Top Python Jobs in London

As a Data Scientist, you will design and deliver data science solutions, work closely with clients, and drive delivery excellence while ensuring technical feasibility.

The Senior Machine Learning Engineer will lead the development and deployment of AI systems, designing scalable ML software, collaborating with teams, and mentoring juniors.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

The Ad Operations Analyst will automate analytical processes, manage ad operations, troubleshoot tracking, and deliver insights through client reporting. They will work with SQL, Excel, and Python to enhance data analysis and client engagement.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

The Senior Software Developer will create and enhance AI prototypes, ensure technical standards, support backend service integrations, and collaborate with multidisciplinary teams.

Monitor and manage sportsbook pricing, bet flow, market liabilities and customer risk in real time. Create reports and analyses using SQL, Python and BI tools, support trading/product teams, detect abuse, and recommend product and risk controls to improve profitability.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI/ML Engineer will design and optimize scalable systems, productionize AI prototypes, solve performance issues, and collaborate with teams on innovative solutions.

Design, build, deploy, and maintain scalable AI/ML pipelines and production models (including LLMs). Collaborate with data scientists and engineers to optimize model performance, latency, and cost on cloud platforms using MLOps practices, containerization, and CI/CD. Integrate AI capabilities into client and internal applications and monitor models in production.

Lead a team in developing Ceph-focused storage solutions, manage global engineers, foster quality and coaching culture, and facilitate technical delivery.

The Engineering Manager for IAM will lead a team developing secure identity and access management services using Go and Python, focusing on distributed systems.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The Senior Jira Software Engineer manages the Atlassian stack at Canonical, focusing on administration, configuration, automation, and integration responsibilities to improve data-driven decision-making across business operations.

The Junior Software Developer will collaborate on a cloud-native monitoring stack, developing features, debugging, and representing Canonical at events.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

Develop and enhance MAAS core components, improve architecture, collaborate across teams, and ensure high standards in documentation and CI practices.

Lead a regional team managing product workloads with a focus on improving devops culture, sound architecture, and quality assurance.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

Lead the automation of the Ubuntu Linux kernel build process, ensuring a simplification for client distribution. Engage with other engineering teams and innovate solutions for kernel build challenges.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.