Top Python Jobs in London

Own end-to-end delivery of production-grade Python models, from scoping and development through testing, iteration, and customer deployment. Collaborate with actuarial teams and stakeholders to solve complex modeling and coding problems, improve development standards, conduct code reviews, and mentor junior developers. The role applies predictive modeling and advanced analytics in data-heavy environments while requiring ownership of ambiguous problems and direct customer engagement.

Build and maintain Python-based predictive models on the hx modelling platform, collaborate with customer actuarial teams and developers, review and test models, develop best-practice guidance and training materials, and improve model development standards. The role requires production-grade Python, predictive modelling or advanced analytics experience, autonomy, experimentation, and comfort solving ambiguous customer problems.

Lead design, development and maintenance of scalable, secure international pricing platforms and integrations. Provide technical leadership, conduct code reviews, champion DevSecOps and automated testing, mentor engineers, and drive observability, incident management and operational excellence across cloud-native systems.

Designs and delivers enterprise data solutions using Microsoft Fabric, from discovery and prototyping through architecture and implementation. Builds data products and platforms supporting reporting, analytics, and AI using pipelines, notebooks, lakehouses, and warehouses. The role involves SQL and Python development, architectural decision-making, customer engagement, mentoring colleagues, and contributing to the data and AI community. Familiarity with capacity management, metadata-driven platforms, data modeling, Git, AI-driven development, Azure DevOps, and infrastructure is expected or desirable.

Own end-to-end data science initiatives for a wholesale marketplace, including predictive modeling, ranking, demand forecasting, pricing, experimentation, segmentation, matching, and LLM-powered features. Translate ambiguous commercial problems into measurable ML and statistical solutions, deploy and monitor production models, conduct A/B tests, and collaborate with Product, Engineering, Finance, and Commercial teams.

Develop and maintain SiteView, a secure SaaS digital claims platform, across front-end and back-end systems. Build features using React, Java, and AWS; investigate issues, resolve bugs, optimize performance, and contribute to testing and deployment. Collaborate with developers and business teams to translate requirements into reliable solutions. Apply sound coding practices, networking knowledge, Docker-based development, and responsible use of AI-assisted development tools.

Software engineering interns will contribute to industrial projects in embedded firmware, software tools, software drivers, or system testing. Responsibilities may include developing C/C++, Python, Java, or Linux-based software; creating device drivers and developer tools; collaborating with hardware and UX teams; and designing automated tests for embedded hardware from FPGA emulation through silicon. Interns receive mentoring while developing technical, teamwork, planning, and problem-solving skills.

Supports trading and middle-office operations across order execution, trade matching, settlement, treasury, reconciliations, corporate actions, and execution-quality reporting. The role uses Python, SQL, and Excel to monitor trading activity, resolve execution inquiries, automate workflows, and prepare reporting. It also involves coordination with brokers, custodians, counterparties, and internal teams while maintaining accurate financial records and resolving operational exceptions.

Develop and validate thermodynamic, kinetic, property, VLE, activity coefficient, and degradation models for advanced carbon-capture solvents. The role involves implementing solvers and optimizers, fitting large parameter models to laboratory data, designing validation experiments with wet-lab teams, analyzing results, developing reaction schemes, contributing to intellectual property, and communicating findings to internal and external stakeholders.

Develop and support Generative AI platforms, backend services, CLIs, SDKs, and LLM-based applications. Write tested, maintainable code; collaborate through pair programming and code reviews; investigate bugs; and contribute to scalable distributed systems. Gain experience with cloud-native technologies, containers, Kubernetes, databases, authentication, observability, and AI infrastructure while working under senior mentorship.

Build, test, deploy, and operate secure, reliable, scalable software and services. Partner with customers and stakeholders to define requirements, design solutions, and deliver outcomes end-to-end. Drive engineering practices including code reviews, automated testing, CI/CD, observability, documentation, and security compliance. Develop reusable components, lead technical workstreams, collaborate across disciplines, and apply AI and software engineering advancements to production solutions.

Build and operate reliable, highly available HPC infrastructure for AI model training and inference. Responsibilities include observability, automation, deployment, scaling, failover, incident management, postmortems, security, compliance, and collaboration with ML and platform engineering teams. The role requires operating CPU/GPU clusters, distributed systems, storage, networking, workload schedulers, and ML pipelines while optimizing capacity and costs.

