solutions; manage large datasets with strong governance; develop and maintain predictive models to forecast trends; communicate findings to stakeholders and stay current on industry technologies.

Lead and own ML platform end-to-end: data/feature pipelines, training and inference infrastructure, model registry, deployment, monitoring, and agentic AI stack. Design integrations across teams and third parties, ensure reproducibility, reliability, cost control, governance and audit trails, and grow a small engineering function supporting data scientists.