Top Python Jobs in London

The Lead Analytics Engineer at Graphcore is responsible for developing and managing the analytics engineering layer, creating robust datasets and metrics, and collaborating with business stakeholders to enhance decision-making through reliable analytics.

Design and develop technology solutions in partnership with global teams, addressing challenges in cancer care through innovative software engineering practices.

Lead product analytics for LATAM & MEA expansion: define and monitor KPIs, support product launches with forecasting and experimentation, build reusable data assets, and influence product decisions through clear data-driven insights and stakeholder storytelling.

Build a greenfield ML lifecycle platform for financial crime detection: design declarative training pipelines, model packaging/serving, evaluation frameworks, monitoring and drift detection, and integrate with central ML infrastructure to improve data scientist productivity and ensure regulatory auditability.

Support investment teams by acquiring, cleaning, and analyzing multi-source data to test investment theses, identify inflection points, and present research. Learn fundamental investor approaches, build decision-support tools, and communicate findings clearly to Sector Data Analysts and investment teams.

Build and deliver production-ready, LLM-enabled full-stack applications: backend services, data/LLM pipelines, vector search, and front-end UIs. Embed with customers onsite to deploy, iterate, codify reusable AI assets, shape platform tooling, and ensure scalable, observable, secure enterprise deployments.

Develop, implement and optimise large-scale ML models for Graphcore hardware; benchmark and scale training/inference across thousands of accelerators; test internal releases, fix and review code; design and run experiments; collaborate with Research, Software and Product teams; engage with the AI community.

Lead discovery, roadmap and delivery of data- and AI-driven products for payments: identify opportunities, build business cases, prioritise roadmaps, coordinate cross-functional Agile delivery, and support go-to-market and commercialization.

Partner with XVA trading and counterparty credit risk to design, develop, and deploy quantitative models and analytics for pricing and risk management. Translate business needs into solutions, provide production support, own implementation with Technology, and drive model governance and validation.

Build and maintain secure, production-ready ML solutions and cloud frameworks using Python and AWS. Collaborate with data scientists, platform teams, SRE, and engineering communities to integrate, deploy, monitor, and scale AIML systems following SDLC and MLOps practices.

Lead onboarding and running equities client billing to the strategic cost & commission calculator. Own monthly billing cycle, transform manual processes into scalable automated solutions, embed controls and documentation, partner with front office, technology, operations and risk, and present progress and metrics to global stakeholders.

Own the end-to-end customer value journey for Banking & Financial Services clients: translate strategic objectives into Celonis use cases, build demos and business cases, run value workshops, prototype with SQL/Python and AI, drive adoption/expansion, present value to C-level stakeholders, and provide product feedback.

Serve as trusted advisor to banking clients to identify, quantify, and realize value from Celonis Process Intelligence. Lead value assessments, build business cases and demos, run workshops, manage stakeholder communication, drive adoption, expansion and renewals, and feed product teams with customer insights.

Lead software engineer on AI/ML data platforms building secure, cloud-native production systems. Designs, implements, debugs, and reviews code, drives adoption of AI-assisted engineering practices, mentors junior engineers, evaluates vendors, and ensures operational stability and secure SDLC practices.

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

Commodities Analysts generate commodity investment ideas through fundamental research and data analysis, focusing on modeling supply and demand and improving data quality.

Contribute code to Palantir's infrastructure platforms (Foundry, Gotham, Apollo) across backend, developer, frontend, and storage teams. Work on Kubernetes-based PaaS, deployment/change-management, and observability tooling to improve engineering velocity and reliability. Collaborate with engineers and non-technical stakeholders, learn quickly, and support developer workflows.

Embed with government customers to design, build, and ship custom software and LLM workflows. Own end-to-end projects, handle large-scale data, make architecture decisions, and maintain stakeholder relationships. Expect substantial travel and obtain security clearance. Responsible from first customer conversation through production delivery.

Build and maintain large-scale infrastructure for Palantir platforms (Foundry, Gotham, Apollo). Contribute to backend, developer, frontend, and storage infrastructure, Kubernetes-based PaaS, observability tools, and internal infrastructure used by sensitive environments. Collaborate across teams, write high-quality code, and improve developer productivity.

Embed with customers to design and ship custom, production-grade software and LLM workflows. Handle large-scale data, make architecture decisions, build front-end and infrastructure solutions, and manage stakeholder relationships while traveling 25–50% of the time.

Build and ship production-quality software across Palantir products (Gotham, Apollo, Foundry). Participate in full product lifecycle, collaborate with cross-functional teams, learn from a mentor, and engage with users to solve data-driven problems.

Contribute production-quality code to Palantir products (Gotham, Foundry, Apollo); participate across the product lifecycle; collaborate with cross-functional teams; learn from a mentor; and engage with customers to understand real-world problems.

Embed with customers to design and ship production software and AI solutions. Collaborate on architecture, handle large-scale data, build custom applications and LLM workflows, and manage stakeholder relationships while traveling to customer sites.

Embed with government customers to build production software and LLM workflows, handle large-scale data, collaborate on architecture/design, and own end-to-end projects. Interns travel (25–50%), engage directly with stakeholders, and are given meaningful responsibility from day one.

Lead global software projects for the Strategic Index platform, designing, developing, and testing applications. Collaborate with quant, trading, and business teams, apply Agile practices, drive adoption of AI-assisted engineering, ensure quality, and deliver production-ready solutions.