Top Python Jobs in London

The Associate Operations Manager will analyze marketplace inefficiencies, optimize operations, and support strategic execution for improved business performance.

As a DevOps Engineer, you'll enhance systems delivered in AWS, automate and monitor infrastructure, and collaborate closely with software teams to ensure operational efficiency.

As a Support Engineer, you'll resolve technical issues in AI-powered healthcare. Responsibilities include customer support, issue diagnosis, and collaboration with teams to improve product reliability.

This role involves end-to-end ownership of product delivery, focusing on backend systems, LLM integration, and cross-functional collaboration in a full-stack capacity.

As a Senior CSIRT Analyst, you will investigate security incidents, respond to threats, mentor junior analysts, and improve detection capabilities using cloud security tools.

As a Full Stack Engineer, you will own the tech stack, build web apps, integrate EHR systems, and design custom workflows for healthcare automation.

The Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.

Drive technical SEO and AI integration across brands, collaborate with product teams, enhance workflows, and analyze impacts on revenue.

The Senior Arista Engineer will lead the design, implementation, and optimization of Arista networks and Fortinet solutions, while mentoring network engineers and driving automation.

The MLOps Engineer will enhance ML infrastructure, deploying and monitoring models, ensuring scalability and security, while collaborating with cross-functional teams.

Design, develop, and deploy scalable SaaS applications while implementing DevOps practices, ensuring high performance, and collaborating with the product team to enhance user experience.

As a Senior Analytics Engineer, you will build scalable data models, ensure data quality, collaborate with teams, and support business decision-making.

This role involves rapidly building prototypes, engaging with customers to understand needs, and collaborating with teams to shape product direction. You'll demonstrate technical solutions in executive meetings and act as a forward-deployed engineer to validate opportunities on-site.

The role involves designing and building end-to-end prototypes, collaborating with sales teams, and representing the company in executive meetings, requiring strong customer-facing skills and technical expertise.

The Principal Engineer will focus on scaling AI-driven development, shaping engineering teams' practices, supporting project transitions, and enhancing application deployment processes.

The Risk/P&L Analyst is responsible for managing risk systems, monitoring trading exposures, producing daily P&L reports, and preparing risk reports for senior management.

Hands-on cloud engineer responsible for designing, implementing, and supporting Azure and Oracle Cloud (with AWS onboarding) IaaS/PaaS solutions, driving automation, producing architectures, and collaborating with app/infrastructure teams to ensure secure, scalable, and cost-efficient cloud platforms.

The Business Intelligence Developer enhances data systems, develops solutions, collaborates with teams, and ensures compliance with control requirements.

The Director, Head of Cloud will define and execute a multi-cloud strategy, oversee cloud implementation and governance, and lead a team to modernize infrastructure and promote cloud solutions across MUFG.

The Senior Media Systems Engineer will install and maintain media systems, support workflows at events, and ensure media technology reliability, all while managing reports and health safety regulations.

As a Software Engineer on the Agent Engineering team, you'll design and build AI agents to enhance customer interactions, collaborating with various industries and addressing complex challenges.

Research Analyst will apply economic theories and quantitative methods to solve problems, conduct statistical analyses, and create models while collaborating with senior consultants.

The Quantitative Risk Manager oversees margin models, risk governance, develops quantitative solutions, and enhances risk models and IT systems for LCH's RepoClear and EquityClear operations.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

As a Data Analyst, you will analyze iwoca's data to support public policy, create materials for stakeholders, and communicate insights effectively.