Top Python Jobs in London

Design, develop and optimize trading systems and market-making algorithms; analyze complex datasets to inform stakeholders; build scalable, reliable client-facing products; implement controls and monitoring; serve as L3 SME during market stress and production incidents.

Bridge patent practice and AI product development: engineer LLM outputs for patent tasks, build legal benchmarks and datasets, drive product roadmap, run pilots with global IP teams, and document AI adoption playbooks.

Lead development and production deployment of proprietary LLM-based algorithms and high-scale evaluation pipelines. Implement advanced prompt engineering, ship evaluation frameworks, and work across the stack (Python, Postgres, TypeScript/React) to translate research into production-ready AI products.

Design and maintain multi-region AWS infrastructure with Terraform, build isolated single-tenant environments, architect CI/CD (GitHub Actions, Docker), implement observability (OpenTelemetry, Datadog/Grafana), and tune autoscaling and networking for high-throughput LLM workloads to ensure reliability and low latency.

Design, build, and deploy production-ready AI algorithms and high-scale evaluation pipelines focused on LLMs and patent generation. Implement advanced prompt engineering, translate research into product across the stack (Python, Postgres, React/TypeScript), and benchmark models to drive R&D decisions.

Design and build next-generation AI-assisted interfaces for complex IP workflows. Lead front-end architecture, rapidly prototype and ship features from user feedback, integrate advanced WYSIWYG editors, and contribute across the full stack to ensure robust, high-performance delivery as a founding engineering hire.

Build and own backend platform systems around AI models: design APIs, data models and schemas, implement integrations and data pipelines, create internal libraries/tooling, and drive features end-to-end from design to production while collaborating with engineers and AI specialists.

Build and own full-stack platform systems around AI models: design APIs, database schemas, frontend components, shared libraries, connectors, and data pipelines. Collaborate with design and AI teams, drive features end-to-end from design to production, and shape technical direction and engineering practices.

Design, build, and own end-to-end AI infrastructure and agentic workflows for private equity diligence: data ingestion, retrieval, orchestration, evals, and production reliability. Drive architecture decisions, measurement, and domain-specific systems to ensure enterprise-grade, low-hallucination outputs.

Lead canonical data modelling and governance for buy-side data domains, translating logical models into Snowflake-ready schemas, DDL, API contracts and data quality rules. Work with investment, operations and ESG teams to define lineage, golden sources, industry-standard mappings (ISO20022, SWIFT, FINOS CDM), and embed governance while mentoring engineers to ensure implementation fidelity.

Early full‑stack engineer defining product DNA, building multi‑step LLM/agent workflows, owning end‑to‑end workspace and UI, translating consulting practices into software, and shipping prototypes rapidly while collaborating with technical and non‑technical stakeholders.

Develop and manage a book of vanilla gas, Brent and EUA options. Generate revenues via option and volatility strategies, trade liquid markets, market-make illiquid products, implement quantitative trading strategies, design pricing models and desk tools, and ensure regulatory and front-office compliance.

The Senior CFD Engineer will develop complex multiphysics models, validate DEM models, automate simulation workflows, mentor juniors, and engage with customers globally to solve engineering challenges.

Lead cross-functional engineering teams to design, deliver, and evolve cloud-native, event-driven insurance applications. Own architecture, roadmap, and delivery for policy, claims, underwriting, and compliance systems while ensuring regulatory adherence, vendor management, Agile/DevSecOps practices, and engineering KPIs.

Lead portfolios of marketing-mix-modeling (MMM) and marketing effectiveness programs, manage teams, ensure delivery quality, translate analytics into C-suite recommendations, drive account growth, and develop talent and practice thought leadership.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

Design, build, and maintain full-stack web applications using React and .NET Core. Collaborate with data science, product, and design to deliver scalable cloud solutions, APIs, and UI prototypes. Contribute across discovery, delivery, QA, DevOps, and CI, applying SOLID principles and automated testing.

Build and maintain scalable Python backend microservices: productionize data science prototypes, fix production issues, improve monitoring, and ensure tested, well-documented code following engineering best practices.

The Senior Software Engineer will define technical foundations, support product scaling, mentor junior engineers, and drive system improvements.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Senior Data Scientist will develop predictive models, conduct statistical analysis, and work with cricket datasets to uncover trends and validate model performance.

Design and build scalable backend services and data pipelines in Python, deploy with Docker/Kubernetes, integrate enterprise systems (ERP, APIs, SFTP, event buses), process multi‑terabyte datasets, implement CI/CD and infra-as-code, ensure observability and reliability, and collaborate with customers and ML teams to deliver production enterprise features.

The Senior Backend Engineer will design and build scalable backend systems, manage projects from design to deployment, write clean code, and collaborate with product teams to address customer problems.

As a Staff Software Engineer, you'll lead development and architecture design, mentor engineers, and implement impactful projects in a fast-paced environment.

The Product Engineer will build end-to-end features focused on user experience, working closely with teams to drive customer-centric product development and solutions across the full stack.