Top Python Jobs in London

Lead global deposit pricing strategy and analytics across multi-currency wealth management products. Build data assets, pipelines, models, dashboards, and executive reporting; analyze large datasets and macroeconomic trends to recommend pricing actions. Lead monthly pricing forums, partner across business lines, improve scalable analytics, and coach junior team members.

Leads software engineering for an AI/ML data platform, designing, developing, testing, troubleshooting, and operating secure, scalable Python applications in containerized cloud-native environments. Partners with product and data teams, promotes responsible AI-assisted development, automates recurring remediation, evaluates technology solutions, and mentors junior engineers.

Develop and support secure, scalable software for AI/ML data platforms. Responsibilities include Python architecture and development, cloud-native and containerized application delivery, code review, testing, troubleshooting, operational stability, and automation of recurring remediation. The role also promotes validated AI-assisted engineering practices and collaborates with product managers and data strategy teams. Preferred experience includes graph databases such as AWS Neptune and generative AI engineering pipelines.

Lead analytics for Wise Business Sales and Total Service teams by building dashboards, forecasts, cohort reports, and performance analytics. Optimize sales and service funnels, portfolios, lead management, conversion, churn prevention, SLAs, and team capacity. Conduct market sizing and expansion analysis, support go-to-market strategy, and establish reliable data foundations with Analytics Engineering. Translate commercial data into actionable recommendations while managing cross-functional projects and stakeholders.

Lead bioinformatics strategy and execution across Discovery client engagements. Design and implement computational multi-omics workflows, translate biological questions into analytical frameworks, deliver client-ready insights, mentor junior staff, support business development, and help grow internal bioinformatics capabilities and thought leadership.

Own the customer-facing support product experience, including FAQ, self-service, Help Center, Wise Assistant, and conversational automation. Develop product strategy and multi-quarter roadmaps, collaborate with design, research, analytics, content, and engineering teams, and use experimentation and data to improve customer support, reduce friction, and increase automation rates.

Conduct applied AI research across the LLM lifecycle, including training, inference, agentic systems, evaluation, explainability, and reliability. Build and deploy practical AI systems from prototype to production, develop methods for detecting hallucinations and verifying workflows, and collaborate with researchers and business teams. The role includes documenting findings, presenting to technical and non-technical audiences, contributing to intellectual property, and publishing or presenting research at industry conferences.

Designs, develops, and optimizes distributed computing solutions across HPC, Kubernetes, and cloud environments. Builds software in C++, Python, and Go; deploys applications using Kubernetes and HPC/grid technologies; and applies generative AI and observability tooling to improve monitoring and performance. Collaborates with cross-functional teams to deliver secure, scalable compute platforms.

Owns solution architecture for complex secure networking opportunities in a senior presales capacity. Leads customer discovery, high-level design, proposals, pricing support, vendor strategy, and services integration across enterprise, data center, WAN, campus, cloud, and security environments. Presents to stakeholders, aligns technical solutions with business and commercial outcomes, supports pipeline growth, and transitions designs to delivery teams. Requires extensive networking architecture experience, strong customer engagement skills, multi-vendor expertise, and familiarity with automation, cloud networking, observability, and Zero Trust.

Build and lead scalable software solutions that automate compliance and finance regulatory reporting. Process large datasets from Snowflake, generate accurate reports, build reconciliations, and translate stakeholder requirements into technical designs. Provide technical guidance, prioritize work, develop and review code, troubleshoot issues, and improve engineering standards. Collaborate closely with Compliance, Finance, Treasury, product managers, and other business stakeholders.

Build and maintain Samsara's Cloud Governance Platform across AWS and GCP, focusing on cloud IAM guardrails, automated compliance controls, and software supply-chain security. Implement SAST/DAST and secure CI/CD patterns, design scalable, reliable systems, translate regulatory requirements into automated controls, collaborate cross-functionally, and own components end-to-end while mentoring teammates and shaping the roadmap.

Own enterprise technical support cases from triage through resolution across Kubernetes, cloud infrastructure, ML platforms, authentication, data connectivity, and model deployment. Diagnose issues, write actionable Jira bug reports, create knowledge-base documentation, coordinate global case handoffs, and communicate clearly with customers. The role includes live troubleshooting sessions and participation in an EMEA weekend on-call rotation.

Design, provision, and operate a scalable, secure cloud data platform on AWS and Databricks using Terraform, automation (Python/Java), CI/CD, observability, and security best practices to support production analytics workloads.

Eight-week quantitative investing internship at BlackRock for specialized master's students. Interns contribute to investment or client projects, support quantitative research and portfolio management, analyze large datasets, translate statistical models into Python, and learn about capital markets, economic theory, portfolio trading, and investment strategies. Opportunities span quantitative research, portfolio management, product strategy, and investment technology across systematic equity and fixed-income teams.

Build scalable backend infrastructure and distributed systems for Palantir’s data platforms. Responsibilities include developing search and indexing systems, data processing libraries, container orchestration, APIs, observability, storage, authentication, asset serving, and automated deployment of technologies such as Cassandra, Elasticsearch, Kafka, and Kubernetes. Collaborate with technical and non-technical stakeholders while delivering reliable, secure, high-performance software.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Supports technical sales and customer engagements for Hivemind autonomy solutions across the EURAF region. Translates defense customer missions, CONOPs, and integration constraints into feasible solution concepts, demonstrations, proposals, and technical materials. Partners with business development, product, engineering, and program teams while explaining capabilities, limitations, and roadmap considerations to diverse stakeholders. Builds customer relationships and supports international defense modernization and capture activities.

Supports enterprise sales by discovering customer requirements, mapping them to SailPoint solutions, and delivering foundational implementations and proof-of-value engagements. Acts as a technical lead and consultative advisor, educating customers on architecture and best practices. Collaborates with sales, product, professional services, partners, and customer success teams while developing AI-driven and agentic solutions for demonstrations and customer outcomes.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Senior backend engineer responsible for designing, coding, and operating highly available distributed identity systems for Affirm’s international markets. The role includes owning quarterly goals, delivering scalable features in Kotlin and Python, collaborating across product and engineering teams, improving code and design standards, monitoring system availability, resolving production issues, mentoring engineers, and supporting technical planning and hiring.

Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; address AI risk, privacy, and compliance; and align technical solutions with business goals. Mentor engineers and communicate effectively with technical and non-technical stakeholders in complex, ambiguous environments.

Provide technical customer support through email, live chat, and forums; triage bugs and requests, meet response SLAs, troubleshoot machine learning product issues, and collaborate with engineering and product teams. Maintain product knowledge and documentation, identify recurring issues, improve support processes, and participate in a 24/7 weekend on-call rotation. The role is based in central London three to five days per week.

Analyze and monitor European NPL and RPL securitisations, including credit risk, cash flow models, recovery assumptions, stress scenarios, and transaction performance. Prepare rating committee materials, reports, press releases, and research notes. Collaborate with senior analysts and structured finance teams, participate in rating committees, and engage with originators, arrangers, and servicers across Europe.

Staff Product Engineer responsible for setting technical direction across Model Authoring teams, establishing engineering standards, owning shared infrastructure and technical interfaces, and solving complex product problems hands-on. The role requires product focus, architectural leadership in ambiguous environments, cross-team influence, AI-native engineering experience, and mentoring. The engineer will help define trustworthy agentic development practices and build tools supporting actuarial pricing model creation and management.

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.