Top Python Jobs in London

Designs, develops, and maintains scalable data structures, models, and automated pipelines for analytical and reporting needs. Integrates multiple source systems, transforms data into reusable datasets, monitors data quality, and implements validation and reconciliation processes. Collaborates with analysts and stakeholders to translate reporting requirements into datasets, maintains data documentation and lineage, and improves automation and efficiency. This is a UK-based remote role with occasional onsite attendance.

Lead global second-line oversight of credit, FX, and counterparty risk across Airwallex’s products and legal entities. Own risk frameworks, appetite, limits, governance, portfolio monitoring, underwriting challenge, escalation, loss mitigation, and new-product risk assessments. Partner with senior leaders, regulators, auditors, banking partners, and risk committees while overseeing exposures across payments, cards, FX, treasury, settlement, and banking activities.

Paid 6-12 month research internship creating and experimenting with ML models across vision, language, and audio to support game development, own data analysis/creation, and help deploy models at scale while collaborating with research scientists and engineers.

Lead end-to-end LogicMonitor implementations for new and existing customers. Conduct discovery, design, and deployment sessions; optimize configurations; automate tasks using APIs and scripting; develop custom integrations; and promote customer adoption. Collaborate with Professional Services, Customer Success, Support, Training, Product, Development, and Sales teams. Provide subject-matter expertise, technical feedback, and occasional monitoring engineering support. Travel 10–20%.

Leads end-to-end development and production deployment of machine learning, generative AI, and agentic solutions for payments and banking. Responsibilities include problem framing, experimentation, evaluation, MLOps, LLMOps, governance, monitoring, scalable cloud architecture, security, and systems integration. The role establishes reusable AI capabilities, partners with cross-functional stakeholders, mentors technical teams, and communicates model outcomes and operational tradeoffs to technical and non-technical audiences.

Own Perk’s go-to-market engineering strategy, architecture, tooling, roadmap, and commercial outcomes. Build production-grade Clay workflows, Salesforce automations, enrichment systems, orchestration logic, and agentic AI solutions using code and modern GTM technologies. Automate prospecting, selling, and account-management processes across global teams. Lead a senior international team, establish engineering standards, partner with revenue leadership, and quantify business impact through improved productivity and funnel performance.

Build, maintain, and monitor live trading infrastructure; develop research platforms and analytics tools; and collaborate with quantitative researchers to productionize trading strategies. The role involves greenfield development, system enhancement, refactoring, and exposure to trading and research platforms. Candidates should have strong software engineering, numerical reasoning, and problem-solving skills, with proficiency in a modern programming language and interest in quantitative research, machine learning, cloud platforms, and emerging development technologies.

Lead Site Reliability Engineer responsible for maintaining production reliability, availability, scalability, and performance. Duties include incident response, post-mortems, SLO and SLI management, Kubernetes administration, automation, capacity planning, performance optimization, documentation, and on-call support. The role partners with development and operations teams to improve service reliability and engineering practices.

Oversee Isomorphic Labs’ Technical Operations team, delivering user-facing IT support, application integration, and platform operations. Manage application lifecycles, improve technical support processes across the Alphabet and Google ecosystem, automate operational workflows, and shape systems administration strategy. Lead, mentor, and grow a high-performing team while partnering with Workplace, Engineering, scientists, and other stakeholders on the technical operations roadmap.

Build and deploy a modern AI-integrated application on Google Cloud. Develop responsive React and TypeScript interfaces, scalable Python and FastAPI APIs, Cloud Run services and asynchronous Cloud Run Jobs. Integrate Vertex AI Gemini models for data extraction and risk assessment, manage Firestore and BigQuery, configure enterprise SSO with IAP and Microsoft Entra ID, and maintain Azure DevOps CI/CD pipelines.

Own Retail Media and ecommerce analytics, including Looker governance, GA4 performance analysis, metric definitions, reporting automation, and data-quality improvements. Collaborate with Analytics Engineering, Product, commercial stakeholders, and international retail partners to develop reporting marts and semantic layers. Present actionable insights, support technical analysis, and mentor junior analysts.

Conduct EMEA-focused intelligence collection, geopolitical risk analysis, investigations, and risk assessments for a global technology client. Produce strategic and tactical reports, crisis-response updates, and stakeholder briefings supporting personnel, asset, travel, and operational security. Manage intelligence requirements, lead cross-functional projects, monitor threats, and support protective intelligence investigations. The role is primarily onsite in London, with occasional remote work and potential out-of-hours support during emergencies.

