Top Python Jobs in London

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.

Build and operate GenAI production infrastructure for open-weight LLMs and VLMs: real-time GPU serving, high-throughput batch inference, fine-tuning, autoscaling, backend services, observability, and platform surfaces enabling teams to ship GenAI products.

Build and operate production GenAI infrastructure for open-weight LLMs and VLMs: real-time GPU serving, high-throughput batch inference, fine-tuning, autoscaling GPUs, backend services, observability, cost/latency optimization, and platform surfaces (LLM/Agent Gateways, evals, guardrails).

Senior technical role supporting Exposure Management with focus on non-traditional reinsurance (ILS). Responsibilities include technical review and design of ILS treaties, stakeholder engagement, catastrophe model validation support, portfolio optimisation using statistical methods, automation and process improvements, and integration of pricing/aggregation systems with modelling tools.

Provide analytical and data-management support for Energy & Marine exposures: capture, cleanse and structure exposure data for modelling, monitor portfolios against risk appetite, produce reports and MI, investigate data quality issues, support underwriters and regulatory/internal reporting, and help improve processes and tools.

Lead and build a marketing data science and analytics function to unify marketing measurement (MMM, attribution, mobile measurement), experimentation, and MarTech. Hire and manage teams across analytics, data science and engineering, set measurement standards, partner with Finance and senior stakeholders, drive predictive analytics and media optimisation, govern privacy-first measurement across markets, and manage vendor and build-vs-buy decisions.

Consult on life sciences strategy, market access, and evidence generation for pharma, biotech, devices and diagnostics. Own workstreams, perform research and analysis, produce client-ready outputs, engage senior stakeholders across global/EUCan markets, support proposals, and mentor analysts.

Lead DevSecOps engineer embedding automated security controls into CI/CD pipelines, building internal DevSecOps tooling, driving cloud-native and container security (AWS/Azure), enabling continuous compliance, leading vulnerability management, and providing technical mentorship to raise security maturity across engineering teams.

Founding analytics engineer for Finance to design and own data infrastructure, build production ETL/ELT pipelines, create scalable data models, ensure data quality and testing, and deliver actionable insights to Finance leadership to support month-end close, capital allocation, and IPO readiness.

Lead architecture and build a production AI Media Production platform delivering 1:1 product-accurate image and video assets. Ship modular, versioned generative pipelines (node-based or code-first), train LoRAs end-to-end, integrate control-first methods (ControlNet, IP-Adapter, inpainting, reference conditioning), deploy internal GPU-backed tools and one-click UIs, and embed automated QC against product references. Partner with design to own roadmap, qualify models/tools, and enable creative teams.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.

Own and operate end-to-end ML infrastructure: build and maintain Airflow pipelines, CI/CD and IaC for model training/deployment, manage MLflow registry, deploy to AWS and edge devices, implement monitoring/data-versioning, ensure HIPAA/SOC2 compliance, and support reproducible, reliable ML in production.

Research, prototype, and deploy ML models for physiological sensing (radar, audio, other signals). Design experiments, implement production-grade models for cloud and on-device inference, optimize for constrained compute, collaborate with clinical and engineering teams, and contribute documentation and regulatory evidence.

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Embed STRATOS platform at customer sites, design and deploy scalable generative AI workflows, execute complex data integration with PySpark and distributed technologies, and collaborate directly with clients to translate business needs into maintainable data pipelines and successful implementations.

Own customer collaboration, analyze large datasets to surface strategic insights, work cross-functionally to solve client problems, support strategic initiatives, and present findings to executive stakeholders to ensure product delivers business value.

Design and build configurable, reusable platform functionality in Palantir Foundry; create scalable data models and workflows using PySpark and SQL; develop generative AI workflows; integrate enterprise data; collaborate with FDEs and product to generalize customer solutions into deployable templates.

Lead design and delivery of a Snowflake-based cloud reporting and data analytics platform for SwapClear & Listed Rates. Own migration from Oracle/Informatica, ensure availability, performance, governance and lineage, drive technical standards, mentor engineers, partner with architecture, governance and business stakeholders, and support quality, observability and multi-year roadmap delivery.

The Site Reliability Engineer will ensure system reliability and performance by implementing monitoring solutions and optimizing incident management, collaborating with cross-functional teams to enhance operational efficiency.

The Platform Engineer will design and implement cloud infrastructure and tooling for ECM applications, focusing on reliability and efficiency in a collaborative engineering team.

10-week on-site internship combining quantitative research and engineering: build Python systems, data pipelines, APIs, and production-ready tools to analyse large financial datasets, implement and operationalise models, deploy and maintain systems (cloud, CI/CD), and deliver a meaningful project while collaborating with researchers, engineers and stakeholders.

Design, implement and operate full-stack features end-to-end: backend services and APIs in Python, frontend applications in React+TypeScript, and deploy/manage cloud-native AWS infrastructure. Maintain, monitor, and improve production systems, CI/CD pipelines, testing, and developer workflows while collaborating with product and stakeholders.

10-week internship developing client-facing solutions, financial research, and technical systems. Tasks include debugging Python, deploying infrastructure, building REST APIs and data pipelines, shipping production-quality code, supporting clients, testing bespoke workflows, and liaising between clients, product, and engineering to drive product enhancements.

Drive adoption and optimization of Splunk security products for enterprise customers. Provide technical guidance on use case development, configuration, and resilience. Resolve complex issues, collaborate with sales and engineering, build scalable processes, drive CSAT, identify expansion opportunities, and mentor teammates to improve team capability and customer outcomes.

Serve as a trusted technical advisor to optimize Splunk adoption and performance. Drive architecture guidance, capacity and upgrade planning, escalations, integration design, cloud migrations, cost and risk assessments, and cross-functional collaboration to improve customer outcomes and identify upsell opportunities.