Top Python Jobs in London

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Lead development and delivery of credit pricing strategies for revolving, instalment and card products. Use SQL and Python to build unit-level cashflow models, forecasting, incrementality and attribution models, run A/B tests, create automated dashboards, monitor portfolio performance, ensure fair value and regulatory compliance, and manage a pricing team while collaborating across Credit Risk, Product, Finance and Engineering.

Lead AI-driven productivity transformation: identify high-ROI automation opportunities, design and deploy agentic workflows and orchestration systems using APIs and LLMs, scale solutions across teams, reduce manual work, define the AI productivity roadmap, and drive adoption through tooling, playbooks, and enablement.

Customer-facing Applied AI Engineer who builds demos, prototypes, and proofs-of-concept, troubleshoots production streaming and async API issues, leads technical discovery, advises on architecture and scaling, collaborates with Product/Research/Engineering, and travels for on-site workshops and conferences (~10-25% travel). Acts as voice of the customer and contributes documentation and open-source integrations.

Lead design and delivery of secure, scalable cloud-native solutions for UK Public Safety. Translate operational needs into architectures, guide Agile/DevSecOps teams, resolve high-risk technical challenges, mentor engineers, and ensure consistency across engagements while championing automation, resilience, and security.

Design, train, evaluate and deploy production ML models for personalization and recommendations. Own end-to-end ML problems from data exploration and feature engineering to model serving, monitoring, and iteration while applying MLOps best practices and responsible AI principles.

Lead regulatory and compliance for the Hybrid Intelligent Transformer across multiple markets. Translate standards into certification roadmaps, develop and run test plans with labs, resolve test failures, maintain certification documentation, engage standards bodies and grid operators, mentor juniors, and plan compliance budgets and resources.

Provide first- and second-level on-site and remote desktop support for ~2,000 global users in a Windows/virtual desktop environment. Manage incidents and service requests within SLAs, maintain runbooks and KB articles, handle hardware/inventory and procurement, collaborate with L2/L3 teams and vendors, participate in rotational on-call coverage, and support projects as assigned.

Lead and execute laboratory, phantom, benchtop, and in-vivo experiments for non-invasive optical neuromonitoring. Own experimental workstreams from protocol design to analysis and reporting, develop and validate tissue-mimicking phantoms, acquire physiological optical data, troubleshoot systems, generate datasets to support product development and ML, and communicate findings to cross-functional teams while mentoring junior staff.

Lead FP&A for Kroo Bank, building and running end-to-end driver-based financial models, overseeing forecasting, budgeting, reforecasting, and multi-year planning. Provide management information and performance insight, partner with Treasury, Risk, Product and Operations, automate reporting with Excel/Sheets, VBA and Python, ensure capital and liquidity-aware planning, and support investor and Board reporting with scenario and sensitivity analysis.

Design, build, automate and operate a hybrid production platform across AWS and on-premises. Own and evolve HashiCorp stack (Nomad, Consul, Vault), implement IaC with Terraform, use Ansible for deployments, build automation and self-service tooling, support CI/CD, and improve platform reliability, security and observability while partnering with engineering, research and security teams.

Lead analytics for global client measurement and campaign effectiveness: design measurement frameworks, run experiments and analyses (lift, MMM, MTA), present insights, manage stakeholder relationships, support commercial scoping, and mentor analytics teams while integrating data engineering and automation.

Lead media measurement and analytics for a major advertiser: design measurement frameworks and experiments (brand/conversion lift, MMM, MTA), deliver actionable campaign insights, engage senior client and internal stakeholders, manage analytics projects and vendor SOWs, and contribute to data strategy and commercial opportunities.

Maintain and upgrade engineering environments and infrastructure, automate CI pipelines, deploy and test infrastructure, build monitoring solutions, secure and scale API-driven platforms, and support reactive architecture.

Maintain and upgrade engineering environments and infrastructure. Implement and automate CI pipelines, automate testing and deployment, build monitoring solutions, support containerized applications and API-driven platforms, and help secure and scale reactive architectures.

Join Veeva's Business Consultant Development Program as a recent graduate to support life sciences analytics engagements. Assist on customer communications, workshops, stakeholder interviews, data analysis using Veeva's Data Cloud, and collaborate on deliverables to optimize operating models. Expect structured training, customer-facing work, and up to 20% travel.

Design, build, and own an AI-powered internal developer platform for self-service provisioning, deployment, and operations. Own AWS infrastructure, cost efficiency, reliability, and security; embed AI automation for cost, anomaly detection and remediation; set platform standards (IaC, CI/CD, observability, secrets); act as internal product manager and remove developer friction to increase velocity.

The Senior Systems Engineer will design and maintain AWS infrastructure, implement Infrastructure-as-Code, enhance observability, and mentor teams. Focused on automation and reliability, this role collaborates with cross-functional teams to optimize cloud systems.

Provide asset-management and investment-planning advice for infrastructure clients: develop capex/opex (totex) plans, convert plans into portfolios and delivery programmes, implement AIP/PPM/EAM systems, lead digital asset-management transformation, and produce clear strategic reports and stakeholder communication.

Lead applied research and engineering to build production-grade video foundation models. Work includes developing latent video diffusion models, designing conditioning for controllability, scaling distributed multi-GPU training, improving training stability, building evaluation frameworks, and optimizing inference for low-latency, high-resolution deployment.

Lead design and delivery of cloud-based data engineering, analytics and AI solutions. Advise clients, capture requirements, create solution architectures, build data platforms and ETL/ELT pipelines, develop Power BI dashboards, integrate ML/Generative AI, and lead/mentor project teams to deliver scalable, secure data products.

Support traders by building and enhancing pricing and risk models, analysing trade valuation and non-commodity risks, automating processes, advising operations, and collaborating with developers to improve trade and scheduling infrastructure.

The AI Engineer designs and implements AI solutions, transforms business requirements into AI assistants, and ensures integration with existing systems while supporting data processing and monitoring.

Research and develop multimodal, controllable video generation frameworks for games, enabling low-latency, multi-player interactive control (trajectory, camera, motion, posture), designing control modules per genre, integrating with game engines/agents, and jointly optimizing controllable generation with reinforcement learning.

As an Operations Analyst Intern, you will automate processes, enhance operations through AI tools, manage new joiner experiences, and oversee the SaaS stack while collaborating with key executives.