Design scalable human-data solutions for frontier AI clients, translating ambiguous model-training and evaluation needs into executable programs. Lead discovery, methodology, task and workflow design, feasibility estimates, expert profiling, quality strategies, and technical architecture in partnership with engineering and project teams. Advise on fine-tuning, RLHF, benchmarks, red teaming, multimodal data, coding tasks, and agent environments while guiding pilots through early delivery and developing reusable best practices.

Design offshore wind farm concepts and perform techno-economic assessments to support project and portfolio decisions. Analyze energy production, costs, feasibility, environmental constraints, markets, and future technologies. Identify optimization opportunities, build neutral reference cases, and translate complex technical and economic information into executive recommendations. Develop Python-based analyses, automation solutions, and AI-enabled tools to improve decision-making and operational efficiency while collaborating across interdisciplinary renewable energy teams.

Build, maintain, monitor, and improve technical pricing models for insurance portfolios using statistical and machine-learning techniques. Produce standardized data models, reporting, and pricing insights; compare predicted and actual performance; recommend model updates; and influence underwriting decisions and profitable growth. The role requires stakeholder management, collaboration on data and pricing technologies, accountability for model performance, and coaching junior analysts.

Develop and maintain software systems supporting systematic commodities trading and research. Responsibilities include building data-ingestion pipelines, deploying trading strategies, maintaining trading infrastructure, improving data visualizations, and validating production data. The role begins with software development and may progress toward independently leading quantitative research projects. Collaboration with portfolio managers, researchers, and senior developers is required.

The role involves developing and maintaining Python micro-services for a proprietary trading platform, collaborating with traders and global teams, and integrating with analytics libraries.

Develop fraud scores, statistical models, machine learning algorithms, and analytical products using credit bureau, transactional, and alternative data. Apply regression, AI/ML, segmentation, and champion-challenger techniques to fraud prevention solutions. Extract and blend complex datasets, document model development, support validation and deployment, and collaborate with product, compliance, risk, technology, and global analytics teams.

Develop, integrate, debug, and test autonomy software across unmanned aircraft and autonomous systems. Responsibilities include C++ and Python development, hardware and software integration, simulation, flight testing, telemetry analysis, Ground Control Station support, field demonstrations, troubleshooting, and operational deployment activities in Ukraine. The role collaborates across autonomy, systems, hardware, and flight-test teams in dynamic field environments.

Develop internal tooling and technical processes for building, testing, integrating, and releasing Graphcore’s machine learning software stack. Guide developers on build practices and dependency management, collaborate with QA and software teams to resolve integration issues, contribute software fixes, and help ensure reproducible builds in secure, sandboxed environments.

Build and deliver AI-driven Proof-of-Value projects for strategic enterprise customers. The role involves discovering operational challenges, developing secure and scalable LLM and agentic AI solutions using RAG and enterprise integrations, presenting technical and business value to executives, and supporting implementation, adoption, and measurable value realization. The engineer also develops industry-specific solutions, ROI models, reusable methodologies, and production ML/LLMOps practices.

Leads Oracle Data and AI consulting engagements across strategy, architecture, implementation, and deployment. Designs scalable data platforms on OCI, develops AI and generative AI solutions using Oracle services, and provides technical leadership to delivery teams. Works with clients to translate business requirements into solutions, supports architecture and proposals, and leads workstreams, mentoring, and business development activities.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Build, operate, and improve Azure-focused cloud infrastructure supporting software development, testing, and production. Develop Infrastructure-as-Code, maintain CI/CD pipelines, manage containerized workloads, implement observability, troubleshoot incidents, improve security and reliability, and automate deployment workflows. Collaborate with engineering teams to deliver scalable, cost-efficient platforms.

Build and operate production machine learning systems supporting customer engagement, marketing, pricing, personalization, and commercial decision-making. Own data ingestion, feature engineering, deployment, monitoring, and optimization across the ML lifecycle. Develop reusable MLOps tooling and infrastructure, influence architecture, partner with Applied Scientists and Data Engineers, and mentor engineers while delivering scalable solutions with measurable customer and business impact.