Top Python Jobs in London

The Senior Full Stack Engineer will enhance and stabilize features in behavioral security systems, collaborate with cross-functional teams, oversee software development and testing, and conduct code reviews to ensure high-quality production. They will work with customers and support staff to resolve operational issues and continuously improve product functionality.

The Senior Data Engineer will lead the data engineering function, work on a modern data platform, and create data-as-product solutions. Responsibilities include assembling complex data sets, building ETL infrastructure, maintaining the Data Warehouse platform, and ensuring the platform adheres to financial models. The role requires strong leadership in coaching and mentoring along with effective communication skills.

The Software Developer will design, develop, test, and deploy web applications primarily using Python and Java. Responsibilities include collaborating with product teams, optimizing application performance, and ensuring seamless integration between user-facing elements and backend services.

The Implementation Engineer will integrate Kody's payment solutions with client systems, configure software, conduct client training, and provide ongoing technical support. They will work collaboratively with clients and internal teams to ensure successful software deployment and enhance client satisfaction.

The Backend Software Engineer at Yassir will develop scalable software solutions using Node.js, Python, or Go, design microservices, and contribute to architecture projects. Responsibilities include writing unit tests, improving code quality, and collaborating with teams to translate user requirements into technical solutions.

As a Senior Data Engineer at Notabene, you'll build and maintain scalable ETL pipelines, drive a data-driven culture, and collaborate with cross-functional teams to extract actionable insights from data. You'll promote data governance and security practices while ensuring the performance and scalability of data infrastructure.

As an Analytics Engineer, you will develop and maintain high-quality data models using dbt, optimize SQL-based transformation pipelines, collaborate with various teams to ensure data accuracy for business reporting, and create documentation and data quality checks while mentoring junior members.

As a Principal AI Engineer at Moonsong Labs, you will research, prototype, and design new web3 and machine learning infrastructure projects. You will collaborate with the VP of Products to validate ideas, create prototypes, and eventually turn them into production-ready architectures. The role demands creativity, hands-on prototyping, and a proactive approach to identifying project opportunities.

As a Principal DevOps Engineer, you will lead and mentor teams in implementing cloud architectures, designing CI/CD pipelines, and aligning DevOps initiatives with business goals. You will foster a culture of continuous improvement while ensuring optimal security and scalability of the DevOps infrastructure, leveraging your extensive experience in Azure and related technologies.

The Senior Power BI Engineer will design, develop and maintain business intelligence solutions, translate business needs into technical requirements, and create reports and visualizations. Responsibilities include collaborating with BI teams, conducting database queries, and improving existing BI offerings.

As a Site Reliability Engineer at GoCardless, you will work within a distributed team to manage infrastructure and enhance the reliability of the global platform for payments and banking products. Responsibilities include building automation, maintaining infrastructure, ensuring system security, and collaborating with both software engineers and data scientists.

Software Engineers at Jane Street will design and build systems and tools for the firm. They will work on solving problems across various areas such as trading desks and accounting while implementing foundational infrastructure. Experience in functional programming is not required, as learning on the job is encouraged.

As a Senior Site Reliability Engineer, you will ensure the reliability and performance of Fivetran’s infrastructure, automate deployments, monitor system performance, collaborate with engineering, and improve incident response and issue avoidance.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of Fivetran’s production infrastructure, manage incident responses, and deploy scalable artifacts using automation scripts. You'll collaborate with various teams to ensure the infrastructure meets availability and performance standards.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.

As a Senior Site Reliability Engineer at Fivetran, you will oversee the performance and reliability of the infrastructure, ensure incident response, and improve system robustness. You'll work collaboratively with engineering and product teams to enhance the deployment pipeline and manage infrastructure vulnerabilities.

The Senior Site Reliability Engineer will be responsible for the performance and reliability of Fivetran’s cloud infrastructure, managing incident response, enhancing system reliability, and collaborating with teams for continuous improvement. The role includes monitoring production infrastructure, implementing automation scripts for deployment, and ensuring the overall security and stability of services.