Top Python Jobs in London

Build and evolve an AI tutoring system, run evaluations, design software, collaborate with teams, and ensure quality through testing and refinement.

Responsible for building and evolving an AI tutoring system, running experiments, collaborating with teams, and ensuring quality in model behaviors.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

Design, build, operate, and maintain scalable alerting backend systems. Drive features end-to-end, contribute to open-source, participate in on-call rotations, mentor teammates, and collaborate remotely to improve reliability, performance, and alert evaluation at scale.

Lead technical pre-sales for DACH customers: qualify opportunities, design architectures, run demos and POCs, respond to RFPs, guide API integrations, mentor junior presales engineers, and drive the technical win while building customer trust.

Design, build, and maintain scalable backend systems and APIs using Go/Python. Integrate enterprise services, data pipelines, event-driven tech (Temporal, Kafka), and LLMs (OpenAI, Gemini, Claude). Ensure security, high availability, multi-tenant SaaS deployments, and improve engineering practices across the stack.

Operate and maintain production clusters, build observability (metrics, logs, traces) and automation, respond to incidents, create runbooks and troubleshooting documentation, collaborate with engineering teams, participate in on-call rotations, and drive reliability culture and continuous improvement.

Deliver and configure CausewayOne workforce management solutions, lead customer projects, integrate systems via APIs, assist support, provide training and documentation, and drive excellent customer experience.

Lead discovery, design and delivery of data modernisation and migration projects. Design data lakes/warehouses/lakehouses and landing zones, advise on data strategy, governance and quality, implement Microsoft/Azure and Databricks platforms, support AI/ML initiatives, run workshops, produce technical documentation, contribute reusable assets, and support pre-sales and practice development.

Lead data visualisation and reporting strategy: design interactive dashboards, standardise metrics, modernise executive reporting, embed visualisations into SaaS products, develop data storytelling frameworks, translate complex analytics into actionable narratives, and train teams to drive insight adoption across the organisation.

Build browser infrastructure and tooling to provide reliable, large-scale web access for an agent-native search platform. Research website-browser interactions, fingerprinting, client verification, and browser networking. Implement instrumentation, observability, debugging tools, and translate findings into production systems at internet scale.

Design and build production data models and metrics using DBT and cloud data platforms. Drive metric ownership, cross-functional analytics, and scalable data products. Lead technical projects, improve data architecture and processes, and advise teams on analytics, FinOps, and AI-assisted workflows to enable data-driven decisions across the company.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Lead and manage multiple rapid incident response engagements: coordinate forensic investigations, prioritize tasks, brief customers, produce MITRE-mapped executive reports, guide remediation, mentor analysts, and hand over incidents across time zones.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

Lead development and deployment of AI systems, design scalable ML software, mentor junior engineers, and collaborate with teams to solve client challenges.

Lead backend and edge/IoT engineering, implementing scalable solutions and mentoring team members while collaborating with Data Science teams.

As a Forward Deployed Engineer, you will build and deploy AI-driven solutions, collaborating with clients to operationalize LLM-powered agents. You will integrate these solutions with existing systems, design scalable architectures, and support client engagements through your technical expertise.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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.

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

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%).