Top Python Jobs in London

Support senior architects in designing scalable, secure technology solutions; gather requirements from clients and stakeholders; participate in discovery workshops; translate business needs into architecture designs; create diagrams and technical documentation; research technologies; assess risks, dependencies, integrations, and estimates; and collaborate with engineering, cloud, security, and DevOps teams throughout delivery.

Develop and maintain scalable Ruby and Ruby on Rails backend applications, RESTful APIs, microservices, and distributed systems. Work with databases, background jobs, caching, messaging, cloud platforms, Docker, CI/CD, and automated testing. Troubleshoot production and performance issues, participate in system design and code reviews, and collaborate with frontend, QA, DevOps, product, and client teams.

Own and optimise the support queue and operational health of the data management platform. Investigate and resolve complex data pipeline and quality issues, lead client onboarding/configuration, coordinate cross-functional stakeholders, drive incident prevention and platform reliability, and mentor junior team members while ensuring data governance and secure user access.

Designs and delivers enterprise AI solutions using Claude. Acts as a pre-sales technical advisor, translating customer needs into scalable architectures, guiding evaluations and deployments, presenting to technical and executive audiences, and coordinating with Sales, Product, and Engineering. The role requires customer-facing architecture experience, enterprise integration expertise, Python familiarity, LLM knowledge, German and English fluency, and occasional customer travel.

Embed with customers to define problems, build and ship production systems on Luma's APIs and models, maintain deployed solutions, and surface productizable patterns to R&D and platform teams. Work across the full stack and own projects end-to-end.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Build backend systems and data pipelines to process large-scale protein characterization data, design APIs to integrate lab instruments and robotics, and collaborate with scientists and automation engineers to turn molecular biology workflows into reliable, scalable software for automated wet-lab execution.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

Lead and deliver carbon accounting, net-zero and climate risk projects (Scope 1-3). Support strategy growth, client origination, project management, data analysis, reporting (SBTi, CDP, SECR), and process improvement while building client and industry relationships.

This role involves building and operating a data platform, delivering reliable data products, and improving engineering workflows with AI and automation while mentoring junior team members.

The Quantum Algorithms Engineer will implement and evaluate advanced quantum and classical algorithms, collaborating with a team and supporting Phasecraft's growth.

The ETL Test Engineer analyzes business requirements, creates test cases, develops validation scripts for automated testing, and ensures data quality across multiple systems and teams.

As a DevOps Engineer, you'll enhance systems delivered in AWS, automate and monitor infrastructure, and collaborate closely with software teams to ensure operational efficiency.

Develop and scale LLM-powered applications and RAG systems, integrate multi-API workflows, design vector storage and data pipelines, fine-tune LLMs, collaborate on multi-modal computer vision projects, and automate CI/CD for deployment and testing.

Lead technical onboarding of customers onto the DigitalGenius platform: build automation flows, fine-tune AI behavior, integrate via APIs/webhooks, run trainings, troubleshoot issues, and manage projects to ensure timely implementations.

The Operations Associate/Senior Associate will manage trade confirmations, settlements, and operational processes for a multi-asset investment platform, requiring strong technical skills and attention to detail.

Lead the credit strategy for second charge mortgages, defining credit policy, developing risk models, and collaborating across functions to optimize lending processes while maintaining portfolio quality.

Lead organisational ML engineering strategy and architecture for high-stakes programmes. Own end-to-end delivery, drive adoption of platforms and technologies, coach senior engineering talent, shape executive client engagements, and lead technical pre-sales to win flagship AI projects.

Design, build, and operate automation-first internal platforms and tools for pre-sales. Troubleshoot security, network, and system issues; manage firewall policies; develop integrations and APIs using Python (Django) and Ruby on Rails; produce documentation and runbooks; collaborate with stakeholders to secure and scale solutions across Linux, Windows, and macOS environments.

As a Junior Software Engineer, support development and reliability of Fogsphere’s AI platform, focusing on Python, JavaScript, CI/CD, and infrastructure reliability.

Build and improve Trainline's infrastructure platform using Terraform and AWS, automate tasks with Node.js/Python, apply secure-by-default principles, test and deploy via CI/CD, collaborate with platform and engineering stakeholders, and deliver reliable, maintainable infrastructure changes.

Design, implement and improve Trainline's infrastructure platform using Terraform and AWS. Build automation and tooling in Node.js or Python, enforce secure-by-default cloud patterns, test and deploy via CI/CD, mentor mid-level engineers, collaborate across teams, and manage multi-account, multi-region, and enterprise-scale platform concerns to deliver reliable, scalable infrastructure.

Lead quantitative research and index methodology design for equity and multi-asset strategies. Drive independent research, translate models into production with Engineering, build analytics and AI-enabled research infrastructure, support client engagements and business development, mentor team members, and contribute to strategic direction and product innovation.

Own and operate cloud production infrastructure (GCP/AWS), manage Kubernetes clusters, automate via IaC (Terraform/Pulumi/Ansible) and CI/CD, build and monitor data pipelines (Argo), perform SRE incident response and level-2 support, and collaborate with data scientists and engineers to improve platform reliability and scalability.

Consult as a data scientist to design, build and deliver advanced analytics and ML solutions across the full modelling lifecycle. Translate client needs into analytical approaches, perform exploratory analysis, develop and test models, and handover solutions using tools like Python, SQL, Databricks and visualization platforms.