Top Python Jobs in London

The Senior Migrations Engineer will develop and maintain the Migrations Platform, ensure reliable migrations, and support onboarding of new schools, emphasizing collaboration and quality improvement.

Lead the development and deployment of AI systems, designing scalable ML software and infrastructure while mentoring junior engineers and advising clients.

Build and maintain backend-first features and integrations for Triptease's marketing channels. Work across the full stack (primarily backend), design scalable distributed systems, implement CI/CD on cloud platforms, collaborate closely with product teams, pair program, write tests (TDD), and contribute to squad strategy and product quality.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Serve as the primary technical post-sale contact for EMEA customers, leading onboarding, implementations, troubleshooting, product adoption, and expansion. Translate business and security needs into configurations, build long-term relationships, gather feedback for Product and Engineering, and maintain customer-facing documentation and playbooks.

Lead end-to-end physical implementation of major IP blocks or full-chip designs: floorplanning, place-and-route, clock tree synthesis, timing closure, physical verification, and automation of flows. Collaborate with RTL, DFT, verification, package, and library teams to meet PPA targets, mentor junior engineers, and drive manufacturability and sign-off across PVT corners.

Develop, optimize, and maintain embedded software for microcontrollers and microprocessors across RTOS and bare-metal environments. Collaborate with hardware teams, perform testing/debugging, optimize performance and power, participate in code reviews, produce documentation, and contribute to open-source projects.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Serve as primary technical advisor for strategic GPU cloud customers, guiding design, deployment, and scaling of large-scale ML training and inference workloads. Troubleshoot complex AI/ML issues, optimize GPU performance, liaise with sales and product teams, and drive customer-aligned feature requests and solutions.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Develop and implement deep-learning and computer-vision models for histology imaging to create spatial biology biomarkers. Collaborate with engineers, clinicians and product teams, build scalable data pipelines, manage regulatory/product inputs to translate research into clinical-grade tools, and communicate results via stakeholders and publications.

Lead and grow an analytics engineering team to build self-service analytics: own semantic layer, core dbt models, dashboards, and Lightdash adoption. Establish governance, modeling standards, testing, documentation, and enablement while partnering with analysts and Data Engineering to deliver scalable, production-quality data products.

Lead statistical programming for sponsor clinical trials: implement SDTM/ADaM/Define.xml, develop and validate SAS/R programs, oversee CRO deliverables, support regulatory submissions, and create standards, SOPs, and documentation.

Own and maintain deployment pipelines, support production and non-production applications, ensure monitoring, security, and performance, troubleshoot incidents, mentor peers, and drive continuous optimization across cloud infrastructure and platforms.

Design, validate, and operationalize threat detections in real customer environments. Test and tune detection logic against live telemetry, support investigations, and collaborate with Product and Engineering to integrate high-confidence detections into Binalyze AIR and improve detection coverage.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

As a Senior SOC Analyst, you'll lead complex incident response, perform threat hunting, malware analysis, and mentor junior analysts while contributing to SOC processes and client communication.

Lead strategic direction for international DevOps: design CI/CD and automation, manage cloud infrastructure (AWS/EKS/RDS), run PoCs, author design docs, mentor engineers, liaise with AWS and cross-unit leads, maintain central developer services, ensure security and compliance, and support incident response to keep services reliable.

Lead the AI Engineering squad, driving the design and deployment of production-grade AI systems to enhance business value while ensuring compliance and best practices.

The Principal Cloud DevOps Engineer will deliver solutions on Google Cloud, lead teams, mentor, and engage with clients across various sectors, focusing on DevSecOps processes and architecture.