Top Python Jobs in London
The role involves developing large-scale distributed systems, focusing on backend infrastructure and machine code programming. Candidates will be expected to design reliable services, contribute to API design, and potentially work with technologies like TypeScript, Kubernetes, and JAX.
The Lead Backend Engineer will oversee the development and maintenance of scalable backend services for a AAA game project. Responsibilities include leading technical direction, coding best practices, team management, and collaborating with various disciplines to optimize development processes and ensure high-performance architecture.
The Senior Site Reliability Engineer will ensure the performance and reliability of Fivetran's infrastructure, manage incident responses, and collaborate with engineering and product teams to enhance system reliability and deployment processes.
As a Reliability Software Engineer at Squarepoint, you will be responsible for ensuring the performance, stability, and availability of software systems, implementing observability capabilities, optimizing performance, and developing automation and tooling for system operations. You will also provide level-2 support for incident response and collaborate with cross-functional teams.
As a Lead Engineer at Blenheim Chalcot's Fintech venture, you'll manage a team of engineers, developing and deploying software while ensuring infrastructure efficiency. Your role involves mentoring, driving productivity, and fostering collaboration in a fast-paced environment. You will lead architectural discussions and implement DevOps practices for scalability and maintainability.
Waymo is seeking research engineers to work on building ultra-realistic autonomous vehicle simulations using machine learning techniques. The role involves collaborating with teams to improve simulation realism, designing experiments, developing metrics, training large models, and integrating them into the simulator. Preferred qualifications include a strong background in deep learning, coding skills, experience in ML techniques, and expertise in data analysis. Experience in autonomous vehicles is a plus.
As a Senior Site Reliability Engineer at Fivetran, you will enhance the reliability and performance of the Fivetran Data Platform by collaborating with engineering teams and ensuring the infrastructure's robustness through automation, monitoring, and incident response, while managing cloud platforms and coding in Python and Go.
Join a talented development team to improve backend API's primarily written in Python. Develop high-quality user experiences and optimize systems. Work independently to identify and solve issues. Opportunity for learning and growth in a innovative and collaborative environment.
Lead Data Engineer role at a health technology platform creating new data and clinical insight services. Responsible for architecting data flows, developing analyses using medical NLP, and implementing reports and dashboards. Work with Google Cloud Platform, PHP, Python, Typescript, MySQL, and BigQuery. Remote working options available.
The Senior Site Reliability Engineer will enhance the performance and reliability of Fivetran’s infrastructure. Responsibilities include monitoring systems, automating deployments, and addressing incidents with a focus on robust infrastructure while collaborating with engineering and support teams.
The Technical Account Manager at AppOmni is responsible for engaging and enabling the company's largest customers in EMEA, driving value, and ensuring customer success through in-depth technical expertise and relationship-building skills.
As a Senior Site Reliability Engineer at Fivetran, you will ensure the performance and reliability of the company's infrastructure. Key responsibilities include monitoring system availability, coordinating issue resolution, and enhancing deployment pipelines using various technologies. Collaboration with engineering, product management, and sales teams is essential to evolve and maintain robust production systems.
As a Google CCAI Architect at TTEC Digital, you'll design and implement AI-driven customer experience solutions, lead projects in a multi-site environment, manage developer teams, and create detailed solution documents. Keeping abreast of AI advancements is vital, alongside collaborating with clients and ensuring project success.
Join a leading digital analytics company as a Cyber Risk and Analytics Engineer. Collaborate with experts to develop innovative cyber risk models for the insurance industry. Use Python, SQL, and big data frameworks to analyze cyber threats and craft risk solutions. This role offers the opportunity to make a difference in cybersecurity and impact real-world decisions.
As a Senior Site Reliability Engineer at Fivetran, you will enhance the performance and reliability of the infrastructure, oversee incident responses, and optimize deployment pipelines while collaborating with various teams to ensure 100% system availability.
As a Principal Software Engineer, you will lead the design and development of an innovative AI-centric platform. Responsibilities include architecting scalable solutions, mentoring the engineering team, ensuring high-quality code through best practices, developing RESTful APIs, and deploying applications to Google Cloud Platform. You'll work closely with leadership, drive strategic decisions, and support production environments, all while being part of a dynamic startup environment.
In this role as a Senior Site Reliability Engineer, you will ensure the performance and reliability of Fivetran's cloud infrastructure. You will work with teams to enhance infrastructure robustness, oversee incident responses, and automate deployment processes, leveraging various cloud technologies and scripting languages.
As a Senior Site Reliability Engineer, you will lead initiatives to enhance the scalability of Dayshape’s cloud platform while maintaining and improving its cloud infrastructure on Azure. Responsibilities include automating processes, creating observability tools, diagnosing issues, and mentoring team members, all while using various technologies including IaC tools like Terraform and Pulumi.
The Engineering Innovation AI Lead will lead a team of software engineers to develop and support AI and data applications for investment management, collaborating with cross-functional teams and ensuring high-quality software solutions while maintaining a focus on system security and agile methodologies.
The System Architect will design and develop software tools for analyzing and maintaining quantum system architecture. Responsibilities include developing internal tools, maintaining models, deriving performance metrics, and implementing verification test benches in collaboration with cross-functional teams.
The Senior Site Reliability Engineer will be responsible for ensuring the reliability and performance of Fivetran’s production infrastructure. Key tasks include monitoring systems, recommending improvements, automating deployments, and collaborating with engineering teams to enhance infrastructure stability and security.
The Senior Full Stack Engineer at Veeva Systems will focus on architecting and developing innovative web applications, working with technologies like Python, Typescript, GraphQL, and AWS. The role involves building scalable applications using REST and GraphQL APIs, solving complex problems, and participating in technical planning.
The DevOps Engineer will design, implement, and maintain cloud infrastructure for a data-intensive application, ensuring it meets scalability, availability, and reliability needs. Responsibilities include participating in architecture improvements and supporting development teams with their infrastructure needs.
As a Data Engineer at Veeva, you will build data tools, enhance data quality, collaborate on data solutions, and develop a data validation framework. You will be essential in harmonizing global data operations to support the success of the OpenData initiative.
As a data engineer at Veeva Systems, you will improve data pipelines on the Veeva Link platform, focusing on innovation and enhancements. Responsibilities include working with JVM-based languages or Python, collaborating with data science teams on machine learning models, and maintaining software principles for quality in data processing.
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