Top Python Jobs in London

Create and run large-scale crowd simulations, develop locomotion and motion behaviours, integrate crowd work into VFX pipelines, build tools and workflows, and collaborate across modelling, rigging, animation, mocap, and lighting to meet production quality and deadlines.

Own the paid media data domain end to end, including ingestion, user-level modeling, data marts, semantic definitions, reverse ETL, reliability, alerting, and incident response. Lead and mentor data engineers, establish technical standards, shape the roadmap, collaborate with platform and business teams, and remain hands-on in SQL and Python. Build production pipelines using dbt, Dagster, cloud warehouses, and related tooling while supporting analytics, machine learning, and data science use cases.

Lead design, development, and delivery of risk, pricing, trade capture, and commodities operations software. Collaborate with trading, quant, sales, and middle office to produce secure, high-quality production code, provide technical guidance, and drive product and architecture decisions. Promote cross-team collaboration, firmwide engineering practices, and mentor engineers to deliver scalable solutions.

Own the post-training lifecycle for biological foundation models, including alignment strategy, fine-tuning, validation, experimentation, and production deployment. Build pipelines that adapt models to therapeutic contexts and client use cases, validate improvements against biological ground truth, run distributed GPU experiments, analyze results, and deliver capabilities to pharma customers. Collaborate with machine learning and biology teams, contribute to open-source tooling, and apply emerging post-training research to drug discovery workflows.

Build and operate scalable public-cloud platforms supporting participant websites, high-volume health and genetic data processing, de-identification, and secure sharing with Trusted Research Environments. Responsibilities include infrastructure as code, GitOps, CI/CD, Kubernetes, distributed systems, cloud security, ETL tooling, production support, troubleshooting, and defining engineering practices in a growing team.

Build and operate scalable cloud platforms supporting websites, high-volume health and genetic data pipelines, and Trusted Research Environments. Responsibilities include infrastructure-as-code, GitOps, Kubernetes, production troubleshooting, platform improvements, service integration, architectural planning, incident reviews, code reviews, testing, coaching, and on-call support. The role partners with product and engineering teams to deliver reliable, secure systems at scale.

Designs, develops, tests, operates, and supports secure, reliable software solutions. Responsibilities include translating requirements into technical designs, building full-stack or cloud software, reviewing AI-assisted code, creating automated tests, participating in code and design reviews, documenting systems, and improving engineering practices. Specialisms include backend, frontend, full-stack, DevOps, and cloud engineering, using technologies such as Python, JavaScript, AWS, Terraform, and Kubernetes.

Own the global marketing measurement framework spanning attribution, experimentation, and Marketing Mix Models. Lead two analysts, develop the measurement product roadmap, build scalable attribution features using SQL, Python, and dbt, and generate insights to optimize marketing channels and spend. Partner with marketing, data science, engineering, and finance teams while serving as the subject matter expert on advertising effectiveness and communicating recommendations to technical and non-technical stakeholders.

Analyze paid social audiences and platform performance to identify bidding, budget, and testing opportunities. Design experiments, validate measurement signals, maintain dbt data pipelines, and build reliable BI dashboards. Develop analytical frameworks for budget optimization, investigate anomalies, and communicate insights, risks, and trade-offs to marketing stakeholders. Collaborate with platform, data science, marketing science, and analytics engineering teams while applying attribution, unit economics, incrementality, and marketing measurement expertise.

Analyze Wise Platform pricing, costs, and profitability to identify pricing improvements and growth opportunities. Investigate complex cost data, improve data quality and allocation methodologies, explain product economics, monitor financial performance, and support pricing model enhancements. The role requires advanced SQL, visualization, dbt data modeling, stakeholder influence, and collaboration across analytics, engineering, and business teams.

Generate actionable growth and financial insights through dataset curation, metric development, statistical modeling, and deep-dive analysis. Analyze company and regional growth drivers, customer segments and cohorts, and the financial impact of marketing and product initiatives. Build data visualizations and communicate findings to influence business decisions, while managing stakeholders and organizing work independently.

Drive analytics for financial crime screening products, balancing risk mitigation with a smooth customer experience. Responsibilities include defining and tracking metrics, building data pipelines, preparing reports and visualizations, conducting discovery analysis, identifying control and customer-experience improvements, and communicating actionable insights to product, engineering, and operations stakeholders.

Lead pricing analytics for Wise Platform by investigating cost data, improving data quality and allocation methodologies, monitoring financial performance, and identifying profitability and growth opportunities. The role requires building complex SQL data sources, developing reusable dbt models, explaining product economics, influencing pricing strategies, and partnering with analytics, engineering, and business teams.

