Top Python Jobs in London

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.

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

Contract QA Engineer to build and own QA strategy for a fast-moving AI product: design scalable QA processes, drive automation (integration, E2E, regression) across Django and NextJS, apply AI to QA tasks, and collaborate with engineers to enable safe, higher-cadence production shipping.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.

As a Senior Data Scientist, you'll develop AI solutions with machine learning, mentor others, and ensure responsible AI practices while collaborating with clients to solve business challenges.

Build and maintain scalable, reliable agentic AI systems for biomedical research, integrating LLMs, tool-calling, and data platforms. Drive technical decisions, optimize analytical workflows, deploy agents on the data platform, mentor teammates, and participate in on-call rotation to ensure performance, security, and continuous improvement.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

Build and maintain scalable cloud-based data management and processing systems for biomedical research. Own platform components end-to-end, drive architecture and standards, improve CI/CD, observability, security, performance, mentor engineers, and participate in on-call incident response.

Lead SRE initiatives to ensure reliability, scalability, and performance of ClickHouse Cloud. Design SLOs/SLAs, build monitoring/alerting, run incident response and post-mortems, drive chaos engineering, improve automation, manage on-call processes, and develop platform tooling to optimize cloud operations.

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.

Join Canonical as a graduate software engineer to write high-quality code across the open source stack, work on Linux system-level and application projects, engage with communities, respond to customer issues, and develop security-aware software while collaborating remotely and attending biannual in-person team sprints.

Build and deploy production Generative AI solutions using LLMs, RAG, embeddings, and agents. Implement retrieval pipelines, collaborate cross-functionally, write maintainable code, run POCs for new AI tech, and improve AI development practices and tooling.

As a Senior Software Engineer, you'll build products, deliver continuous changes, mentor teams, architect scalable systems, and promote best practices.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

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

The Senior Operations Reliability Engineer will manage operational reliability and health of enterprise platforms, improve automation workflows, conduct incident management, and mentor junior engineers while ensuring compliance and governance for SaaS tools.

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.

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 maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.

As a DevOps Software Engineer, you will support the hx Renew platform, provide technical guidance, and mentor team members while tackling complex engineering tasks.

Integrate and maintain CHAOS hardware, sensors, and software in customer environments; debug complex hardware/software/network issues; build diagnostics and automation; document configurations and troubleshooting; capture operational feedback and support deployments and mission operations (travel up to 50%).

Deploy, test, and troubleshoot CHAOS software in customer environments; translate customer workflows into product requirements; design and build new software; integrate sensor data; develop and apply ML/AI solutions; collaborate with engineering teams and travel to customer sites and company offices as needed.

The role involves diagnosing and resolving production incidents, developing fixes in Java, collaborating with teams, and improving system reliability while managing documentation and monitoring performance.

Provide end-to-end technical support for customers: own ticket lifecycles, troubleshoot networking, APIs, and Linux environments, author knowledge-base articles, analyze ticket trends, and escalate complex issues to engineering while driving process improvements.

Own and deliver the platform's intelligence layer end-to-end: design, build, and improve agent systems for enterprise transformation. Act as the technical authority, implement production-grade LLM-based services, ground agents in real context, collaborate with Product Owner, and drive systems engineering and shipping decisions.