Top Python Jobs in Glasgow

Design, develop, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and cloud deployments. Use agentic development tools responsibly and work with complex data models, vector embeddings, SQL and PySpark to support intelligent software systems.

Build AI-driven SRE tooling and agentic automation to triage, diagnose, and remediate infrastructure issues. Integrate LLM-powered agents with observability, ITSM, and infrastructure APIs, develop self-service tooling and ChatOps, tune event/alert intelligence, and convert runbooks into auditable executable automations while contributing to operational standards and incident learning.

Lead backend and edge/IoT engineering, implementing scalable solutions and mentoring team members while collaborating with Data Science teams.

As a Forward Deployed Engineer, you will build and deploy AI-driven solutions, collaborating with clients to operationalize LLM-powered agents. You will integrate these solutions with existing systems, design scalable architectures, and support client engagements through your technical expertise.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

Develop, debug, and maintain Python 3 code for serverless AWS services (Lambda, S3, SQS, SAM). Build HTTP APIs and event-driven systems, work with relational databases, use CI/CD, Git/GitHub, Jira/Confluence, and apply TDD/BDD while collaborating with remote teams across time zones.

The Forward Deployed Engineer at Hammerspace will optimize AI and data architectures, engage deeply with clients, and ensure seamless integration of Hammerspace solutions in hybrid-cloud environments.