Top Python Jobs in London

Work across the full software lifecycle to build robust margin and collateral solutions. Collaborate with product teams and users, design and implement RESTful APIs, apply TDD and clean code, and handle data structures, algorithms and SQL. Adapt quickly in a fast-paced, changing environment and contribute to a strong global engineering culture.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

The Engineering Manager will co-own product delivery, grow and support their team, promote cross-functional alignment, drive operational excellence, and contribute hands-on when necessary.

Design and implement scalable IAM architecture and tooling for AuraDB. Integrate enterprise SSO providers, implement auth protocols (OAuth2, OIDC, SAML, LDAP, MFA), manage lifecycle (SCIM), develop access control models (RBAC/ABAC/PBAC/ReBAC/FGA), enforce least-privilege, apply zero-trust patterns, ensure SOC 2 compliance, mentor engineers, and collaborate across product, security, and infrastructure teams.

Join the Front Office R&D team to design and maintain Python libraries and frameworks, provide production support, and enhance system reliability.

Partner with product, engineering, marketing, and finance to define high-impact analytical questions, establish causal measurement (A/B tests, causal inference), set metric strategies, drive decisions from analysis, and shape an AI-native analytics stack while mentoring senior data staff.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.

Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.

Pre-sales Solutions Architect responsible for driving adoption of the Lakebase product line by partnering with Account Executives, designing and delivering technical solutions, workshops, demos, and customer collateral. Acts as a trusted advisor and tier-3 escalation for complex technical challenges, influences product roadmap with field insights, and collaborates with GTM, R&D, and GSIs to achieve strategic territory targets.

Lead design, build, and scale centralized SRE platforms and internal tools to improve operational efficiency, resiliency, monitoring, automation, and runbooked support for production services. Hands-on full‑stack development, infrastructure automation, observability, SLIs/SLOs, AIOps, and cross-team partnership to reduce toil and improve reliability.

Lead enterprise Java full-stack strategy and modernization (cloud, microservices, event-driven, API platforms). Champion AI-driven development and LLM/GenAI tooling. Oversee backend (Java) and frontend (React/Angular) delivery, ensure secure scalable design, CI/CD and DevSecOps practices, reduce technical debt and vulnerabilities, and lead large-scale programs for velocity, reliability, and cost efficiency.

Design and evaluate realistic multi-file software engineering tasks: bug fixes, feature implementations, refactors, migrations, and test generation. Write specifications and reference implementations, extend unit/integration tests, review peer submissions, identify edge cases, and ensure alignment between specs, code, and expected outputs. Part-time, project-based consultant role, remote.

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Ensure high availability, performance, and scalability of Sedna's cloud SaaS platform. Build and automate infrastructure, manage CI/CD, monitor and troubleshoot production incidents, participate in on-call rotations, collaborate with product and engineering teams, and evaluate new tools to improve reliability and efficiency.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Client-facing cloud engineer designing, building, and operating scalable AWS infrastructure and data-platform foundations. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, technical presales, and mentor junior engineers.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

The Integration Engineer will design, develop, and maintain integrations for k-ID's services with clients, focusing on seamless implementations and troubleshooting technical issues for EMEA customers.

As a Senior Quantum Algorithm Researcher at NVIDIA, you will lead projects on AI methods for quantum algorithm discovery and develop hybrid quantum-classical applications, collaborating with supercomputing centers and industry partners to drive innovation and customer adoption.

Provide real-time, text-based mentoring and feedback for middle and high school students preparing for math contests and STEM classes. Answer questions, give hints, and encourage students during live weekly classes (Sundays 7:20–9:00 pm ET). Assist with contest-focused and regular subject classes in math, Python, physics, and chemistry.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

The Revenue Operations Analyst will manage revenue analytics for publisher accounts, create reports, identify growth opportunities, and collaborate with teams to optimize monetization strategies.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

The Technical Account Manager supports customers by troubleshooting integration issues, collaborating with teams, creating documentation, and ensuring smooth onboarding of clients.