Top Python Jobs in London
Integral to the development and delivery of the Old School RuneScape product roadmap, responsible for programming tasks in Java, C++, and other languages, maintaining internal tools, providing time estimates, suggesting tech improvements, and contributing to project strategy.
Developer Productivity Engineers at Quantexa play a key role in enhancing team efficiency and effectiveness within the R&D department. They design and implement tools, systems, and processes to enable developers to deliver high-quality software faster. Responsibilities include CI/CD pipeline management, optimization of time/resource usage, streamlining workflows, and providing self-service facilities for developers. Required skills include experience with Kubernetes, proficiency in programming languages such as Scala, Python, Java, and familiarity with CI/CD pipelines, cloud platforms, and infrastructure as code tools.
Quantexa is seeking Mid, Senior, and Lead level DevOps Engineers to work on their cloud solutions and platform, involving improvement of availability, resilience, usability, and security. Responsibilities also include supporting software release activities and developing cloud-based product offerings for customers.
Canonical is seeking experienced Python/Go engineering managers to build highly performant and secure identity and access management solutions. The role involves designing and implementing complex distributed systems, working with container technology and Kubernetes, and ensuring software and infrastructure security and performance.
As a Machine Learning Solutions Engineer at Encord, you will work closely with customers to understand their requirements, provide technical inputs to the engineering team, support customer onboarding, build tools for feature requests, and more. You will play a key role in the customer lifecycle with a focus on technical knowledge and dealmaking. The role requires Python, SQL, and cloud integration skills.
Collaborate with Data engineering and Business Analytics team to design and implement PowerBI Dashboards, establish best practices, develop Dev-Ops around PowerBI Dashboards, work with Data Governance Teams, and build re-usable PowerBI components. Opportunity for career development and upskilling provided by the company.
Building and implementing new development tools and infrastructure, automating and improving development and release processes, managing environment deployments and upgrades, identifying and fixing technical problems with CI/CD pipeline, collaborating with software engineers and building tools to reduce errors and improve customer experience, developing software to integrate with internal systems and APIs.
Lead the design, development, and integration of innovative machine learning models in Firefox. Stay up-to-date with the latest advancements in machine learning and natural language processing. Drive collaboration and upskill the team on AI technologies.
The Graduate IT Operations Analyst/Developer will be responsible for database configuration, testing of new products and services, technical fault diagnosis, support functions, and developing custom software to improve performance. The candidate should have a degree in Computer Science or a STEM-related field, experience with programming languages such as Java/C++/C#/Python, and a desire to learn C# coding and TSQL.
Senior Platform Engineer responsible for designing and building cloud platforms for a health organization, working with Azure and other cloud technologies, automating tasks, deploying tools, and ensuring security and scalability. Involvement in 24/7 on-call rotation and collaboration with engineering and operations teams.
As a Senior Client Solutions Engineer in our Professional Services team, you will implement and customize our product perfectly to our customers' unique needs and environment. Responsibilities include developing innovative solutions, deploying solutions, configuring and optimizing solutions, fine-tuning relevance rankings, and transforming user experience with customizable interfaces.
Join our team as an AI Inference Engineer to work on large-scale deployment of machine learning models for real-time inference. Responsibilities include developing APIs, addressing bottlenecks, improving system reliability, and implementing inference optimizations.
As a Research Engineer at Anthropic, you will be responsible for building large-scale ML systems, improving infrastructure, running scientific experiments, and enhancing development tooling. The role focuses on creating safe, trustworthy AI systems. This is an evergreen role with ongoing evaluation of top talent to join the team.
As a FinOps Solution Engineer at Flexera, you will collaborate closely with sales teams to identify business value and drive revenue through Cloud Cost Optimization and Governance solutions. You will consult with customers, deliver demonstrations, contribute to product enhancements, and develop best practices for customer success.
Lead infrastructure engineer role at Qube Research & Technologies focusing on high-performance storage systems for AI/ML modeling. Requires expertise in Linux, storage protocols, networking, benchmarking, DevOps, programming languages, and infrastructure metrics visualization.
Join Qube Research & Technologies as a Senior Linux Platform Engineer responsible for high-performance trading and research infrastructure. Lead the Research infrastructure engineering team focusing on Linux-based systems and DevOps tooling. Stay updated on emerging technologies and provide strategic insights for infrastructure optimization. Work with Python, Golang, Splunk, Prometheus, Grafana, Docker, and Kubernetes technologies.
Desk-focused developer role in a global quantitative investment manager, building applications for market data and insights to inform trading decisions. Collaborative environment, focusing on production processes and software infrastructure improvement.
Seeking an experienced Staff Engineer to provide technical leadership and support for high-impact projects, collaborate with frontend and backend teams, and optimize service performance. Responsibilities include mentoring engineers, enforcing coding standards, implementing testing strategies, and driving CI/CD practices. Must have 8+ years of software development experience, 1+ years as Staff Engineer, and expertise in design and architecture in consumer-facing tech.
Join Cutover as an Integrations Engineer to build world-class solutions that seamlessly integrate customers' systems with the Cutover platform. Collaborate with talented engineers, understand customer requirements, write high-quality code, deliver integrations on time, work with cloud-based technologies, and maintain existing integrations.
Cloud Engineer responsible for analyzing and recommending resource allocation, designing technical solutions, automating tasks, proposing enhancements, managing cloud services integration, and performing root cause analysis. Experienced in ITIL, ServiceNow, server OS patching, and Linux administration. Skilled in GCP and AWS architecture and infrastructure maintenance within an enterprise environment.
The Commercial Sales Engineer at Snowflake will collaborate with sales, product, engineering, and marketing to bring Snowflake to market, demonstrate the value of Snowflake technology to prospects, maintain understanding of competitive technologies, and improve Snowflake's products and marketing. Requires minimum 2 years of pre-sales technical experience, knowledge of data architecture, data analytics, and cloud technology, hands-on experience with SQL, and a university degree in computer science or related field.
As a Senior Client Solutions Engineer in our Professional Services team, you will implement and customize our product to customers' needs using JavaScript & TypeScript. You'll lead customers through successful delivery of our search solution, ensuring an exceptional digital search experience. Responsibilities include developing innovative solutions, deploying and configuring solutions, optimizing relevance rankings, and transforming user experience.
The Observability Engineer will design, implement, and maintain observability solutions for SimCorp applications, infrastructure, and services. They will collaborate with software developers, Operations, and IT teams to build and maintain a robust monitoring, logging, and tracing framework.
Platform engineer, MLOps role at Writer, a full-stack generative AI platform company empowering leading enterprises. Responsibilities include designing CI/CD pipelines, managing monitoring systems, optimizing training environments, and overseeing large Kubernetes clusters. Ideal for individuals experienced with Terraform, Python, Bash, cloud platforms, and ML systems.
Play a key role in advancing cloud education by developing new content on AWS, Azure, and other cloud technologies. Collaborate with teams to create interactive learning experiences, provide feedback on course specifications, and manage course development processes.
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