Build and deploy governed AI applications directly with traders, portfolio managers, and quants. Scope ambiguous use cases, develop production-grade systems, establish engineering standards, and create reusable MCP servers, agents, skills, and templates. The role requires strong Python and SQL, front-office trading experience, LLM application expertise, agentic coding experience, and production delivery across APIs, containers, CI/CD, and cloud infrastructure. It also includes governance, evaluation, documentation, operational handover, and measuring business impact.

Conduct quantitative economic consulting research for competition, telecom, consumer protection, and product liability cases. Responsibilities include analyzing messy data, performing statistical and econometric analyses, building economic and financial models, reviewing literature and industry trends, and communicating findings. The role requires collaboration with senior consultants and experts, strong quantitative skills, and proficiency with tools such as Stata, R, Excel, or Python.

Manage and improve identity and access management services across on-premises, virtualized, and cloud environments. Lead IAM projects, Okta integrations, Microsoft 365 administration, DSAR technical execution, infrastructure security improvements, system monitoring, incident and change management, scripting, and operational support. Collaborate with security, compliance, legal, and technical teams while maintaining Windows Server, Linux, network, web, database, and cloud infrastructure services.

Build and operate H’s environment-agnostic infrastructure platform, including Kubernetes clusters, networking, authentication and authorization systems, infrastructure as code, CI/CD, observability, and Kubernetes-native services. The role focuses on scaling infrastructure, supporting customer deployments, improving deployment speed, and handling complex cloud, networking, security, data, and GPU workloads.

Build and operate an environment-agnostic infrastructure platform supporting H's products and customers. Responsibilities include scaling Kubernetes clusters and networking, developing authentication and authorization systems, accelerating deployments, building Kubernetes-native controllers and operators, and maintaining infrastructure as code. The role also involves CI/CD, observability, multi-cloud systems, complex network topologies, and high-scale or latency-sensitive workloads.

Supports public-markets investment research, portfolio construction, monitoring, and continuous improvement across multi-asset, systematic, and fundamental equity portfolios. Develops quantitative models, analytical tools, datasets, dashboards, and reporting using Python and financial data. Partners with portfolio managers and cross-functional teams to analyze performance, risk, exposures, and investment opportunities while strengthening research and technology infrastructure.

Lead and scale OLIX’s commercial legal function, personally negotiating major customer, manufacturing, supply chain, licensing, JDA, and partnership agreements. Establish playbooks, templates, risk positions, workflows, and AI-enabled contracting processes. Advise on IP, data protection, export controls, and commercial risk while partnering with engineering, sales, procurement, and operations. Build and manage the legal team, oversee external counsel, support CLM implementation, and help shape broader legal strategy in a fast-growing deep-tech company.

Build and scale a full-stack platform for managing clinical trials. The role involves developing frontend, backend, and infrastructure components; collaborating with product managers, designers, users, and nontechnical teams; supporting production systems; investigating and fixing bugs; responding to user issues; and contributing to product development processes in a fast-growing clinical-trials technology startup.

Designs and maintains CI/CD pipelines, automates cloud infrastructure provisioning and configuration, monitors system performance, troubleshoots issues, and ensures security and compliance. The role collaborates with development and cross-functional teams to support seamless deployments and continuous improvement. It requires AWS and broader cloud expertise, infrastructure as code, containers, scripting, networking, security, and system administration knowledge. Travel to UK client sites is required, along with active DV security clearance and BPSS clearance.

Manage end-to-end software releases, coordinating cross-functional teams to deliver timely and reliable releases. Improve installation workflows, automate release processes, and collaborate with developers using GitHub. Build, support, and enhance cloud-native platforms with Golang and Kubernetes while applying CI/CD and DevOps practices.

Supports and improves live analytical products, serves as the first contact for users, manages the team backlog and governance process, maintains documentation and delivery records, and contributes to new product development and deployment platforms. The role works directly with consultants and client directors and requires Python plus familiarity with analytical UI, reporting, version control, and delivery tools.

Lead end-to-end development of reusable analytical products, translating ambiguous commercial questions into decision-support tools for senior leaders and clients. Build maintainable Python-based products, frameworks, libraries, and templates; support production deployment and ongoing changes; work within software development governance; and review and develop colleagues’ technical work. The role requires consulting skills, clear communication with technical and non-technical stakeholders, ownership, adaptability, and experience delivering analytical products into sustained use.

Supports live analytical products, serves as the first point of contact for users, manages the team backlog and governance process, maintains delivery documentation, and contributes to new product development and deployment platforms. Works directly with consultants and client directors while using Python and related analytical technologies including Shiny, Quarto, Git, and Azure DevOps.