Top Python Jobs in London

Design, build, and maintain developer tooling for the MAX AI inference stack, including profilers, tracers, debuggers, dashboards, and agent-native tools. Integrate tooling across MAX, Mojo, and driver APIs, collaborate with kernel/model/serving engineers, and drive performance analysis, debugging, and observability to improve developer productivity and production reliability.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Develop and maintain .NET/WPF desktop applications using C# and MVVM. Write technical specifications, deploy code, use CI/CD tools, ensure code quality (Veracode, SonarQube), and work with MS SQL Server (T-SQL, SSIS), XML/ETL and data warehousing. Collaborate with stakeholders and communicate effectively.

Partner with product and business teams to define metrics, design and analyze experiments, build analytical frameworks, maintain governed dashboards, conduct deep-dive analyses (funnels, retention, cohorts), size opportunities, and connect product metrics to revenue to inform roadmap and leadership decisions.

Partner with sales to demonstrate Flare's CTI and external attack-surface platform, run end-to-end POCs, deliver threat briefings to ISACs, interpret and translate findings for technical and executive audiences, train and enable teams, collaborate with product and research, and represent Flare at events. Bilingual (English/German) and travel flexibility required.

As a Data Scientist, you will design and deliver bespoke AI solutions, work with clients on project feasibility, and ensure delivery excellence while acting as a technical advisor.

As a Database Reliability Engineer at ClickHouse, you will enhance system reliability, manage incident responses, improve performance metrics, and collaborate across teams to ensure optimal customer experiences.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

This role involves analyzing complex datasets, developing metrics, building dashboards, and collaborating with teams to enhance fraud detection strategies using ML models.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The L3 SOC Analyst leads complex incident investigations, drives automation, mentors junior analysts, and enhances SOC capabilities using advanced security technologies.

Design and validate agentic AI capabilities for Protege in PatentSight using ML, NLP, and LLMs. Build retrieval and hybrid search strategies, run experiments, evaluate models, analyze large IP datasets, and translate results into product recommendations while collaborating with engineers, product, and IP experts.

Design, experiment, and validate NLP/LLM and generative AI solutions for patent intelligence. Develop agentic workflows, retrieval strategies (hybrid semantic+lexical), evaluation metrics, and large-scale text processing methods. Partner with product and engineering to translate validated models into scalable, customer-facing features and deliver measurable business impact.

The Director of Science will guide scientific research in genetics, leading algorithm development and managing a team to enhance MyHeritage's DNA products, impacting user ancestry discovery.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

The Senior Platform Engineer will enhance reliability, performance, and scalability of systems, improve operational excellence, and automate processes. Responsibilities include incident management, observability solutions, cost optimization, and cross-functional collaboration.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

The Senior Application Developer will create applications on D-Wave's quantum computers, collaborate with stakeholders, and solve complex problems using algorithms in Python.

Monitor and analyze customer vulnerability and asset risk data using Qualys TruRisk; research threats and exploits; produce reports and briefings; track remediation; onboard environments; escalate high-risk findings; improve playbooks and processes.

Research and engineer large multimodal and reinforcement-learning models for robotic agents: design, train, evaluate models; prototype in simulation and on hardware; build data pipelines, simulation environments, and distributed training infrastructure; collaborate to scale promising approaches into production and publish results.

Design and build research prototypes and production-capable systems to enable portable, interoperable agent and model workflows. Develop model routing, provider abstractions, memory and context representations, benchmarking suites, and evaluation protocols. Run ML experiments, implement robust APIs and integration layers, collaborate across research and engineering, and communicate results via reports, demos, publications, and open-source releases.