Top Python Jobs in London

As a Marketing Analytics & Business Intelligence Analyst, you will analyze data for marketing insights, inform product strategies, and drive business growth through analytics and reporting.

Lead analytics and measurement for global clients, design experiments and measurement frameworks, deliver campaign insights, manage stakeholder relationships, coordinate data engineering and vendors, and support commercial proposals and thought leadership in media effectiveness.

Lead media measurement and campaign analytics for global clients (JLR), design experiments and measurement frameworks (lift studies, MMM, MTA), deliver actionable insights, manage stakeholder relationships, support commercial scoping and global rollouts, and mentor junior analysts.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

The Hydrologist role involves designing and maintaining quantitative forecasting tools for hydrological variables, integrating them into power generation forecasts. The role requires strong programming skills and familiarity with hydrological modeling.

Design, implement, support and develop complex machine learning models and applications for retail clients (notably Tesco). Translate data into actionable insights, collaborate with stakeholders, ensure solutions are scalable and reusable, communicate findings to non-technical audiences, and build new workstreams that deliver measurable customer outcomes.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

The Staff Engineer will lead architectural design for researcher operations systems, integrating SaaS components, and managing technical strategy while collaborating across teams.

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

Lead and build Alto's data science capability: define roadmap, develop and productionise predictive models (churn, propensity, forecasting), run experiments, create segmentation and scoring, surface insights via ThoughtSpot, collaborate with engineering and commercial teams, and hire/mentor a data science team.

The Senior Software Engineer will design and maintain backend services, enhance CI/CD systems, and develop scalable AWS infrastructure, while contributing to architectural decisions and ensuring system security and observability.

The role involves developing options trading strategies, applying pricing models, conducting backtests, and mentoring junior researchers, all in a collaborative environment.

Design and deliver enterprise AI solutions using Microsoft cloud technologies. Develop .NET software, build prototypes, QA releases, debug across environments, produce technical documentation, and support engineering process improvements within agile teams.

Own and build the ElevenAPI developer dashboard features end-to-end (front and back end). Implement usage analytics, observability/metrics, API key management, run UI experiments, and contribute to SDKs to improve developer self-service and troubleshooting.

Support the compliance and legal teams with document preparation, deadline tracking, vendor deployment coordination, business analysis, AML/CFT research, Relativity data maintenance, report drafting, cross-team liaison, and general administrative tasks to ensure smooth project workflows.

Join the Motivation and Social Neuroscience lab to collect and analyse behavioural and neuroimaging (fMRI/MEG) data, run large-scale online studies, contribute to manuscripts and presentations, develop/adapt methods and models, supervise/guide assisting staff or students, handle research-related administration, and collaborate with national and international partners while promoting equality and inclusion.

Lead end-to-end development and productionisation of time-series forecasting ML solutions: design, train, deploy models, build cloud-native data pipelines, collaborate with stakeholders, and monitor model performance to optimise clinic scheduling and staffing.

Design, build, and maintain enterprise Atlassian solutions (Jira, JSM, Confluence). Translate business needs into configurations, automations, integrations (M365, CI/CD, APIs), and documentation. Ensure platform stability, performance, governance, and stakeholder collaboration while driving automation and cross-platform connectivity.

The Staff Software Engineer will design and manage end-to-end data pipelines, ensuring data quality and governance while collaborating across Java and Python systems, including event schema design and AI tooling.

As a Senior DevOps Engineer, you'll design and implement AWS infrastructure, ensure system reliability and security, manage CI/CD pipelines, and lead incident resolutions.

Lead and execute IT audit engagements across APAC, evaluating IT infrastructure, cybersecurity, applications, and controls. Use data analytics to design and perform data-driven audit procedures, validate remediation, prepare audit reports and working papers, support continuous auditing and automation, and collaborate with regional/global audit teams and governance forums.

Lead end-to-end pricing for complex, multi-class insurance portfolios. Partner with underwriters to design and optimise portfolio structures, assess pricing adequacy, monitor portfolio performance, develop benchmarks and pricing tools, derive expected loss ratios for planning, and mentor junior actuaries. Provide clear recommendations on deal structure, pricing, and capital efficiency while supporting governance and cross-functional collaboration.

Support pricing of structured multi-line portfolio deals through data preparation, modelling, and analysis. Produce portfolio monitoring, benchmarks, and expected loss ratios, collaborate with underwriters and finance, enhance pricing tools and metrics, contribute actuarial input to projects, and mentor junior analysts.

Provide actuarial portfolio and pricing analytics to guide senior leadership and the Group Board, support business planning and reforecasting, produce loss ratio and portfolio construction materials, coordinate cross-product pricing initiatives, and deliver data-driven insights to optimize portfolio profitability.

Lead design and implementation of the Libraries Platform: services, pipelines, package index, automation for builds, CVE remediation, SBOM/provenance, AI-assisted patching, and reliability/observability for multi-ecosystem package workflows.