Top Python Jobs in Glasgow

The Support Software Engineer is responsible for designing, building, and maintaining billing and invoicing systems, transitioning from support to software engineering roles, troubleshooting issues, and collaborating with stakeholders.

The Support Software Engineer will design, build, and maintain critical billing systems, troubleshoot discrepancies, and automate processes while collaborating with business stakeholders.

The role involves researching and prototyping geospatial AI applications, validating ideas through POCs, and collaborating with teams to transition them into production features.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

Design and implement backend systems for AI applications, manage model integration, build orchestration pipelines, and ensure performance and security in production environments.

The Senior DevOps Engineer will design and manage AWS infrastructure, deploy applications using Kubernetes, enhance CI/CD pipelines, and advocate automation and collaboration in a fast-paced team environment.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

The Full Stack Engineer will develop AI products using TypeScript, Python, and various web technologies, collaborating with a small team to solve complex problems.

As a Software Development Engineer II, you'll develop mapping tools, maintain APIs, ensure reliability as user demands grow, and collaborate on scalable backend services.

As a Senior Software Engineer, you will lead your team in shipping features, making technical decisions, and mentoring others to scale products effectively.

Manage and improve the AWS infrastructure, deploy into new regions, monitor releases, and implement new technologies in a fast-paced environment.

Lead Data Engineer responsible for technical direction, design and scalability of data infrastructure, mentoring engineers, and aligning data initiatives with business priorities.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

As an Android Engineer at Wave, you'll design and develop features for financial tools, collaborating with teams, resolving bugs and user feedback, while taking ownership of projects.

As a Staff SRE, you will ensure the reliability, scalability, and performance of systems, lead incident management, and drive automation efforts.

Develop high-performance trading strategies and systems for cryptocurrency trading, focusing on risk management and system performance.

The role involves developing automated security solutions, collaborating on security needs, maintaining tools, and supporting on-call operations, with a focus on improving security workflows.

The Web Developer will create and maintain high-quality web applications, collaborating with designers and other developers to enhance user experience while adhering to web standards and best practices.

As a QA Automation Engineer, you'll execute tests, track defects, collaborate with teams, and expand your QA expertise in a remote-first, supportive environment.

The Cloud Platform Engineer will lead the cloud platform team, focusing on building a multi-cloud architecture, ensuring tenant isolation and security, and automating infrastructure. Responsibilities include architecting scalable systems, defining best practices, and collaborating with development teams.

This role involves designing and maintaining cloud infrastructure, automating provisioning, and enhancing system reliability through monitoring, collaboration, and mentorship.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on DevOps, designing infrastructure and deployment pipelines, and collaborating on AI Agent features and cybersecurity solutions.