Build and deploy AI-powered solutions directly with clients and internal delivery teams. Responsibilities include scoping ambiguous problems, designing LLM and retrieval workflows, developing scalable backend and infrastructure systems, optimizing operational workflows, translating messy data into technical architectures, iterating with stakeholders, and creating reusable deployment tooling. The role also involves client communication, end-to-end project ownership, customer on-call support, travel for client engagements, and hybrid office work.

Own data extraction and integration across warehouses, business systems, and APIs. Build decision-focused Power BI or Tableau dashboards, answer urgent business questions, automate manual reporting with Power Automate or Zapier, and provide meaningful data insights to Finance, Sales, Operations, and Marketing. The role offers greenfield ownership and requires strong SQL, analytical ability, and independent project management.

Lead quantitative research for the US Youth Mental Health Tracker, developing rigorous measurement methods, analyzing national survey data, building interactive data tools, and collaborating with engineering teams on AI-driven research prototypes. The role includes creating composite indices, validating findings, developing analytical systems, and authoring peer-reviewed manuscripts to establish the platform as a scientific authority in youth mental health.

Research Scientist developing embodied AI and spatial intelligence systems, including spatial representations, real-to-sim pipelines, 3D scene understanding, simulation-based learning, and robotic policy evaluation. The role involves creating prototypes, applying generative and diffusion models to 3D data, collaborating across research and product teams, publishing findings, and deploying successful innovations at production scale.

Leads the Provisioning engineering team building and expanding a cloud-native platform that creates and manages Kubernetes-based development and test environments. Responsibilities include technical design, coding, code reviews, platform strategy, data-driven impact measurement, stakeholder collaboration, engineering best practices, recruitment, process development, and mentoring engineers.

Lead the architecture and development of scalable, secure, accessible frontend and fullstack web applications. Establish UI engineering standards, reusable component libraries, design system adherence, API and backend integrations, testing, performance, CI/CD, and security practices. Collaborate with product, UX, backend, infrastructure, and security teams to deliver complex technology initiatives. Provide technical leadership, mentor engineers, resolve complex system challenges, and ensure compliance with enterprise architecture and risk controls.

Create CG camera animation, scene layouts, asset staging, character blocking, and shot compositions for visual effects productions. Manage previs and postvis ingestion, conforms, and animation shot content while maintaining continuity and tidy pipeline-ready scenes. Apply cinematography and practical camera knowledge, resolve technical issues, and collaborate with supervisors under tight deadlines. Maya expertise is required; Houdini, camera tracking, 3DEqualizer, MEL, and Python experience are advantageous.

Own optimization of LLM and VLM inference systems from model artifacts through production deployment. Improve latency, throughput, memory efficiency, GPU utilization, quality, reliability, and cost per token. Deploy and extend inference engines, build compression and quantization workflows, implement decoding and KV-cache optimizations, create reproducible benchmark harnesses, diagnose production regressions, and collaborate with kernel, platform, research, infrastructure, product, and customer teams.

Lead Samsara’s vulnerability management and application security programs across cloud, firmware, IoT, and corporate systems. Define technical strategy, automate vulnerability detection and response, reduce remediation time, guide engineering teams, mentor security engineers, investigate critical vulnerabilities, and support incident response. The role requires strong AWS, programming, vulnerability management, application security testing, AI/LLM, and security automation expertise.

Own strategic customer engagements from discovery through delivery and adoption. Scope AI coding projects with executive sponsors, lead technical discovery and architecture reviews, configure workflows and integrations, partner with Forward Deployed Engineers on builds, train customer teams, monitor feasibility, identify expansion opportunities, and communicate product gaps to Engineering and Product. The role requires translating business outcomes into technical implementations while maintaining executive relationships and delivering measurable value quickly.

Owns technical strategy and customer outcomes for enterprise AI adoption across ChatGPT Enterprise, the OpenAI API, Codex, and agentic solutions. Leads executive discovery, AI architecture, technical evaluations, prototypes, production-readiness planning, adoption roadmaps, and measurable business impact. Partners with sales, engineering, deployment, security, product, research, and implementation teams while advising CTO, CIO, CISO, and engineering stakeholders.

Evaluate and onboard cross-asset market data feeds, maintain and enrich reference databases, improve data QA, liaise with vendors, produce analytics and reporting, support product development and client requests across TCA, venue analytics and trade surveillance.