Top Python Jobs in London

Research, develop and implement asset-backed trading strategies and optimization models for large-scale batteries across multiple markets. Build backtesting and parameter-optimization pipelines, improve forecasting and ML models, support revenue simulations, and work with Trading & Portfolio Management to maximize asset performance.

Monitor, triage, investigate, and respond to security alerts across endpoints, cloud, and networks. Administer SOC tools (EDR, SIEM, Azure Sentinel), tune detections, support incident containment and remediation, assist threat hunting, maintain compliance documentation, and collaborate with IT and engineering to improve security posture.

Own the full growth funnel—from acquisition to expansion—identify high-leverage opportunities, design and run experiments, build instrumentation and agents to surface growth signals, and work closely with growth engineers to ship experiments that move metrics and drive measurable product growth.

As a Principal Research Scientist, you will lead research work-streams, guide junior team members, and collaborate closely with machine learning and simulation engineers to develop AI-driven models for engineering challenges.

Develop and research ML and deep learning models (especially for PDEs, geometric and spatiotemporal data) to predict physical system behavior. Collaborate with ML, simulation engineers, and customers to translate physics problems into models, run experiments, productionize models, publish results, and mentor junior colleagues.

Investigate malware and adversary TTPs, hunt for emerging threats, produce threat intelligence reports, develop data-driven detection methods, present findings, and collaborate with product and research teams to improve detection capabilities.

Lead or support economic analysis and techno‑economic modelling on energy, decarbonisation, infrastructure and regulation projects. Translate technical analysis into persuasive client and policy outputs, shape research design, contribute to business development, and help build the practice.

Lead and grow multiple mobile engineering teams building M&S native iOS and Android apps. Drive technical excellence, architecture, automation, CI/CD, testing and operational ownership. Partner with Product and Delivery to set strategy, OKRs, and deliver reliable, scalable customer-facing mobile experiences while fostering talent, communities of practice, and continuous improvement.

Lead high-value analytics projects: translate business questions into analysis plans, run exploratory and diagnostic analysis, apply statistical and quasi-experimental methods, evaluate initiatives, quantify impact, and coach analysts while shaping analytical standards across Marketing & Sales.

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.

Design, build and maintain infrastructure automation using PowerShell, Python, Terraform and Ansible; create BitBucket CI/CD pipelines; apply SRE principles for observability and reliability across Office 365, VMware, AWS and Azure; mentor peers, participate in on-call rotations, and embed security and governance into automation workflows.

Join the Marketing Analytics team to build and own Marketing Mix Modelling pipelines, clean and structure time-series marketing data, calibrate models with experimental results, run budget scenario simulations, query user data with SQL, collaborate on data pipelines, and communicate econometric and machine-learning insights to stakeholders to inform multi-million-pound marketing decisions.

Lead the technical direction for cloud infrastructure and delivery platforms, architect and operate secure, scalable Azure/AWS environments, design CI/CD and IaC, productionize AI solutions, own incident response and reliability improvements, and provide hands-on technical leadership and standards across teams.

Lead pricing-focused data science work: develop and deploy ML models for claims, fraud and risk KPIs; perform deep portfolio analysis using diverse datasets; own end-to-end delivery from concept to production; identify new data opportunities and mentor junior analysts.

Lead analysis and development of insurance pricing solutions using new and existing data. Own end-to-end delivery of pricing changes, monitor performance metrics, identify trends, extract value from datasets, and support the development of junior analysts.

Lead end-to-end pricing analysis and deployment for alternative pricing; explore new datasets, propose pricing changes, monitor performance metrics, and support junior analysts. Innovate pricing solutions using SQL and Python to improve risk assessment and profitability in UK motor insurance.

Develop and deploy pricing and risk models for motor insurance using diverse datasets. Own end-to-end ML projects from EDA to production, evaluate post-deployment performance, identify new data opportunities, and mentor junior analysts to improve pricing, claims prediction and fraud detection.

Design and deliver AI, ML and advanced analytics solutions on the Microsoft Azure stack from discovery through production. Lead technical direction, run consultative workshops, manage client stakeholders, support presales, mentor colleagues, and contribute to internal and external communities.

Lead and grow mobile engineering teams (iOS/Android), set technical strategy and OKRs, drive architecture, CI/CD, testing and reliability, partner with product and delivery, hire and coach managers, and ensure operational excellence across native mobile apps.

Design, build, and maintain no-code/low-code and custom-code automations for influencer programs: discovery, onboarding, contracts, content tracking, reporting, and payments. Own integrations, webhooks, error handling, secrets management, and data validation (SQL) while partnering with marketing, finance, legal, and BI.

Lead analytical work to inform high-value decisions: translate business questions into analysis plans, run exploratory and diagnostic analysis, design statistical models, experiments and quasi-experimental methods to quantify impact, and coach analysts while shaping analytics standards and best practice.

Build and maintain detection and incident response capabilities: triage alerts, investigate incidents, author and tune detection rules, onboard and parse security telemetry (Chronicle), dashboarding, automate detection/response with scripting, and apply threat intelligence and security frameworks to improve posture.

Build and optimize backend microservices, APIs, and data models for a global payments platform. Collaborate with client teams, lead architecture for high-concurrency low-latency systems, and ensure testing, monitoring, deployment, and secure data handling for scalable financial products.

Design and implement enterprise-grade MLOps and LLMOps architectures on AWS, build scalable ML/LLM pipelines, enable CI/CD and observability, enforce governance and security, mentor teams, and guide cross-functional delivery of production ML solutions.

Conduct original AI safety research by designing and running experiments on transformer-based LLMs, applying white-box and black-box interpretability methods, developing reproducible Python research code and tooling, documenting results in papers and reports, and translating findings for external partners and stakeholders.