Top Python Jobs in London

Design, build, and maintain scalable cloud-native data pipelines and lake/lakehouse infrastructure for multi-modal scientific data. Optimize storage layouts and access patterns for analytics and GPU-based ML training, implement versioning, lineage, and quality monitoring, operate workflow orchestration and containerised environments, and collaborate closely with data scientists and ML researchers to enable efficient model training and research workflows while meeting security and governance needs.

Lead a team building and supporting financial models (asset modelling, economic capital, market/credit risk, stress testing) using C++ and Python; translate business and risk requirements into technical designs, improve model production processes, drive delivery of modelling projects, and coach developers.

Onsite IT Specialist responsible for identity and access management, endpoint and device lifecycle management, end-user technical support, system administration of Okta/MDM/SaaS tools, process automation, security best practices, and IT documentation and inventory across San Francisco and New York offices.

Design and build scalable pipelines to ingest, transform and harmonise large healthcare datasets into research-ready formats (OMOP/FHIR). Lead technical direction, implement data quality and governance, collaborate with data scientists and epidemiologists, and deliver reusable data products using cloud and big-data technologies.

Lead design and delivery of large-scale, cloud-native backend systems. Own end-to-end solutions, define architecture and engineering standards, investigate production issues across environments, mentor and hire engineers, and drive technical direction and adoption of new tools (including AI) to improve developer velocity and reliability.

Own and deliver complex backend features end-to-end for cloud-native banking systems. Provide technical leadership on architecture, code quality, incident response, and hiring. Mentor engineers, collaborate with Product to translate requirements, and ensure scalable, secure, high-performance production services.

Design, implement and deploy production-ready computer vision and agent models for game development. Build scalable deep-learning and RL/IL systems, evaluate model effectiveness, support data collection, and collaborate with engineers to integrate models for scene generation, trained agents, and automated content verification.

Build, test, optimize, and maintain ELT pipelines supporting analytics, reporting, and data products. Deploy config-driven workflows to Databricks across a multi-tenant environment, extend data models, support CI/CD and ingestion projects, monitor pipeline health, troubleshoot failures, and collaborate with data and product teams to deliver reliable, well-tested data.

Develop and deploy machine learning and statistical models that solve business problems and create measurable impact. Responsibilities include exploratory data analysis, feature engineering, experimentation, model optimization, explainability, MLOps, prompt engineering, and cloud-based data collaboration. The role involves working with clients and stakeholders, communicating insights through visualization and storytelling, and contributing to scalable analytics, Generative AI, and data science solutions.

Lead enterprise-scale data science and AI initiatives, defining lifecycle best practices, architecture, governance, metadata frameworks, and MLOps practices. Design and deploy machine learning, statistical, optimization, and LLM solutions using cloud platforms. Lead multidisciplinary teams, translate business needs into analytical solutions, collaborate with engineers and stakeholders, and communicate insights to technical and executive audiences.

Build Modo's gas analytics function from scratch: create long-term gas forecasts and core datasets (storage, LNG, production), publish client-facing research, present insights to clients, and integrate gas views into regional power and storage models.

Lead Pantheon's security operations strategy and roadmap, including SIEM/SOAR architecture, threat detection, incident response, threat intelligence, automation, vulnerability and abuse management, and operational resilience. Own security operations compliance for GDPR, NIS2, SOC 2, PCI DSS, and NIST CSF. Lead major incident response, executive reporting, cross-functional initiatives, and mentorship while remaining hands-on with cloud-native security, detection engineering, and security automation.

12-week summer internship for PhD students to conduct quantitative research in trading and systematic investing. Work includes analysing large financial datasets, developing and backtesting quantitative models using Python and statistical libraries, validating strategies, maintaining research infrastructure, and presenting findings to senior researchers and trading teams.

Lead architecture and implementation of large-scale, distributed backend systems. Design databases, processing systems, APIs, and protocols; drive major migrations and re-architectures. Own reliability, monitoring, and production operations while mentoring engineers and driving cross-team technical alignment.

Develop and maintain components for live trading and research environments, drive automation and robustness, implement data checking and handling, monitor and troubleshoot systems, and share responsibility for correct, timely trading operations.

Lead technical direction across multiple squads; design, build, and scale backend systems (Python/Django), data pipelines, and third-party integrations; drive complex initiatives end-to-end; mentor engineers, run architectural reviews, and improve reliability, observability, and performance; partner with PMs and leadership on roadmaps and trade-offs; participate in on-call rotation.

Design and implement Arene SDK components and hardware-agnostic abstraction layers using modern C++ for embedded, resource-constrained automotive systems; collaborate with global teams to improve emulation, testing, and software delivery.

London-based software developer internship at Squarepoint building production software for algorithmic trading. Work on projects across Data Engineering, Risk, Market Data, Quant Development, and Frontend. Implement independent programming projects (Python or C++), use Unix systems, and collaborate with mentors to deliver solutions used in live trading. Minimum 12-week placement with networking and social events.

Design, build and deploy production-grade machine learning systems and infrastructure. Create reusable, scalable ML solutions, guide architecture and technical scoping, collaborate with cross-functional teams, and advise clients on ML feasibility, security, and best practices.

Lead design, development and deployment of production-grade ML systems. Architect scalable ML infrastructure, implement best practices, advise clients, mentor engineers, and collaborate cross-functionally to deliver responsible AI solutions.

Build self-service developer tooling and platform infrastructure to support high-traffic distributed systems. Lead platform engineering for AWS/EKS with IaC (Terraform), drive reliability and observability (metrics, logs, tracing), implement privacy-sensitive infrastructure, and establish sustainable on-call and business continuity practices while collaborating across product teams.

Lead client relationships and provide industry and competitor insight. Support Directors on valuation and decision intelligence methodology, identify engagements, supervise and mentor staff, and drive insights through data analytics across transactions, FP&A, restructuring, and strategic decision support.

Design, build, and operate a secure, scalable AWS cloud platform for data, analytics, ML, APIs and web apps. Develop reusable IaC patterns, automate deployments (CI/CD/GitOps), maintain networking and security controls, implement observability, and troubleshoot complex platform issues while collaborating with data and product teams.

Manage and optimise institutional equity securities lending portfolios and support build-out of equity total return swap products. Execute lending and swap trades, monitor risk, collateral, and P&L, engage counterparties and clients, produce reporting and market commentary, and partner with cross-functional teams to improve controls, automation, and product development.

Own and scale the corporate IT stack for a fully remote global company: manage MDM for macOS/Windows, administer identity (Okta/SSO/MFA/SCIM), govern SaaS and OAuth, build security and compliance controls (SOC 2/PCI/ISO), automate onboarding/offboarding and workflows with scripting, act as senior escalation for complex issues, and maintain runbooks and documentation.