Top Python Jobs in London

Use life-science domain knowledge and data science to analyze Veeva and external datasets, build dashboards and pipelines, apply ML/NLP/GenAI, and present insights to senior pharma stakeholders to support R&D and commercial strategies.

Build and productionize large-scale ML and optimization systems for ads (ranking, targeting, campaign optimization, forecasting, measurement). Translate business problems into scientific solutions, partner with cross-functional teams, improve ad performance, lead technical design and experimentation, mentor junior scientists, and contribute to the applied science community.

The Junior Business Intelligence Analyst will support data and reporting initiatives, develop dashboards, and work with stakeholders to fulfill reporting needs while troubleshooting data issues.

Lead product analytics and experimentation efforts: design and maintain measurement frameworks, build product dashboards, run rigorous A/B tests and causal analyses, and deliver insights that drive engagement, retention, and monetization decisions for a two-sided marketplace.

Design, build, and operate backend services and APIs across the full SDLC. Implement, test, deploy, monitor, and support production systems on AWS. Collaborate with engineers, product, and data scientists to deliver reliable, data-focused solutions and communicate technical trade-offs to stakeholders.

Design, build and maintain cloud platforms and infrastructure; ensure reliability, security and performance; automate deployment and configuration; monitor systems and respond to incidents; collaborate with engineering, security and operations teams; drive continuous improvement and share knowledge across the platform team.

As a Staff Software Engineer, you'll work on large-scale distributed systems, optimizing performance for AI inference, and managing complex infrastructure challenges.

The role involves building and maintaining critical systems for AI inference, optimizing compute efficiency, and supporting research and deployment of AI models.

Lead development and productionisation of controllable diffusion image-generation systems for fashion. Design and train LoRA/fine-tuning pipelines, build ComfyUI workflows, improve garment fidelity and consistency, collaborate with cross-functional teams, optimise inference/GPU use, and research multimodal generative approaches.

Design, build, and maintain full-stack web applications using React and .NET Core. Collaborate with data science, product, and design to deliver scalable cloud solutions, APIs, and UI prototypes. Contribute across discovery, delivery, QA, DevOps, and CI, applying SOLID principles and automated testing.

Support actuaries, data scientists and brokers by preparing and analysing client and market data to inform reinsurance pricing. Develop pricing tools, dashboards and visualisations, automate processes using Python/R/SQL, document models and assumptions, perform ad hoc analyses, and contribute to innovation initiatives within an agile analytics team.

As an Associate Solution Engineer, you will assist the sales team in the pre-sales process, deliver product demonstrations, support solution architecture design, and engage with customers to understand their technical needs, all while developing expertise in graph databases.

Design, build and operate Db2 infrastructure products using infrastructure-as-code, automation and observability. Provide CI/CD support, advise on Db2 for z/OS design and best practices, perform SQL performance tuning, manage DDL deployments, and deliver operational support and recovery/housekeeping strategies while working with stakeholders and product teams.

Lead analytics and evaluation for search and retrieval systems: define measurement strategies, run experiments, analyze ranking and user behavior, build dashboards, ensure data quality, and partner with product, data science, and engineering to improve relevance and retrieval performance.

Design and prototype applied ML methods to improve human data quality, judgement aggregation, and AI evaluation. Build experiments, benchmarks, and reliability tests; apply classical ML, statistics, LLMs, and agentic techniques. Rapidly prototype with Python, partner with product and engineering to translate methods into scalable platform capabilities, and communicate technical trade-offs to stakeholders.

Junior Software Engineers at loveholidays develop expertise in supplier integration, search systems, real-time pricing, AI solutions, and modern user experiences.

Develop and maintain research-oriented software and infrastructure for evaluation and model hosting. Implement features for Inspect, support open-weights model hosting, design custom research infrastructure, collaborate with researchers, and debug evaluation systems. Work spans cloud infrastructure, MLOps tooling, and open-source contributions.

Design, develop, and maintain scalable, high-quality web applications. Deliver maintainable code on schedule, reduce production defects, optimize performance and reliability, mentor junior engineers, and drive technical design and architecture decisions.

Develop and scale the data platform: build time-series data pipelines, APIs, databases, CI/CD and cloud/on-prem infrastructure; apply AI for automated analysis; ensure data quality, testing and cross-team collaboration.

Lead cloud network reliability and automation across AWS: design and maintain IaC (Terraform), CI/CD pipelines, load balancers, CloudFront and Cloud WAN, implement observability and governance, participate in incident rotation, and drive cross-functional infrastructure improvements.

Develop and manage a book of vanilla gas, Brent and EUA options. Generate revenues via option and volatility strategies, trade liquid markets, market-make illiquid products, implement quantitative trading strategies, design pricing models and desk tools, and ensure regulatory and front-office compliance.

The Principal Statistical Programmer will generate specifications and datasets, develop and validate SAS/R programs, oversee CRO deliverables, and ensure compliance with regulations for clinical studies.

Lead multiple Analytics Engineering teams and managers across business domains, own multi-quarter AE roadmaps, set tooling and architecture standards, drive a data-products mindset (SLAs, observability, data contracts), coach AE managers, partner with stakeholders and recruiting to hire and scale analytics engineering capability.

Lead and coach multiple Scrum teams to improve agile ways of working, facilitate ceremonies, remove impediments, collaborate with Product Managers on backlogs and user stories, and drive productivity, quality, and engagement across teams.

Join AllianceBernstein's Systematic Fixed Income team to develop, backtest, and implement systematic fixed-income and credit strategies. Responsibilities include portfolio optimization, factor discovery and analysis, risk attribution, and contributing to a Python-based research platform (abAlphaLabs). Collaborate across the investment process and support ongoing management and enhancement of systematic strategies.