Top Python Jobs in London

Develop statistical and machine learning models using soccer tracking and event data to support player recruitment decisions. Build spatio-temporal models, metrics, analyses, and interpretation tools; validate models; communicate findings to professional club clients; and partner with engineering on cloud deployment and production reliability. The role also includes code review, model maintenance, and advancing analytical methods.

Own the production improvement loop for an AI Context Engine, improving agent behavior, retrieval, memory, telemetry, evaluation, and safe rollout. Build production services in TypeScript or Python, design observability and evaluation systems, analyze agent traces and customer feedback, and partner with data scientists, backend engineers, product, and UX. Mentor engineers, review designs, and shape the technical roadmap for agentic products with public APIs and evolving data models.

Pre-sales Solutions Engineer covering Central & Eastern Europe (Hebrew-speaking). Acts as technical customer advocate, designs fit-for-purpose Cloudflare solutions, collaborates with Sales/Product/Engineering, explains complex internet and security concepts, wins technical evaluations against competitors, manages projects and customer relationships, and travels ~10-15 days per quarter.

Own and monitor intraday and end-of-day risk exposures for multi-asset prime brokerage clients; develop margin, risk, and stress-testing methodologies; generate and automate risk reporting; engage with clients and senior management on onboarding and risk issues; and collaborate with engineering and product to enhance risk and margin platforms.

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

Design, build, and deploy production-grade generative AI and multi-agent systems for financial services. Architect scalable MLOps pipelines, optimize LLMs and multi-modal models, implement RAG and prompt-engineered agent workflows, and collaborate with clients and cross-functional teams to accelerate GenAI adoption and deliver measurable business impact.

Build AI-driven SRE tooling and agentic automation to triage, diagnose, and remediate infrastructure issues. Integrate LLM-powered agents with observability, ITSM, and infrastructure APIs, develop self-service tooling and ChatOps, tune event/alert intelligence, and convert runbooks into auditable executable automations while contributing to operational standards and incident learning.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Investigate complex crypto tax and transaction issues, solve user problems, analyze data discrepancies, support integrations, QA product features, and translate user feedback into product improvements. The role begins in Customer Support and transitions into product work, serving as a bridge between users, Product, Engineering, and Support. Strong crypto, blockchain, DeFi, on-chain, and block explorer knowledge is required; programming and API experience are preferred.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Leads practical AI adoption across front-office and technology teams by delivering training, workshops, workflow mapping, and lightweight prototypes. Supports Microsoft Copilot, ChatGPT, Claude, RAG, prompt engineering, and AI-assisted workflows. Tracks adoption metrics, gathers user feedback, improves guidance, and promotes responsible AI use within regulated environments. Works with engineers, governance, infrastructure, and business stakeholders to embed reliable AI solutions into everyday processes.

Design, build, test, and maintain scalable regulatory reporting applications and data pipelines. Translate regulatory requirements into technical solutions, investigate reporting exceptions, reconcile data, optimize processing frameworks, and support the full software development lifecycle with monitoring and automation.

Lead analytics for the Financial Crime Platform, partner with product and engineering to build metrics, pipelines, visualisations, and features for fraud/AML risk models, drive discovery and data-driven decisions balancing risk and customer experience.

Design, build, and operate scalable GCP and Kubernetes cloud platforms. Automate infrastructure provisioning, CI/CD, deployments, customer onboarding, monitoring, security, failover, and platform operations. Collaborate with engineering, QA, product, and architecture teams to improve reliability and productivity. Lead capacity planning, infrastructure cost optimization, troubleshooting, and strategic platform design for high-throughput microservices and big-data systems.

Supports Commercial FP&A by analyzing business performance, preparing executive reporting, forecasting net revenue, conducting variance analysis, and providing data-driven recommendations. Partners with leadership and cross-functional stakeholders on planning, budgeting, revenue growth, operational improvement, and strategic initiatives. Uses Looker, SQL, Python, Confluence, Salesforce, Excel, and PowerPoint to validate data, develop insights, and communicate business performance.

Supports 24/7 service reliability through incident response, monitoring, alerting, observability, automation, and production operations. The role manages major incidents, improves runbooks and SLO-based alerting, develops scripts and self-healing tools, and supports Linux, cloud, and Kubernetes environments. It partners with engineering, infrastructure, security, and product teams to reduce operational toil and improve system availability, MTTD, and MTTR.

Maintain, design, and improve enterprise monitoring and observability solutions across government applications. Configure monitoring agents, collectors, probes, dashboards, alerts, logs, and application, database, and server monitors. Implement observability standards for new customers, assess monitoring effectiveness, identify gaps, and recommend improvements. Collaborate with application, infrastructure, product, and service teams while providing documentation and knowledge transfer. The role requires experience with observability tools, application instrumentation, infrastructure, databases, APIs, and automation.

Design, build, and operate secure, reliable, scalable GCP infrastructure across regions and cloud providers. Lead automation, disaster recovery, observability, identity, key and secret management, hybrid connectivity, compliance, and CI/CD initiatives. Diagnose infrastructure issues, document architecture and operating practices, train colleagues, and lead complex projects from design through production. The role also shapes platform tooling, architecture, and engineering standards while contributing to a cloud-native banking platform.

Own Sirona Medical’s GTM technical infrastructure, including its AI automation platform, website, analytics dashboard, sales tooling, and RFP response engine. Build and deploy production software with Python, TypeScript, React, and Next.js; implement marketing designs; automate GTM workflows; manage technical documentation and RFPs; support sales programs; and maintain connected, reliable GTM systems and data.

Build and ship reliable backend features for a mortgage engineering team using Python and modern backend technologies. Own work end to end, including technical design, implementation, testing, deployment, and iteration. Collaborate across engineering, product, frontend, and external partners while contributing to architecture, APIs, data modeling, performance, security, reliability, and developer experience. The role emphasizes product thinking, ownership, clean code, thoughtful reviews, and growth toward senior-level contribution.

Develop centralized automated datasets, analytical models, dashboards, and reporting solutions for business teams and senior management. Analyze complex financial data, resolve data-quality issues, improve processes, and support AI deployment. Partner with data engineers and stakeholders to define target-state data requirements, automate business processes, enhance scalability, and solve commercial challenges within a regulated financial-services environment.

As a Senior Software Engineer at Relay, you will tackle challenging problems, collaborate with talented teams, and have a direct impact on the company's growth through software development and optimization tools.

Build, test, deploy, and optimize machine learning models, controllers, and infrastructure for autonomous industrial control systems. Collaborate across research, engineering, and customer teams to deliver scalable solutions that improve plant efficiency and reduce carbon emissions. Contribute to ML innovation, software architecture, development tooling, engineering best practices, and end-to-end product delivery.

Design, build, and operate secure, reliable, scalable GCP infrastructure across multiple regions and cloud providers. Responsibilities include cloud organization architecture, disaster recovery, automation with Terraform, Kubernetes platforms, networking, key and secret management, observability, CI/CD, compliance, and hybrid connectivity to payment HSMs. The role leads complex infrastructure projects, resolves client issues, documents architecture and operations, trains engineers, and establishes technical standards.

Develops and maintains centralized financial datasets supporting management P&L, balance sheet substantiation, statutory reporting, and AI-enabled finance tools. Builds reconciliations to the general ledger, partners with data engineering and IT teams, leads UAT, documents datasets and tools, trains Finance users, and supports migration to IT-owned platforms. The role requires strong regulated-finance experience, advanced Excel skills, control expertise, and familiarity with financial products and data-manipulation tools.