Top Python Jobs in London

Lead product direction and build agentic AI systems for autonomous merchandising optimisation: prototype multi-agent flows, take prototypes to production, define trust/governance, drive measurable experiment throughput and conversion uplift, and partner across engineering, data science, and brand teams.

Build and deploy production-grade LLM applications spanning backend services, data orchestration, vector search, and front-end integrations. Work directly with strategic customers in agile sprints, integrate legacy systems, create reusable AI libraries and scaffolds, and influence platform strategy through field-tested solutions. Lead implementations from concept to production while ensuring scalability, security, observability, and performance.

Own marketing analytics reporting and infrastructure that explain growth drivers and identify high-value opportunities. Develop automated insights, Marketing Financials tooling, Lightdash reports, Streamlit applications, semantic layers, impact calculations, and AI-enabled workflows. Partner with marketing, analytics, product, and regional teams to convert insights into execution, while improving prioritization, collaboration, data quality, and analytics team processes.

Lead customer value journeys for Celonis, translating strategic priorities into process-improvement use cases, business cases, demos, prototypes, workshops, and transformation roadmaps. Advise on IT and AI strategy, use SQL or Python for prototypes, identify realized value, drive adoption and expansion, manage projects, and present outcomes to senior and C-level stakeholders. The role partners with Sales, IT teams, and ecosystem partners across finance and supply chain transformations.

Develop and operate quantitative models and production systems for FX pricing, risk management, forecasting, hedging, and trading. Build Python-based quant libraries, services, data pipelines, and monitoring systems; conduct validation and backtesting; manage deployments and incident response; and collaborate with quants, traders, analysts, product managers, engineers, and risk teams.

Design and build query planning, optimization, execution, storage, and incremental processing capabilities for Palantir Foundry. Extend distributed data engines and Iceberg integrations, improve correctness and performance, investigate complex system issues, and develop tests and benchmarks. Collaborate with product teams, customers, and open-source communities to deliver reliable data infrastructure.

Respond to complex enterprise cyberattacks through Cloudflare Managed Defense, including Layer 3, 4, and 7 DDoS and application security incidents. Investigate telemetry, analyze packets and traffic, create mitigation rules, monitor alerts, communicate with customers during active incidents, maintain runbooks, lead onboarding and security reviews, and collaborate with engineering and threat intelligence teams. The role requires rotating 24x7 shifts and expertise in network and application security.

Owns enterprise IT infrastructure and end-user computing across on-premises, cloud, identity, networking, endpoints, and segmented environments. Responsibilities include Azure/AWS administration, systems hardening, patching, vulnerability remediation, endpoint and identity management, backups, disaster recovery, audit evidence, incident response, asset lifecycle, documentation, automation, and advanced technical support. The role independently drives infrastructure modernization, security compliance, operational resilience, and controlled access for a security-sensitive entity.

Leads technical strategy, solution architecture, delivery, and product development for Altana’s UK policy and national security vertical. Owns capture and pre-sales technical content, customer deployments, security and accreditation obligations, support processes, staffing, and technical team development. Partners with commercial leadership, Platform Operations, Engineering, Product, and Design to deliver SaaS and PaaS solutions in secured and regulated environments.

Build and own polished full-stack product features from problem definition through production. Responsibilities include making interface decisions, developing with Python, FastAPI, PostgreSQL, Next.js, and TypeScript, using AI and LLM tooling, modeling production data, writing SQL, safely changing live data, and working autonomously with users and stakeholders. The engineer will maintain quality, handle ambiguity, and deliver software for theatrical rights and royalty operations.

Build and operate developer productivity tools and shared engineering services used across Wise. Own agentic tooling, security, model access, telemetry, evaluations, and an MCP-based engineering knowledge base. Lead AI enablement through workshops and adoption campaigns, improve developer platforms across the software lifecycle, and use research and data to remove common engineering friction. The role also involves technical leadership, production software ownership, code reviews, system design, and cross-team advocacy.

Leads technology and cyber risk management for financial markets platforms. Responsibilities include conducting technical risk deep dives, assessing and monitoring risks, designing and testing controls, reviewing architectures, validating evidence from logs and configurations, identifying attack paths through threat modeling, documenting deficiencies, and advising stakeholders on mitigation strategies and regulatory compliance.

