Top Python Jobs in London

The role involves building ETL pipelines, optimizing datasets, leveraging public cloud technologies, and integrating with data science initiatives to support business-critical data and analytics products.

As Electronics Engineering Manager, you will lead FPGA development and design complex electronics systems, managing a team while ensuring regulatory compliance and high-quality standards.

As a Senior Data Analyst, you will analyze subscription funnels and user behavior, develop LTV models, and collaborate with teams to enhance user engagement and retention strategies.

As a Staff Python Software Engineer, you will lead engineering initiatives, optimize deployment patterns, define coding standards, maintain core components, and foster collaboration across teams to enhance developer experience and operational efficiency.

The Principal Solution Engineer will solve complex customer problems, demonstrate Snowflake's technology, and collaborate with sales and technical teams to drive customer success.

Design and manage data infrastructure with a focus on Snowflake, data modeling, and engineering. Lead data architecture and governance, ensuring quality for AI applications and analytics.

Build end-to-end testing, evaluation, and feedback systems for a global GenAI assistant. Design data pipelines, APIs, and dashboards; own features from design to production; ensure safety, compliance, and quality; provide technical leadership and mentor peers.

The Analytics Director leads the analytics function, overseeing projects, managing teams, nurturing client relationships, and driving innovation in data solutions for clients globally.

As a Technical Support Engineer, you will lead field operations, develop fixes for software issues, manage escalations, and communicate with customers while maintaining high system uptime.

The Senior Software Engineer will lead the design and development of a multi-tenant SaaS platform, assist in technical projects, mentor junior engineers, and ensure system reliability and performance optimization.

You will contribute to the inference platform, maintain APIs, support users, improve CI/CD, and ensure platform reliability.

The Market Data Software Engineer will lead the architecture and implementation of a low-latency market data platform, oversee engineering teams, manage projects, and ensure data quality and governance for financial services.

Seeking a Software Engineer for Regulatory Reporting to build backend systems ensuring compliance. Responsibilities include system design, data integration, and audit support.

Design and implement threat detection, anomaly identification, and predictive security analytics; automate vulnerability management and incident response; configure security tooling with Infrastructure as Code; collaborate across teams to embed AI in security processes; perform threat modeling and support security policy development.

Design, build, and deliver prototypes while representing the company in executive meetings, collaborating with various teams to shape product strategy.

Perform cloud and on-prem security assessments, threat and risk analysis, enforce security policies, integrate security into IT operations, automate vulnerability management and reporting, and communicate risks to technical and business stakeholders during M&A and integration activities.

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

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 Product Engineer will develop user-facing features, improve the product's UX and design, and build backend APIs, focusing on modern web applications and AI-driven materials science solutions.

Contribute to the Data Engineering team by building data models, optimising the Data Warehouse, and improving data quality while applying best practices.

The AI Product Owner will define, shape, and deliver AI capabilities, manage the AI product roadmap, engage with clients, oversee SDLC delivery, ensure compliance, and support internal teams.

The Product Support Specialist - Institutions acts as the product expert for clients, providing technical support, guiding product use, and enhancing client engagement through training and tailored solutions.

As a Senior DevOps Engineer, you'll automate and standardize cloud infrastructure, design CI/CD pipelines, and ensure high availability while advocating DevOps best practices.

As a Data Scientist, you'll build and manage high-quality datasets for secure Generative AI, collaborate on data needs, and ensure model performance.