Top Python Jobs in London

Build and optimize backend microservices, APIs, and data models for a global payments platform. Collaborate with client teams, lead architecture for high-concurrency low-latency systems, and ensure testing, monitoring, deployment, and secure data handling for scalable financial products.

Design and implement enterprise-grade MLOps and LLMOps architectures on AWS, build scalable ML/LLM pipelines, enable CI/CD and observability, enforce governance and security, mentor teams, and guide cross-functional delivery of production ML solutions.

Conduct original AI safety research by designing and running experiments on transformer-based LLMs, applying white-box and black-box interpretability methods, developing reproducible Python research code and tooling, documenting results in papers and reports, and translating findings for external partners and stakeholders.

Own onboarding and technical education for enterprise customers building AI agents. Run hands-on workshops and advisory sprints, build internal agent tooling to automate enablement processes, create scalable enablement assets, and feed customer insights to Product and Engineering.

Build and maintain scalable data pipelines and infrastructure using GCP and Snowflake. Develop transformations with SQL and DBT, ensure data quality and governance, optimize performance, monitor pipelines, expose data via APIs, and support analytics and visualization (e.g., Power BI). Collaborate with product, analytics, and engineering teams, document systems, and contribute to the data engineering roadmap.

Design, build and maintain mainframe hardware infrastructure and self-service infrastructure products. Lead hardware migrations, configure DASD/SAN/FICON, automate with scripting and IaC, support CI/CD pipelines, ensure observability, provide operational support and vendor collaboration.

Work across analytics, engineering and product to design, build and maintain datasets, dashboards and data products. Provide applied analytics and statistical insight to stakeholders, ensure data governance and integrity, resolve data issues, document systems, increase automation, and evaluate tools to improve data storage and analysis.

Produce high-quality credit analysis for corporate securitisations/CLOs, supporting underwriting, pricing, diligence, and portfolio management. Prepare risk write-ups, benchmark portfolios, and liaise with structuring, sales, and monitoring teams.

Own and improve finance reporting and cost dashboards, build and maintain data pipelines and semantic layers using dbt and Python, analyse commercial and operational performance, collaborate with supply chain and operations, and provide ad-hoc C-suite analysis.

Design, build and operate central platform services on Azure including Kubernetes, GitHub and CI/CD. Drive infrastructure automation with Terraform, implement GitOps with ArgoCD, support and onboard application teams, develop reusable automation and GitHub Actions, troubleshoot complex platform issues, and mentor engineers to promote best practices and continuous improvement.

Lead end-to-end platform initiatives, set company-wide technical direction, mentor engineers, improve developer tooling and automation (CI/CD, GitOps, IaC), run reusable components (Grafana, Istio, CloudNativePG), operate Kubernetes and cloud/on‑prem infrastructure, and bake security and observability into the platform.

Lead and improve end-to-end CI/CD pipelines, automate deployments with Infrastructure as Code and configuration management, administer virtualized/containerized environments, migrate projects to cloud/microservices, mentor junior engineers, and collaborate with architects and developers to deliver mission-critical systems.

Lead digital analytics strategy and complex client engagements, design and deliver measurement solutions (GA4, GTM, BigQuery, Firebase), ensure data quality and governance, manage multiple projects and commercial processes, and line-manage, mentor and grow analytics teams.

Provide second-line oversight of traded market risk: capture, analyse and monitor risk exposures; review and challenge desk positions, strategies and limit breaches; investigate P&L and risk drivers; support escalation and remediation; partner with Front Office and reporting teams; produce TMR dashboards and regulatory and executive reports; represent TMR in governance and regulatory fora.

Lead and manage a team of engineers to deliver the product roadmap; collaborate with Product and Client Services; participate in design reviews; measure team impact; contribute to product strategy and engineering initiatives; perform hands-on coding, code reviews, and support career development and recruitment.

Lead design, development, and ownership of a high-volume, multi-currency transactional platform. Architect scalable services, translate financial requirements into technical solutions, mentor engineers, ensure production reliability, and collaborate with global teams on payments, collections, and integrations.

Design, build, and maintain a high-performance distributed calculation engine that executes massive risk computations; optimize distribution, scale platform, mentor engineers, lead strategic improvements, and provide specialized customer support and operational troubleshooting.

Create and run large-scale crowd simulations, develop locomotion and motion behaviours, integrate crowd work into VFX pipelines, build tools and workflows, and collaborate across modelling, rigging, animation, mocap, and lighting to meet production quality and deadlines.

Senior field-facing technical leader for Data & AI who shapes enterprise architecture, influences C-level decisions, builds prototypes for sales, publishes thought leadership, and creates reusable technical assets to scale Agentforce and Data360 adoption across EMEA.

Design, build, and maintain distributed backend systems powering real-time and analytical data processing. Optimize data pipelines for low latency and high throughput, drive architecture and reliability decisions, collaborate with cross-functional teams, and mentor engineers through reviews and knowledge sharing.

Lead design and evolution of scalable real-time and batch ETL pipelines and data platform. Own performance, reliability, and data quality; drive architecture and tooling choices; collaborate with product and backend teams; mentor engineers and shape target architecture to support trader-facing analytics and low-latency data needs.

Develop, test, support and deploy the eXimius Back Office Wealth Management application. Analyze client specifications, estimate and build software changes, manage defects, respond to support tickets, assist customers, perform system administration, and participate in Scrum and UAT activities.

Lead full-stack development and co-manage a lean engineering team to build SunCore's web and mobile infrastructure. Implement CI/CD, migrate hosting to DigitalOcean with Cloudflare, migrate CRM to HubSpot via Zapier, integrate multiple APIs and third-party services, and deliver a secure Flutter mobile app and dashboard with SOC2-level security, 2FA/biometric login, and wallet integrations.

Develop and maintain the backend ecosystem for the Alta Video Management System, focusing on cloud-based distributed systems and coding quality.

The Software Engineer will develop the backend for a cloud-based video management system, focusing on system design, feature development, and enhancing existing capabilities.