Build scalable backend systems and customer-facing financial products for Wise’s shared-finance offerings, including international joint accounts and kid accounts. Collaborate with product, design, data, and research teams to shape ambiguous ideas, influence architecture and product direction, and deliver reliable systems globally. Work includes money movement, spending, authorization, compliance-related systems, shared-account infrastructure, greenfield development, and infrastructure scaling.

Build Wise’s production ML platform for financial crime detection. Responsibilities include designing declarative training pipelines, model packaging and serving abstractions, evaluation frameworks, monitoring and drift detection, automated retraining, audit trails, and integration with central ML infrastructure. The role focuses on improving data scientist productivity through reliable, scalable, standardized tooling and requires strong software engineering and end-to-end ML lifecycle expertise.

Develops AI and autonomy applications using Shield AI’s Hivemind SDK for unmanned platforms. Deploys autonomy infrastructure at customer sites, supports vehicle and software integrations, troubleshoots API issues, trains customers, creates technical documentation, and collaborates with product and engineering teams. The role also supports complex technical customer inquiries and requires approximately 30% travel.

Develop and deploy Hivemind AI and autonomy applications for unmanned platforms, integrate software with customer vehicles, troubleshoot API issues, train customers, create documentation, and support technical customer inquiries. The role collaborates with product and engineering teams and requires approximately 30% travel to customer sites.

Design, build, deploy, and operate systematic interest rate swaps trading systems covering pricing, risk projection, hedging, and execution. Develop research infrastructure, backtesting and simulation tools, quantitative models, signal pipelines, and analytics over large datasets. Analyze trading data, improve strategies, support live trading, resolve incidents, and enhance monitoring and controls.

Supports trade attribution, client book of record data integrity, reconciliations, exception resolution, and client reporting across investment portfolios. Performs data quality controls, investigates trade discrepancies, explains allocation and lifecycle outcomes, maintains procedures, and produces recurring and ad hoc reporting. Partners with trading, operations, technology, business management, and sales teams to remediate issues, improve processes, and support automation.

Develop and deploy AI and machine learning solutions for workforce analytics. Conduct statistical analyses, experiments, and model evaluations; build scalable model factories and evaluation frameworks; apply generative AI and agentic development approaches; collaborate with business, product, and technology teams; communicate insights; and ensure compliance with risk, control, and governance requirements.

Leads the design, development, and operation of scalable cloud and big data platforms supporting markets risk analytics. Builds batch and streaming pipelines across Databricks and Amazon Redshift, optimizes data models and workloads, establishes governance and consistency controls, and ensures production reliability through monitoring, incident management, and SLOs. Mentors engineers, drives engineering standards, and partners with risk, trading, finance, product, and other stakeholders to deliver technical solutions.

Leads development of a wealth management portfolio insights platform serving advisor and account data. Designs secure Java, Spring Boot, and Python services across ingestion, reconciliation, and serving layers; works with AWS, Kafka, relational databases, and cloud-native infrastructure. Drives architecture, code quality, resiliency, automation, AI-assisted engineering practices, and resolution of complex production data-consistency issues.

Lead infrastructure automation and DevOps engineering across public, private, and on-premises cloud environments. Build and optimize CI/CD pipelines, provision containerized and virtualized systems, implement Infrastructure as Code, and improve observability, reliability, scalability, and cost efficiency. Develop automation in Go, troubleshoot complex distributed systems, collaborate with global engineering teams, and align platform initiatives with business objectives.

Build and maintain detection-as-code, security tooling, and automated response workflows across enterprise, cloud, and product environments. Triage alerts, investigate and respond to cyber threats, conduct digital forensics and threat hunts, support security data lakes and SIEM platforms, and develop AI-first security systems. The role includes on-call participation, collaboration with threat intelligence, pipeline improvements, and mentoring other security engineers.

Provides technical support for post-integration issues involving payment APIs, e-commerce products, software, hardware, and endpoints. Responsibilities include testing and configuring environments, troubleshooting product behavior, communicating issues to customers and internal teams, creating technical documentation and sample code, and coordinating incident responses. The role includes occasional weekend and holiday on-call coverage.

Supports Celonis Value Engineering by analyzing customer data, identifying process inefficiencies, translating business challenges into platform use cases, quantifying financial impact, and preparing executive presentations. Collaborates with customers, partners, sales teams, and decision-makers to develop proof-of-value projects and data-driven business cases. The intern presents Celonis’ AI and process intelligence capabilities while building technical, analytical, consulting, and customer-facing experience for potential transition into the Orbit Graduate Program.