Top Python Jobs in London

Support analytics projects for communications and reputation challenges using statistics, machine learning and AI. Collect and analyze structured and unstructured data, build dashboards, pipelines and tools, deliver insights to clients, assist pitches, and drive GenAI/NLP adoption and data-driven decision making across the firm.

Lead incident response and digital forensics engagements: perform forensic imaging and analysis across Windows, Linux, macOS and mobile, assess client security posture against standards, develop investigative plans, document findings in incident reports, and support practice growth and methodology development.

Produce actionable threat intelligence across the full lifecycle: track threat actors, analyse malware and C2 infrastructure, map activity to MITRE ATT&CK, develop detections (YARA), support DFIR/SOC, build tooling and automate workflows, and communicate findings to technical and non-technical stakeholders.

Lead data science projects across planning optimisation, forecasting and metrics modelling. Build and deploy ML solutions, perform SQL/Python analysis, create visualisations and reports, mentor junior data scientists, and collaborate with stakeholders to influence business decisions.

Lead a 12-month project to consolidate multiple data sources, identify root causes of order damages, and build statistical and machine-learning models. Deliver actionable insights, visualisations and reports to influence stakeholders, implement corrective actions, and mentor other data scientists.

Forward Deployed Engineers at Thought Machine deliver technical solutions by embedding with clients, managing project lifecycles, coding production systems, and facilitating client success with technological implementations.

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.

Train and fine-tune large language models, build and maintain the full LLM stack and agentic pipelines, improve chat/agent algorithms, translate NLP research into roadmap, and collaborate with validation, content, and dataset teams to design experiments and measure model quality.

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.

Set and drive front-end technical strategy across multiple teams for a complex merchant platform. Architect scalable, performant, accessible front-end systems (component system, state management), shepherd Primer AI Companion integration, mentor engineers, ensure observability and cross-team coherence, and partner with Product, Design, and backend teams.

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.